Applications of Deep Learning to physics workflows Article Swipe
Manan Agarwal
,
Jay Alameda
,
Jeroen Audenaert
,
Will Benoit
,
Damon Beveridge
,
Meghna Bhattacharya
,
C. Chatterjee
,
Deep Chatterjee
,
Andy Chen
,
M. Saleem
,
Chia-Jui Chou
,
Sunil Choudhary
,
M. W. Coughlin
,
Maximilian Dax
,
Aman A. Desai
,
A. Di Luca
,
J. Duarte
,
Steven Farrell
,
Yongbin Feng
,
P. Goodarzi
,
Ekaterina Govorkova
,
M. J. Graham
,
Jonathan Guiang
,
Alec Gunny
,
W. Guo
,
J. Hakenmueller
,
Benjamin Hawks
,
S.‐C. Hsu
,
Pratik Jawahar
,
X. Ju
,
E. Katsavounidis
,
Manolis Kellis
,
E. E. Khoda
,
Fatima Zahra Lahbabi
,
Van Tha Bik Lian
,
Mia Liu
,
Konstantin Malanchev
,
Ethan Marx
,
W. P. McCormack
,
Alistair McLeod
,
Geoffrey Mo
,
Eric Moreno
,
Daniel Muthukrishna
,
Gautham Narayan
,
A. Naylor
,
M. S. Neubauer
,
Michael L. Norman
,
Rafia Omer
,
K. Pedro
,
Joshua C. Peterson
,
M. Pürrer
,
Ryan Raikman
,
Shivam Raj
,
G. Ricker
,
Jared Robbins
,
B. Safarzadeh Samani
,
K. Scholberg
,
A. J. Schuy
,
V. Skliris
,
S. Soni
,
Niharika Sravan
,
P. J. Sutton
,
V. Ashley Villar
,
Xiwei Wang
,
L. Wen
,
Frank Wuerthwein
,
T. Yang
,
Shu-Wei Yeh
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2306.08106
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2306.08106
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing these datasets requires both sufficient compute power and efficient workflows. Recent advances in Machine Learning (ML) and Artificial Intelligence (AI) can either improve or replace existing domain-specific algorithms to increase workflow efficiency. Not only can these algorithms improve the physics performance of current algorithms, but they can often be executed more quickly, especially when run on coprocessors such as GPUs or FPGAs. In the winter of 2023, MIT hosted the Accelerating Physics with ML at MIT workshop, which brought together researchers from gravitational-wave physics, multi-messenger astrophysics, and particle physics to discuss and share current efforts to integrate ML tools into their workflows. The following white paper highlights examples of algorithms and computing frameworks discussed during this workshop and summarizes the expected computing needs for the immediate future of the involved fields.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2306.08106
- https://arxiv.org/pdf/2306.08106
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380990857
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4380990857Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2306.08106Digital Object Identifier
- Title
-
Applications of Deep Learning to physics workflowsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-13Full publication date if available
- Authors
-
Manan Agarwal, Jay Alameda, Jeroen Audenaert, Will Benoit, Damon Beveridge, Meghna Bhattacharya, C. Chatterjee, Deep Chatterjee, Andy Chen, M. Saleem, Chia-Jui Chou, Sunil Choudhary, M. W. Coughlin, Maximilian Dax, Aman A. Desai, A. Di Luca, J. Duarte, Steven Farrell, Yongbin Feng, P. Goodarzi, Ekaterina Govorkova, M. J. Graham, Jonathan Guiang, Alec Gunny, W. Guo, J. Hakenmueller, Benjamin Hawks, S.‐C. Hsu, Pratik Jawahar, X. Ju, E. Katsavounidis, Manolis Kellis, E. E. Khoda, Fatima Zahra Lahbabi, Van Tha Bik Lian, Mia Liu, Konstantin Malanchev, Ethan Marx, W. P. McCormack, Alistair McLeod, Geoffrey Mo, Eric Moreno, Daniel Muthukrishna, Gautham Narayan, A. Naylor, M. S. Neubauer, Michael L. Norman, Rafia Omer, K. Pedro, Joshua C. Peterson, M. Pürrer, Ryan Raikman, Shivam Raj, G. Ricker, Jared Robbins, B. Safarzadeh Samani, K. Scholberg, A. J. Schuy, V. Skliris, S. Soni, Niharika Sravan, P. J. Sutton, V. Ashley Villar, Xiwei Wang, L. Wen, Frank Wuerthwein, T. Yang, Shu-Wei YehList of authors in order
- Landing page
-
https://arxiv.org/abs/2306.08106Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2306.08106Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2306.08106Direct OA link when available
- Concepts
-
Workflow, Cloud computing, Computer science, Domain (mathematical analysis), Coprocessor, Data science, Artificial intelligence, Machine learning, Database, Parallel computing, Operating system, Mathematical analysis, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4380990857 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2306.08106 |
| ids.doi | https://doi.org/10.48550/arxiv.2306.08106 |
| ids.openalex | https://openalex.org/W4380990857 |
| fwci | |
| type | preprint |
| title | Applications of Deep Learning to physics workflows |
| awards[0].id | https://openalex.org/G2726032533 |
| awards[0].funder_id | https://openalex.org/F4320334632 |
| awards[0].display_name | |
| awards[0].funder_award_id | ST/N005430/1 |
| awards[0].funder_display_name | Science and Technology Facilities Council |
| awards[1].id | https://openalex.org/G8323206103 |
| awards[1].funder_id | https://openalex.org/F4320334632 |
| awards[1].display_name | |
| awards[1].funder_award_id | ST/T000147/1 |
| awards[1].funder_display_name | Science and Technology Facilities Council |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T13650 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9749000072479248 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Computational Physics and Python Applications |
| topics[1].id | https://openalex.org/T11986 |
| topics[1].field.id | https://openalex.org/fields/18 |
| topics[1].field.display_name | Decision Sciences |
| topics[1].score | 0.9739999771118164 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1802 |
| topics[1].subfield.display_name | Information Systems and Management |
| topics[1].display_name | Scientific Computing and Data Management |
| topics[2].id | https://openalex.org/T10715 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9466000199317932 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1705 |
| topics[2].subfield.display_name | Computer Networks and Communications |
| topics[2].display_name | Distributed and Parallel Computing Systems |
| funders[0].id | https://openalex.org/F4320334632 |
| funders[0].ror | https://ror.org/057g20z61 |
| funders[0].display_name | Science and Technology Facilities Council |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C177212765 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8020291328430176 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q627335 |
| concepts[0].display_name | Workflow |
| concepts[1].id | https://openalex.org/C79974875 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6255730390548706 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q483639 |
| concepts[1].display_name | Cloud computing |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.6236211061477661 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C36503486 |
| concepts[3].level | 2 |
| concepts[3].score | 0.46323153376579285 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11235244 |
| concepts[3].display_name | Domain (mathematical analysis) |
| concepts[4].id | https://openalex.org/C86111242 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4536605775356293 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q859595 |
| concepts[4].display_name | Coprocessor |
| concepts[5].id | https://openalex.org/C2522767166 |
| concepts[5].level | 1 |
| concepts[5].score | 0.41365617513656616 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[5].display_name | Data science |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.39917105436325073 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| concepts[7].id | https://openalex.org/C119857082 |
| concepts[7].level | 1 |
| concepts[7].score | 0.39220863580703735 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[7].display_name | Machine learning |
| concepts[8].id | https://openalex.org/C77088390 |
| concepts[8].level | 1 |
| concepts[8].score | 0.1210789680480957 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q8513 |
| concepts[8].display_name | Database |
| concepts[9].id | https://openalex.org/C173608175 |
| concepts[9].level | 1 |
| concepts[9].score | 0.10613840818405151 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q232661 |
| concepts[9].display_name | Parallel computing |
| concepts[10].id | https://openalex.org/C111919701 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[10].display_name | Operating system |
| concepts[11].id | https://openalex.org/C134306372 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[11].display_name | Mathematical analysis |
| concepts[12].id | https://openalex.org/C33923547 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[12].display_name | Mathematics |
| keywords[0].id | https://openalex.org/keywords/workflow |
| keywords[0].score | 0.8020291328430176 |
| keywords[0].display_name | Workflow |
| keywords[1].id | https://openalex.org/keywords/cloud-computing |
| keywords[1].score | 0.6255730390548706 |
| keywords[1].display_name | Cloud computing |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.6236211061477661 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/domain |
| keywords[3].score | 0.46323153376579285 |
| keywords[3].display_name | Domain (mathematical analysis) |
| keywords[4].id | https://openalex.org/keywords/coprocessor |
| keywords[4].score | 0.4536605775356293 |
| keywords[4].display_name | Coprocessor |
| keywords[5].id | https://openalex.org/keywords/data-science |
| keywords[5].score | 0.41365617513656616 |
| keywords[5].display_name | Data science |
| keywords[6].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[6].score | 0.39917105436325073 |
| keywords[6].display_name | Artificial intelligence |
| keywords[7].id | https://openalex.org/keywords/machine-learning |
| keywords[7].score | 0.39220863580703735 |
| keywords[7].display_name | Machine learning |
| keywords[8].id | https://openalex.org/keywords/database |
| keywords[8].score | 0.1210789680480957 |
| keywords[8].display_name | Database |
| keywords[9].id | https://openalex.org/keywords/parallel-computing |
| keywords[9].score | 0.10613840818405151 |
| keywords[9].display_name | Parallel computing |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2306.08106 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2306.08106 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2306.08106 |
| locations[1].id | pmh:oai:oar:ryfa9-yqk18 |
| locations[1].is_oa | False |
| locations[1].source | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | info:eu-repo/semantics/conferencePaper |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arXiv.2306.08106 |
| locations[2].id | doi:10.48550/arxiv.2306.08106 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400194 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | True |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | arXiv (Cornell University) |
| locations[2].source.host_organization | https://openalex.org/I205783295 |
| locations[2].source.host_organization_name | Cornell University |
| locations[2].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://doi.org/10.48550/arxiv.2306.08106 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5065215795 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-6965-8642 |
| authorships[0].author.display_name | Manan Agarwal |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Agarwal, Manan |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5037043480 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-4773-2316 |
| authorships[1].author.display_name | Jay Alameda |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Alameda, Jay |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5059188355 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-4371-3460 |
| authorships[2].author.display_name | Jeroen Audenaert |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Audenaert, Jeroen |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5114149607 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Will Benoit |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Benoit, Will |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5076543665 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Damon Beveridge |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Beveridge, Damon |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5089891065 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-6395-546X |
| authorships[5].author.display_name | Meghna Bhattacharya |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Bhattacharya, Meghna |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5003646086 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-8700-3455 |
| authorships[6].author.display_name | C. Chatterjee |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Chatterjee, Chayan |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5064385027 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-0038-5468 |
| authorships[7].author.display_name | Deep Chatterjee |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Chatterjee, Deep |
| authorships[7].is_corresponding | False |
| authorships[8].author.id | https://openalex.org/A5101500418 |
| authorships[8].author.orcid | https://orcid.org/0009-0001-4153-1954 |
| authorships[8].author.display_name | Andy Chen |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Chen, Andy |
| authorships[8].is_corresponding | False |
| authorships[9].author.id | https://openalex.org/A5108067403 |
| authorships[9].author.orcid | https://orcid.org/0000-0002-3836-7751 |
| authorships[9].author.display_name | M. Saleem |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Cholayil, Muhammed Saleem |
| authorships[9].is_corresponding | False |
| authorships[10].author.id | https://openalex.org/A5112938959 |
| authorships[10].author.orcid | |
| authorships[10].author.display_name | Chia-Jui Chou |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Chou, Chia-Jui |
| authorships[10].is_corresponding | False |
| authorships[11].author.id | https://openalex.org/A5113253446 |
| authorships[11].author.orcid | |
| authorships[11].author.display_name | Sunil Choudhary |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Choudhary, Sunil |
| authorships[11].is_corresponding | False |
| authorships[12].author.id | https://openalex.org/A5069235173 |
| authorships[12].author.orcid | https://orcid.org/0000-0002-8262-2924 |
| authorships[12].author.display_name | M. W. Coughlin |
| authorships[12].author_position | middle |
| authorships[12].raw_author_name | Coughlin, Michael |
| authorships[12].is_corresponding | False |
| authorships[13].author.id | https://openalex.org/A5004309436 |
| authorships[13].author.orcid | https://orcid.org/0000-0001-8798-0627 |
| authorships[13].author.display_name | Maximilian Dax |
| authorships[13].author_position | middle |
| authorships[13].raw_author_name | Dax, Maximilian |
| authorships[13].is_corresponding | False |
| authorships[14].author.id | https://openalex.org/A5053494390 |
| authorships[14].author.orcid | |
| authorships[14].author.display_name | Aman A. Desai |
| authorships[14].author_position | middle |
| authorships[14].raw_author_name | Desai, Aman |
| authorships[14].is_corresponding | False |
| authorships[15].author.id | https://openalex.org/A5114374671 |
| authorships[15].author.orcid | https://orcid.org/0000-0002-9074-2133 |
| authorships[15].author.display_name | A. Di Luca |
| authorships[15].author_position | middle |
| authorships[15].raw_author_name | Di Luca, Andrea |
| authorships[15].is_corresponding | False |
| authorships[16].author.id | https://openalex.org/A5100747243 |
| authorships[16].author.orcid | https://orcid.org/0000-0002-5076-7096 |
| authorships[16].author.display_name | J. Duarte |
| authorships[16].author_position | middle |
| authorships[16].raw_author_name | Duarte, Javier Mauricio |
| authorships[16].is_corresponding | False |
| authorships[17].author.id | https://openalex.org/A5081549062 |
| authorships[17].author.orcid | https://orcid.org/0000-0003-1854-4113 |
| authorships[17].author.display_name | Steven Farrell |
| authorships[17].author_position | middle |
| authorships[17].raw_author_name | Farrell, Steven |
| authorships[17].is_corresponding | False |
| authorships[18].author.id | https://openalex.org/A5107916301 |
| authorships[18].author.orcid | |
| authorships[18].author.display_name | Yongbin Feng |
| authorships[18].author_position | middle |
| authorships[18].raw_author_name | Feng, Yongbin |
| authorships[18].is_corresponding | False |
| authorships[19].author.id | https://openalex.org/A5092188949 |
| authorships[19].author.orcid | https://orcid.org/0009-0008-1093-6706 |
| authorships[19].author.display_name | P. Goodarzi |
| authorships[19].author_position | middle |
| authorships[19].raw_author_name | Goodarzi, Pooyan |
| authorships[19].is_corresponding | False |
| authorships[20].author.id | https://openalex.org/A5055083217 |
| authorships[20].author.orcid | |
| authorships[20].author.display_name | Ekaterina Govorkova |
| authorships[20].author_position | middle |
| authorships[20].raw_author_name | Govorkova, Ekaterina |
| authorships[20].is_corresponding | False |
| authorships[21].author.id | https://openalex.org/A5036482894 |
| authorships[21].author.orcid | https://orcid.org/0000-0002-3168-0139 |
| authorships[21].author.display_name | M. J. Graham |
| authorships[21].author_position | middle |
| authorships[21].raw_author_name | Graham, Matthew |
| authorships[21].is_corresponding | False |
| authorships[22].author.id | https://openalex.org/A5104130686 |
| authorships[22].author.orcid | |
| authorships[22].author.display_name | Jonathan Guiang |
| authorships[22].author_position | middle |
| authorships[22].raw_author_name | Guiang, Jonathan |
| authorships[22].is_corresponding | False |
| authorships[23].author.id | https://openalex.org/A5104582173 |
| authorships[23].author.orcid | |
| authorships[23].author.display_name | Alec Gunny |
| authorships[23].author_position | middle |
| authorships[23].raw_author_name | Gunny, Alec |
| authorships[23].is_corresponding | False |
| authorships[24].author.id | https://openalex.org/A5003509345 |
| authorships[24].author.orcid | https://orcid.org/0000-0002-4320-4420 |
| authorships[24].author.display_name | W. Guo |
| authorships[24].author_position | middle |
| authorships[24].raw_author_name | Guo, Weichangfeng |
| authorships[24].is_corresponding | False |
| authorships[25].author.id | https://openalex.org/A5002103112 |
| authorships[25].author.orcid | |
| authorships[25].author.display_name | J. Hakenmueller |
| authorships[25].author_position | middle |
| authorships[25].raw_author_name | Hakenmueller, Janina |
| authorships[25].is_corresponding | False |
| authorships[26].author.id | https://openalex.org/A5056558122 |
| authorships[26].author.orcid | https://orcid.org/0000-0001-5700-0288 |
| authorships[26].author.display_name | Benjamin Hawks |
| authorships[26].author_position | middle |
| authorships[26].raw_author_name | Hawks, Ben |
| authorships[26].is_corresponding | False |
| authorships[27].author.id | https://openalex.org/A5105676474 |
| authorships[27].author.orcid | https://orcid.org/0000-0001-6214-8500 |
| authorships[27].author.display_name | S.‐C. Hsu |
| authorships[27].author_position | middle |
| authorships[27].raw_author_name | Hsu, Shih-Chieh |
| authorships[27].is_corresponding | False |
| authorships[28].author.id | https://openalex.org/A5001977601 |
| authorships[28].author.orcid | https://orcid.org/0000-0003-2501-249X |
| authorships[28].author.display_name | Pratik Jawahar |
| authorships[28].author_position | middle |
| authorships[28].raw_author_name | Jawahar, Pratik |
| authorships[28].is_corresponding | False |
| authorships[29].author.id | https://openalex.org/A5030716890 |
| authorships[29].author.orcid | https://orcid.org/0000-0002-9745-1638 |
| authorships[29].author.display_name | X. Ju |
| authorships[29].author_position | middle |
| authorships[29].raw_author_name | Ju, Xiangyang |
| authorships[29].is_corresponding | False |
| authorships[30].author.id | https://openalex.org/A5107429648 |
| authorships[30].author.orcid | https://orcid.org/0000-0001-6550-3045 |
| authorships[30].author.display_name | E. Katsavounidis |
| authorships[30].author_position | middle |
| authorships[30].raw_author_name | Katsavounidis, Erik |
| authorships[30].is_corresponding | False |
| authorships[31].author.id | https://openalex.org/A5089977648 |
| authorships[31].author.orcid | https://orcid.org/0000-0001-7113-9630 |
| authorships[31].author.display_name | Manolis Kellis |
| authorships[31].author_position | middle |
| authorships[31].raw_author_name | Kellis, Manolis |
| authorships[31].is_corresponding | False |
| authorships[32].author.id | https://openalex.org/A5101881065 |
| authorships[32].author.orcid | https://orcid.org/0000-0002-8340-9455 |
| authorships[32].author.display_name | E. E. Khoda |
| authorships[32].author_position | middle |
| authorships[32].raw_author_name | Khoda, Elham E |
| authorships[32].is_corresponding | False |
| authorships[33].author.id | https://openalex.org/A5092188950 |
| authorships[33].author.orcid | |
| authorships[33].author.display_name | Fatima Zahra Lahbabi |
| authorships[33].author_position | middle |
| authorships[33].raw_author_name | Lahbabi, Fatima Zahra |
| authorships[33].is_corresponding | False |
| authorships[34].author.id | https://openalex.org/A5092188951 |
| authorships[34].author.orcid | |
| authorships[34].author.display_name | Van Tha Bik Lian |
| authorships[34].author_position | middle |
| authorships[34].raw_author_name | Lian, Van Tha Bik |
| authorships[34].is_corresponding | False |
| authorships[35].author.id | https://openalex.org/A5053687303 |
| authorships[35].author.orcid | |
| authorships[35].author.display_name | Mia Liu |
| authorships[35].author_position | middle |
| authorships[35].raw_author_name | Liu, Mia |
| authorships[35].is_corresponding | False |
| authorships[36].author.id | https://openalex.org/A5053452496 |
| authorships[36].author.orcid | https://orcid.org/0000-0001-7179-7406 |
| authorships[36].author.display_name | Konstantin Malanchev |
| authorships[36].author_position | middle |
| authorships[36].raw_author_name | Malanchev, Konstantin |
| authorships[36].is_corresponding | False |
| authorships[37].author.id | https://openalex.org/A5107073875 |
| authorships[37].author.orcid | https://orcid.org/0009-0000-4183-7876 |
| authorships[37].author.display_name | Ethan Marx |
| authorships[37].author_position | middle |
| authorships[37].raw_author_name | Marx, Ethan |
| authorships[37].is_corresponding | False |
| authorships[38].author.id | https://openalex.org/A5108166962 |
| authorships[38].author.orcid | https://orcid.org/0000-0002-0768-1959 |
| authorships[38].author.display_name | W. P. McCormack |
| authorships[38].author_position | middle |
| authorships[38].raw_author_name | McCormack, William Patrick |
| authorships[38].is_corresponding | False |
| authorships[39].author.id | https://openalex.org/A5037960633 |
| authorships[39].author.orcid | |
| authorships[39].author.display_name | Alistair McLeod |
| authorships[39].author_position | middle |
| authorships[39].raw_author_name | McLeod, Alistair |
| authorships[39].is_corresponding | False |
| authorships[40].author.id | https://openalex.org/A5010893576 |
| authorships[40].author.orcid | https://orcid.org/0000-0001-6331-112X |
| authorships[40].author.display_name | Geoffrey Mo |
| authorships[40].author_position | middle |
| authorships[40].raw_author_name | Mo, Geoffrey |
| authorships[40].is_corresponding | False |
| authorships[41].author.id | https://openalex.org/A5083142327 |
| authorships[41].author.orcid | https://orcid.org/0000-0001-5666-3637 |
| authorships[41].author.display_name | Eric Moreno |
| authorships[41].author_position | middle |
| authorships[41].raw_author_name | Moreno, Eric Anton |
| authorships[41].is_corresponding | False |
| authorships[42].author.id | https://openalex.org/A5072576687 |
| authorships[42].author.orcid | https://orcid.org/0000-0002-5788-9280 |
| authorships[42].author.display_name | Daniel Muthukrishna |
| authorships[42].author_position | middle |
| authorships[42].raw_author_name | Muthukrishna, Daniel |
| authorships[42].is_corresponding | False |
| authorships[43].author.id | https://openalex.org/A5003296263 |
| authorships[43].author.orcid | https://orcid.org/0000-0001-6022-0484 |
| authorships[43].author.display_name | Gautham Narayan |
| authorships[43].author_position | middle |
| authorships[43].raw_author_name | Narayan, Gautham |
| authorships[43].is_corresponding | False |
| authorships[44].author.id | https://openalex.org/A5107771405 |
| authorships[44].author.orcid | https://orcid.org/0000-0002-4757-2802 |
| authorships[44].author.display_name | A. Naylor |
| authorships[44].author_position | middle |
| authorships[44].raw_author_name | Naylor, Andrew |
| authorships[44].is_corresponding | False |
| authorships[45].author.id | https://openalex.org/A5114374383 |
| authorships[45].author.orcid | https://orcid.org/0000-0001-8434-9274 |
| authorships[45].author.display_name | M. S. Neubauer |
| authorships[45].author_position | middle |
| authorships[45].raw_author_name | Neubauer, Mark |
| authorships[45].is_corresponding | False |
| authorships[46].author.id | https://openalex.org/A5062028092 |
| authorships[46].author.orcid | https://orcid.org/0000-0002-6622-8513 |
| authorships[46].author.display_name | Michael L. Norman |
| authorships[46].author_position | middle |
| authorships[46].raw_author_name | Norman, Michael |
| authorships[46].is_corresponding | False |
| authorships[47].author.id | https://openalex.org/A5092188952 |
| authorships[47].author.orcid | |
| authorships[47].author.display_name | Rafia Omer |
| authorships[47].author_position | middle |
| authorships[47].raw_author_name | Omer, Rafia |
| authorships[47].is_corresponding | False |
| authorships[48].author.id | https://openalex.org/A5108043839 |
| authorships[48].author.orcid | https://orcid.org/0000-0003-2260-9151 |
| authorships[48].author.display_name | K. Pedro |
| authorships[48].author_position | middle |
| authorships[48].raw_author_name | Pedro, Kevin |
| authorships[48].is_corresponding | False |
| authorships[49].author.id | https://openalex.org/A5047380888 |
| authorships[49].author.orcid | https://orcid.org/0000-0001-6713-1353 |
| authorships[49].author.display_name | Joshua C. Peterson |
| authorships[49].author_position | middle |
| authorships[49].raw_author_name | Peterson, Joshua |
| authorships[49].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2306.08106 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Applications of Deep Learning to physics workflows |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T13650 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9749000072479248 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Computational Physics and Python Applications |
| related_works | https://openalex.org/W2137567370, https://openalex.org/W1988690899, https://openalex.org/W4244478748, https://openalex.org/W2282045800, https://openalex.org/W1828767204, https://openalex.org/W2443879470, https://openalex.org/W4317103709, https://openalex.org/W2496633390, https://openalex.org/W2119349739, https://openalex.org/W1981780420 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 3 |
| best_oa_location.id | pmh:oai:arXiv.org:2306.08106 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2306.08106 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2306.08106 |
| primary_location.id | pmh:oai:arXiv.org:2306.08106 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2306.08106 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2306.08106 |
| publication_date | 2023-06-13 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.In | 88 |
| abstract_inverted_index.ML | 99, 123 |
| abstract_inverted_index.as | 19, 84 |
| abstract_inverted_index.at | 100 |
| abstract_inverted_index.be | 74 |
| abstract_inverted_index.in | 38 |
| abstract_inverted_index.of | 67, 91, 134, 153 |
| abstract_inverted_index.on | 81 |
| abstract_inverted_index.or | 49, 86 |
| abstract_inverted_index.to | 54, 115, 121 |
| abstract_inverted_index.MIT | 93, 101 |
| abstract_inverted_index.Not | 58 |
| abstract_inverted_index.The | 128 |
| abstract_inverted_index.and | 8, 22, 33, 42, 112, 117, 136, 143 |
| abstract_inverted_index.but | 70 |
| abstract_inverted_index.can | 12, 46, 60, 72 |
| abstract_inverted_index.for | 149 |
| abstract_inverted_index.run | 80 |
| abstract_inverted_index.the | 64, 89, 95, 145, 150, 154 |
| abstract_inverted_index.(AI) | 45 |
| abstract_inverted_index.(ML) | 41 |
| abstract_inverted_index.GPUs | 85 |
| abstract_inverted_index.both | 29 |
| abstract_inverted_index.from | 15, 107 |
| abstract_inverted_index.into | 125 |
| abstract_inverted_index.more | 76 |
| abstract_inverted_index.only | 59 |
| abstract_inverted_index.such | 18, 83 |
| abstract_inverted_index.that | 11 |
| abstract_inverted_index.they | 71 |
| abstract_inverted_index.this | 141 |
| abstract_inverted_index.when | 79 |
| abstract_inverted_index.with | 6, 98 |
| abstract_inverted_index.2023, | 92 |
| abstract_inverted_index.Cloud | 21 |
| abstract_inverted_index.Fully | 24 |
| abstract_inverted_index.needs | 148 |
| abstract_inverted_index.often | 73 |
| abstract_inverted_index.paper | 131 |
| abstract_inverted_index.power | 32 |
| abstract_inverted_index.rates | 10 |
| abstract_inverted_index.share | 118 |
| abstract_inverted_index.sizes | 7 |
| abstract_inverted_index.their | 126 |
| abstract_inverted_index.these | 26, 61 |
| abstract_inverted_index.those | 14 |
| abstract_inverted_index.tools | 124 |
| abstract_inverted_index.which | 103 |
| abstract_inverted_index.white | 130 |
| abstract_inverted_index.FPGAs. | 87 |
| abstract_inverted_index.Google | 20 |
| abstract_inverted_index.Modern | 0 |
| abstract_inverted_index.Recent | 36 |
| abstract_inverted_index.create | 4 |
| abstract_inverted_index.during | 140 |
| abstract_inverted_index.either | 47 |
| abstract_inverted_index.exceed | 13 |
| abstract_inverted_index.future | 152 |
| abstract_inverted_index.hosted | 94 |
| abstract_inverted_index.winter | 90 |
| abstract_inverted_index.Machine | 39 |
| abstract_inverted_index.Physics | 97 |
| abstract_inverted_index.brought | 104 |
| abstract_inverted_index.compute | 31 |
| abstract_inverted_index.current | 68, 119 |
| abstract_inverted_index.discuss | 116 |
| abstract_inverted_index.efforts | 120 |
| abstract_inverted_index.fields. | 156 |
| abstract_inverted_index.improve | 48, 63 |
| abstract_inverted_index.leaders | 17 |
| abstract_inverted_index.physics | 2, 65, 114 |
| abstract_inverted_index.replace | 50 |
| abstract_inverted_index.Learning | 40 |
| abstract_inverted_index.Netflix. | 23 |
| abstract_inverted_index.advances | 37 |
| abstract_inverted_index.datasets | 5, 27 |
| abstract_inverted_index.examples | 133 |
| abstract_inverted_index.executed | 75 |
| abstract_inverted_index.existing | 51 |
| abstract_inverted_index.expected | 146 |
| abstract_inverted_index.increase | 55 |
| abstract_inverted_index.industry | 16 |
| abstract_inverted_index.involved | 155 |
| abstract_inverted_index.particle | 113 |
| abstract_inverted_index.physics, | 109 |
| abstract_inverted_index.quickly, | 77 |
| abstract_inverted_index.requires | 28 |
| abstract_inverted_index.together | 105 |
| abstract_inverted_index.workflow | 56 |
| abstract_inverted_index.workshop | 142 |
| abstract_inverted_index.computing | 137, 147 |
| abstract_inverted_index.discussed | 139 |
| abstract_inverted_index.efficient | 34 |
| abstract_inverted_index.following | 129 |
| abstract_inverted_index.immediate | 151 |
| abstract_inverted_index.integrate | 122 |
| abstract_inverted_index.streaming | 9 |
| abstract_inverted_index.workshop, | 102 |
| abstract_inverted_index.Artificial | 43 |
| abstract_inverted_index.algorithms | 53, 62, 135 |
| abstract_inverted_index.especially | 78 |
| abstract_inverted_index.frameworks | 138 |
| abstract_inverted_index.highlights | 132 |
| abstract_inverted_index.processing | 25 |
| abstract_inverted_index.sufficient | 30 |
| abstract_inverted_index.summarizes | 144 |
| abstract_inverted_index.workflows. | 35, 127 |
| abstract_inverted_index.algorithms, | 69 |
| abstract_inverted_index.efficiency. | 57 |
| abstract_inverted_index.experiments | 3 |
| abstract_inverted_index.large-scale | 1 |
| abstract_inverted_index.performance | 66 |
| abstract_inverted_index.researchers | 106 |
| abstract_inverted_index.Accelerating | 96 |
| abstract_inverted_index.Intelligence | 44 |
| abstract_inverted_index.coprocessors | 82 |
| abstract_inverted_index.astrophysics, | 111 |
| abstract_inverted_index.domain-specific | 52 |
| abstract_inverted_index.multi-messenger | 110 |
| abstract_inverted_index.gravitational-wave | 108 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 68 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6100000143051147 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile |