Dynamic Resonant Fusion: A Hypothesis Emerged from a Thinking AI Model Article Swipe
Molchanova, Olena
,
Co-developed reasoning framework between human cognition and an AI-based cognitive partner
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.17818535
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.17818535
This document presents a speculative but rigorously structured physical hypothesis developed through the reasoning process of an AI model specifically trained for reflective thinking rather than standard pattern prediction. The resulting framework — Dynamic Resonant Fusion (DRF) — emerges not from a predefined physical theory but from an iterative internal reasoning process, where the model attempts to construct a coherent explanation for stable, energy-positive nuclear fusion based on the latest scientific results. These reflections explore whether stable fusion might require not only confinement and temperature, but a coordinating field, emerging from interactions between coherence, resonance, and adaptive deformation. The AI develops this idea into a mathematical structure containing: • a proposed tensor field formalism • an action functional and Lagrangian decomposition • connections to information geometry • potential links to known areas of physics (QFT, plasma stability, entropy flows) • experimentally testable predictions • outlines for future engineering applications While DRF is not claimed as a physical discovery, it represents a novel form of AI-generated scientific hypothesis:not a statistical remix of known theories, but a structured attempt at theoretical invention grounded in physics adjacent research. This document is intended for researchers interested in: • AI-augmented scientific creativity, • generative theoretical frameworks, • fusion research beyond traditional confinement paradigms, • emerging intersections of information geometry and physical fields. The work highlights that when an AI system is trained to think (not merely to autocomplete), it begins to produce hypotheses with internal structure, testable predictions, and cross-domain consistency — characteristics typically associated with early-stage theoretical physics.
Related Topics
Concepts
Generative grammar
Computer science
Artificial intelligence
Construct (python library)
Cognitive science
Process (computing)
Field (mathematics)
Sensor fusion
Consistency (knowledge bases)
Physical system
Formalism (music)
Entropy (arrow of time)
Perspective (graphical)
Action (physics)
Generative model
Physical science
Iterative and incremental development
Statistical mechanics
Information theory
Epistemology
Bridging (networking)
Set (abstract data type)
Divergence (linguistics)
Arrow of time
Mathematical structure
Thought experiment
Data science
Visualization
Knowledge representation and reasoning
Scientific modelling
Metadata
- Type
- book
- Landing Page
- https://doi.org/10.5281/zenodo.17818535
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7108617152
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7108617152Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.17818535Digital Object Identifier
- Title
-
Dynamic Resonant Fusion: A Hypothesis Emerged from a Thinking AI ModelWork title
- Type
-
bookOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-04Full publication date if available
- Authors
-
Molchanova, Olena, Co-developed reasoning framework between human cognition and an AI-based cognitive partnerList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.17818535Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.17818535Direct OA link when available
- Concepts
-
Generative grammar, Computer science, Artificial intelligence, Construct (python library), Cognitive science, Process (computing), Field (mathematics), Sensor fusion, Consistency (knowledge bases), Physical system, Formalism (music), Entropy (arrow of time), Perspective (graphical), Action (physics), Generative model, Physical science, Iterative and incremental development, Statistical mechanics, Information theory, Epistemology, Bridging (networking), Set (abstract data type), Divergence (linguistics), Arrow of time, Mathematical structure, Thought experiment, Data science, Visualization, Knowledge representation and reasoning, Scientific modellingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W7108617152 |
|---|---|
| doi | https://doi.org/10.5281/zenodo.17818535 |
| ids.doi | https://doi.org/10.5281/zenodo.17818535 |
| ids.openalex | https://openalex.org/W7108617152 |
| fwci | 0.0 |
| type | book |
| title | Dynamic Resonant Fusion: A Hypothesis Emerged from a Thinking AI Model |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T13209 |
| topics[0].field.id | https://openalex.org/fields/19 |
| topics[0].field.display_name | Earth and Planetary Sciences |
| topics[0].score | 0.42518213391304016 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1906 |
| topics[0].subfield.display_name | Geochemistry and Petrology |
| topics[0].display_name | Cold Fusion and Nuclear Reactions |
| topics[1].id | https://openalex.org/T13769 |
| topics[1].field.id | https://openalex.org/fields/31 |
| topics[1].field.display_name | Physics and Astronomy |
| topics[1].score | 0.10162397474050522 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3109 |
| topics[1].subfield.display_name | Statistical and Nonlinear Physics |
| topics[1].display_name | Fusion and Plasma Physics Studies |
| topics[2].id | https://openalex.org/T12261 |
| topics[2].field.id | https://openalex.org/fields/31 |
| topics[2].field.display_name | Physics and Astronomy |
| topics[2].score | 0.03796830773353577 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/3109 |
| topics[2].subfield.display_name | Statistical and Nonlinear Physics |
| topics[2].display_name | Statistical Mechanics and Entropy |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C39890363 |
| concepts[0].level | 2 |
| concepts[0].score | 0.502053439617157 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q36108 |
| concepts[0].display_name | Generative grammar |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.5004818439483643 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C154945302 |
| concepts[2].level | 1 |
| concepts[2].score | 0.47307226061820984 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[2].display_name | Artificial intelligence |
| concepts[3].id | https://openalex.org/C2780801425 |
| concepts[3].level | 2 |
| concepts[3].score | 0.46737605333328247 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q5164392 |
| concepts[3].display_name | Construct (python library) |
| concepts[4].id | https://openalex.org/C188147891 |
| concepts[4].level | 1 |
| concepts[4].score | 0.41903096437454224 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q147638 |
| concepts[4].display_name | Cognitive science |
| concepts[5].id | https://openalex.org/C98045186 |
| concepts[5].level | 2 |
| concepts[5].score | 0.39676588773727417 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q205663 |
| concepts[5].display_name | Process (computing) |
| concepts[6].id | https://openalex.org/C9652623 |
| concepts[6].level | 2 |
| concepts[6].score | 0.38665327429771423 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q190109 |
| concepts[6].display_name | Field (mathematics) |
| concepts[7].id | https://openalex.org/C33954974 |
| concepts[7].level | 2 |
| concepts[7].score | 0.36646899580955505 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q486494 |
| concepts[7].display_name | Sensor fusion |
| concepts[8].id | https://openalex.org/C2776436953 |
| concepts[8].level | 2 |
| concepts[8].score | 0.35822680592536926 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q5163215 |
| concepts[8].display_name | Consistency (knowledge bases) |
| concepts[9].id | https://openalex.org/C116672817 |
| concepts[9].level | 2 |
| concepts[9].score | 0.3514161705970764 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1454986 |
| concepts[9].display_name | Physical system |
| concepts[10].id | https://openalex.org/C73301696 |
| concepts[10].level | 3 |
| concepts[10].score | 0.34830331802368164 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q5469984 |
| concepts[10].display_name | Formalism (music) |
| concepts[11].id | https://openalex.org/C106301342 |
| concepts[11].level | 2 |
| concepts[11].score | 0.34095945954322815 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q4117933 |
| concepts[11].display_name | Entropy (arrow of time) |
| concepts[12].id | https://openalex.org/C12713177 |
| concepts[12].level | 2 |
| concepts[12].score | 0.3393470346927643 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1900281 |
| concepts[12].display_name | Perspective (graphical) |
| concepts[13].id | https://openalex.org/C2780791683 |
| concepts[13].level | 2 |
| concepts[13].score | 0.3177529573440552 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q846785 |
| concepts[13].display_name | Action (physics) |
| concepts[14].id | https://openalex.org/C167966045 |
| concepts[14].level | 3 |
| concepts[14].score | 0.31710612773895264 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q5532625 |
| concepts[14].display_name | Generative model |
| concepts[15].id | https://openalex.org/C6314898 |
| concepts[15].level | 2 |
| concepts[15].score | 0.3061971962451935 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q14632398 |
| concepts[15].display_name | Physical science |
| concepts[16].id | https://openalex.org/C143587482 |
| concepts[16].level | 2 |
| concepts[16].score | 0.29343852400779724 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q1543216 |
| concepts[16].display_name | Iterative and incremental development |
| concepts[17].id | https://openalex.org/C99874945 |
| concepts[17].level | 2 |
| concepts[17].score | 0.29020798206329346 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q188715 |
| concepts[17].display_name | Statistical mechanics |
| concepts[18].id | https://openalex.org/C52622258 |
| concepts[18].level | 2 |
| concepts[18].score | 0.2835334539413452 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q131222 |
| concepts[18].display_name | Information theory |
| concepts[19].id | https://openalex.org/C111472728 |
| concepts[19].level | 1 |
| concepts[19].score | 0.2827191650867462 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[19].display_name | Epistemology |
| concepts[20].id | https://openalex.org/C174348530 |
| concepts[20].level | 2 |
| concepts[20].score | 0.2751050591468811 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q188635 |
| concepts[20].display_name | Bridging (networking) |
| concepts[21].id | https://openalex.org/C177264268 |
| concepts[21].level | 2 |
| concepts[21].score | 0.2748919725418091 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[21].display_name | Set (abstract data type) |
| concepts[22].id | https://openalex.org/C207390915 |
| concepts[22].level | 2 |
| concepts[22].score | 0.27328670024871826 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q1230525 |
| concepts[22].display_name | Divergence (linguistics) |
| concepts[23].id | https://openalex.org/C14828074 |
| concepts[23].level | 3 |
| concepts[23].score | 0.26897844672203064 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q186559 |
| concepts[23].display_name | Arrow of time |
| concepts[24].id | https://openalex.org/C130327152 |
| concepts[24].level | 2 |
| concepts[24].score | 0.2678455412387848 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q748349 |
| concepts[24].display_name | Mathematical structure |
| concepts[25].id | https://openalex.org/C29554801 |
| concepts[25].level | 2 |
| concepts[25].score | 0.26723793148994446 |
| concepts[25].wikidata | https://www.wikidata.org/wiki/Q147027 |
| concepts[25].display_name | Thought experiment |
| concepts[26].id | https://openalex.org/C2522767166 |
| concepts[26].level | 1 |
| concepts[26].score | 0.2659481167793274 |
| concepts[26].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[26].display_name | Data science |
| concepts[27].id | https://openalex.org/C36464697 |
| concepts[27].level | 2 |
| concepts[27].score | 0.2583548128604889 |
| concepts[27].wikidata | https://www.wikidata.org/wiki/Q451553 |
| concepts[27].display_name | Visualization |
| concepts[28].id | https://openalex.org/C161301231 |
| concepts[28].level | 2 |
| concepts[28].score | 0.25605055689811707 |
| concepts[28].wikidata | https://www.wikidata.org/wiki/Q3478658 |
| concepts[28].display_name | Knowledge representation and reasoning |
| concepts[29].id | https://openalex.org/C138379479 |
| concepts[29].level | 2 |
| concepts[29].score | 0.25501665472984314 |
| concepts[29].wikidata | https://www.wikidata.org/wiki/Q1116876 |
| concepts[29].display_name | Scientific modelling |
| keywords[0].id | https://openalex.org/keywords/generative-grammar |
| keywords[0].score | 0.502053439617157 |
| keywords[0].display_name | Generative grammar |
| keywords[1].id | https://openalex.org/keywords/construct |
| keywords[1].score | 0.46737605333328247 |
| keywords[1].display_name | Construct (python library) |
| keywords[2].id | https://openalex.org/keywords/process |
| keywords[2].score | 0.39676588773727417 |
| keywords[2].display_name | Process (computing) |
| keywords[3].id | https://openalex.org/keywords/field |
| keywords[3].score | 0.38665327429771423 |
| keywords[3].display_name | Field (mathematics) |
| keywords[4].id | https://openalex.org/keywords/sensor-fusion |
| keywords[4].score | 0.36646899580955505 |
| keywords[4].display_name | Sensor fusion |
| keywords[5].id | https://openalex.org/keywords/consistency |
| keywords[5].score | 0.35822680592536926 |
| keywords[5].display_name | Consistency (knowledge bases) |
| keywords[6].id | https://openalex.org/keywords/physical-system |
| keywords[6].score | 0.3514161705970764 |
| keywords[6].display_name | Physical system |
| keywords[7].id | https://openalex.org/keywords/formalism |
| keywords[7].score | 0.34830331802368164 |
| keywords[7].display_name | Formalism (music) |
| keywords[8].id | https://openalex.org/keywords/entropy |
| keywords[8].score | 0.34095945954322815 |
| keywords[8].display_name | Entropy (arrow of time) |
| language | |
| locations[0].id | doi:10.5281/zenodo.17818535 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400562 |
| 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 | Zenodo (CERN European Organization for Nuclear Research) |
| locations[0].source.host_organization | https://openalex.org/I67311998 |
| locations[0].source.host_organization_name | European Organization for Nuclear Research |
| locations[0].source.host_organization_lineage | https://openalex.org/I67311998 |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | |
| locations[0].raw_type | article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | False |
| locations[0].is_published | |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.5281/zenodo.17818535 |
| indexed_in | datacite |
| authorships[0].author.id | |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Molchanova, Olena |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Molchanova, Olena |
| authorships[0].is_corresponding | True |
| authorships[1].author.id | |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Co-developed reasoning framework between human cognition and an AI-based cognitive partner |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Co-developed reasoning framework between human cognition and an AI-based cognitive partner |
| authorships[1].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://doi.org/10.5281/zenodo.17818535 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-12-05T00:00:00 |
| display_name | Dynamic Resonant Fusion: A Hypothesis Emerged from a Thinking AI Model |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-12-05T23:25:22.460635 |
| primary_topic.id | https://openalex.org/T13209 |
| primary_topic.field.id | https://openalex.org/fields/19 |
| primary_topic.field.display_name | Earth and Planetary Sciences |
| primary_topic.score | 0.42518213391304016 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1906 |
| primary_topic.subfield.display_name | Geochemistry and Petrology |
| primary_topic.display_name | Cold Fusion and Nuclear Reactions |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.5281/zenodo.17818535 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400562 |
| 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 | Zenodo (CERN European Organization for Nuclear Research) |
| best_oa_location.source.host_organization | https://openalex.org/I67311998 |
| best_oa_location.source.host_organization_name | European Organization for Nuclear Research |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | |
| best_oa_location.raw_type | article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.5281/zenodo.17818535 |
| primary_location.id | doi:10.5281/zenodo.17818535 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400562 |
| 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 | Zenodo (CERN European Organization for Nuclear Research) |
| primary_location.source.host_organization | https://openalex.org/I67311998 |
| primary_location.source.host_organization_name | European Organization for Nuclear Research |
| primary_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | |
| primary_location.raw_type | article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.5281/zenodo.17818535 |
| publication_date | 2025-12-04 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 3, 41, 58, 86, 104, 109, 155, 160, 167, 174 |
| abstract_inverted_index.AI | 17, 99, 223 |
| abstract_inverted_index.an | 16, 47, 115, 222 |
| abstract_inverted_index.as | 154 |
| abstract_inverted_index.at | 177 |
| abstract_inverted_index.in | 181 |
| abstract_inverted_index.is | 151, 187, 225 |
| abstract_inverted_index.it | 158, 233 |
| abstract_inverted_index.of | 15, 132, 163, 170, 211 |
| abstract_inverted_index.on | 67 |
| abstract_inverted_index.to | 56, 123, 129, 227, 231, 235 |
| abstract_inverted_index.DRF | 150 |
| abstract_inverted_index.The | 29, 98, 217 |
| abstract_inverted_index.and | 83, 95, 118, 214, 243 |
| abstract_inverted_index.but | 5, 45, 85, 173 |
| abstract_inverted_index.for | 21, 61, 145, 189 |
| abstract_inverted_index.in: | 192 |
| abstract_inverted_index.not | 39, 80, 152 |
| abstract_inverted_index.the | 12, 53, 68 |
| abstract_inverted_index.— | 32, 37, 246 |
| abstract_inverted_index.• | 108, 114, 121, 126, 139, 143, 193, 197, 201, 208 |
| abstract_inverted_index.(not | 229 |
| abstract_inverted_index.This | 0, 185 |
| abstract_inverted_index.form | 162 |
| abstract_inverted_index.from | 40, 46, 90 |
| abstract_inverted_index.idea | 102 |
| abstract_inverted_index.into | 103 |
| abstract_inverted_index.only | 81 |
| abstract_inverted_index.than | 25 |
| abstract_inverted_index.that | 220 |
| abstract_inverted_index.this | 101 |
| abstract_inverted_index.when | 221 |
| abstract_inverted_index.with | 238, 250 |
| abstract_inverted_index.work | 218 |
| abstract_inverted_index.(DRF) | 36 |
| abstract_inverted_index.(QFT, | 134 |
| abstract_inverted_index.These | 72 |
| abstract_inverted_index.While | 149 |
| abstract_inverted_index.areas | 131 |
| abstract_inverted_index.based | 66 |
| abstract_inverted_index.field | 112 |
| abstract_inverted_index.known | 130, 171 |
| abstract_inverted_index.links | 128 |
| abstract_inverted_index.might | 78 |
| abstract_inverted_index.model | 18, 54 |
| abstract_inverted_index.novel | 161 |
| abstract_inverted_index.remix | 169 |
| abstract_inverted_index.think | 228 |
| abstract_inverted_index.where | 52 |
| abstract_inverted_index.Fusion | 35 |
| abstract_inverted_index.action | 116 |
| abstract_inverted_index.begins | 234 |
| abstract_inverted_index.beyond | 204 |
| abstract_inverted_index.field, | 88 |
| abstract_inverted_index.flows) | 138 |
| abstract_inverted_index.fusion | 65, 77, 202 |
| abstract_inverted_index.future | 146 |
| abstract_inverted_index.latest | 69 |
| abstract_inverted_index.merely | 230 |
| abstract_inverted_index.plasma | 135 |
| abstract_inverted_index.rather | 24 |
| abstract_inverted_index.stable | 76 |
| abstract_inverted_index.system | 224 |
| abstract_inverted_index.tensor | 111 |
| abstract_inverted_index.theory | 44 |
| abstract_inverted_index.Dynamic | 33 |
| abstract_inverted_index.attempt | 176 |
| abstract_inverted_index.between | 92 |
| abstract_inverted_index.claimed | 153 |
| abstract_inverted_index.emerges | 38 |
| abstract_inverted_index.entropy | 137 |
| abstract_inverted_index.explore | 74 |
| abstract_inverted_index.fields. | 216 |
| abstract_inverted_index.nuclear | 64 |
| abstract_inverted_index.pattern | 27 |
| abstract_inverted_index.physics | 133, 182 |
| abstract_inverted_index.process | 14 |
| abstract_inverted_index.produce | 236 |
| abstract_inverted_index.require | 79 |
| abstract_inverted_index.stable, | 62 |
| abstract_inverted_index.through | 11 |
| abstract_inverted_index.trained | 20, 226 |
| abstract_inverted_index.whether | 75 |
| abstract_inverted_index.Resonant | 34 |
| abstract_inverted_index.adaptive | 96 |
| abstract_inverted_index.adjacent | 183 |
| abstract_inverted_index.attempts | 55 |
| abstract_inverted_index.coherent | 59 |
| abstract_inverted_index.develops | 100 |
| abstract_inverted_index.document | 1, 186 |
| abstract_inverted_index.emerging | 89, 209 |
| abstract_inverted_index.geometry | 125, 213 |
| abstract_inverted_index.grounded | 180 |
| abstract_inverted_index.intended | 188 |
| abstract_inverted_index.internal | 49, 239 |
| abstract_inverted_index.outlines | 144 |
| abstract_inverted_index.physical | 8, 43, 156, 215 |
| abstract_inverted_index.physics. | 253 |
| abstract_inverted_index.presents | 2 |
| abstract_inverted_index.process, | 51 |
| abstract_inverted_index.proposed | 110 |
| abstract_inverted_index.research | 203 |
| abstract_inverted_index.results. | 71 |
| abstract_inverted_index.standard | 26 |
| abstract_inverted_index.testable | 141, 241 |
| abstract_inverted_index.thinking | 23 |
| abstract_inverted_index.construct | 57 |
| abstract_inverted_index.developed | 10 |
| abstract_inverted_index.formalism | 113 |
| abstract_inverted_index.framework | 31 |
| abstract_inverted_index.invention | 179 |
| abstract_inverted_index.iterative | 48 |
| abstract_inverted_index.potential | 127 |
| abstract_inverted_index.reasoning | 13, 50 |
| abstract_inverted_index.research. | 184 |
| abstract_inverted_index.resulting | 30 |
| abstract_inverted_index.structure | 106 |
| abstract_inverted_index.theories, | 172 |
| abstract_inverted_index.typically | 248 |
| abstract_inverted_index.Lagrangian | 119 |
| abstract_inverted_index.associated | 249 |
| abstract_inverted_index.coherence, | 93 |
| abstract_inverted_index.discovery, | 157 |
| abstract_inverted_index.functional | 117 |
| abstract_inverted_index.generative | 198 |
| abstract_inverted_index.highlights | 219 |
| abstract_inverted_index.hypotheses | 237 |
| abstract_inverted_index.hypothesis | 9 |
| abstract_inverted_index.interested | 191 |
| abstract_inverted_index.paradigms, | 207 |
| abstract_inverted_index.predefined | 42 |
| abstract_inverted_index.reflective | 22 |
| abstract_inverted_index.represents | 159 |
| abstract_inverted_index.resonance, | 94 |
| abstract_inverted_index.rigorously | 6 |
| abstract_inverted_index.scientific | 70, 165, 195 |
| abstract_inverted_index.stability, | 136 |
| abstract_inverted_index.structure, | 240 |
| abstract_inverted_index.structured | 7, 175 |
| abstract_inverted_index.confinement | 82, 206 |
| abstract_inverted_index.connections | 122 |
| abstract_inverted_index.consistency | 245 |
| abstract_inverted_index.containing: | 107 |
| abstract_inverted_index.creativity, | 196 |
| abstract_inverted_index.early-stage | 251 |
| abstract_inverted_index.engineering | 147 |
| abstract_inverted_index.explanation | 60 |
| abstract_inverted_index.frameworks, | 200 |
| abstract_inverted_index.information | 124, 212 |
| abstract_inverted_index.prediction. | 28 |
| abstract_inverted_index.predictions | 142 |
| abstract_inverted_index.reflections | 73 |
| abstract_inverted_index.researchers | 190 |
| abstract_inverted_index.speculative | 4 |
| abstract_inverted_index.statistical | 168 |
| abstract_inverted_index.theoretical | 178, 199, 252 |
| abstract_inverted_index.traditional | 205 |
| abstract_inverted_index.AI-augmented | 194 |
| abstract_inverted_index.AI-generated | 164 |
| abstract_inverted_index.applications | 148 |
| abstract_inverted_index.coordinating | 87 |
| abstract_inverted_index.cross-domain | 244 |
| abstract_inverted_index.deformation. | 97 |
| abstract_inverted_index.interactions | 91 |
| abstract_inverted_index.mathematical | 105 |
| abstract_inverted_index.predictions, | 242 |
| abstract_inverted_index.specifically | 19 |
| abstract_inverted_index.temperature, | 84 |
| abstract_inverted_index.decomposition | 120 |
| abstract_inverted_index.intersections | 210 |
| abstract_inverted_index.autocomplete), | 232 |
| abstract_inverted_index.experimentally | 140 |
| abstract_inverted_index.hypothesis:not | 166 |
| abstract_inverted_index.characteristics | 247 |
| abstract_inverted_index.energy-positive | 63 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.91025641 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |