Roadmap on data-centric materials science Article Swipe

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Sebastian Bauer , Peter Benner , Tristan Bereau , Volker Blüm , Mario Boley , Christian Carbogno , C. Richard A. Catlow , Gerhard Dehm , Sebastian Eibl , Ralph Ernstorfer , Ádám Fekete , Lucas Foppa , Peter Fratzl , Christoph Freysoldt , Baptiste Gault , Luca M. Ghiringhelli , Sajal Kumar Giri , Anton Gladyshev , Pawan Goyal , Jason Hattrick‐Simpers , Lara Kabalan , Petr Karpov , Mohammad S. Khorrami , Christoph T. Koch , Sebastian Kokott , Thomas Kosch , Igor Kowalec , Kurt Kremer , Andreas Leitherer , Yue Li , Christian H. Liebscher , Andrew J. Logsdail , Zhongwei Lu , Phuc Luong , Andreas Marek , F. Merz , Jaber Rezaei Mianroodi , Jörg Neugebauer , Zongrui Pei , Thomas A. R. Purcell , Dierk Raabe , Markus Rampp , Mariana Rossi , Jan M. Rost , James E. Saal , Ulf Saalmann , K.N. Sasidhar , Alaukik Saxena , Luigi Sbailò , Markus Scheidgen , Marcel Schloz , Daniel F. Schmidt , Simon Teshuva , Annette Trunschke , Ye Wei , Gerhard Weikum , R. Patrick Xian , Yiyu Yao , Junqi Yin , Meng Zhao , Matthias Scheffler ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1088/1361-651x/ad4d0d

Science is and always has been based on data, but the terms ‘data-centric’ and the ‘4th paradigm’ of materials research indicate a radical change in how information is retrieved, handled and research is performed. It signifies a transformative shift towards managing vast data collections, digital repositories, and innovative data analytics methods. The integration of artificial intelligence and its subset machine learning, has become pivotal in addressing all these challenges. This Roadmap on Data-Centric Materials Science explores fundamental concepts and methodologies, illustrating diverse applications in electronic-structure theory, soft matter theory, microstructure research, and experimental techniques like photoemission, atom probe tomography, and electron microscopy. While the roadmap delves into specific areas within the broad interdisciplinary field of materials science, the provided examples elucidate key concepts applicable to a wider range of topics. The discussed instances offer insights into addressing the multifaceted challenges encountered in contemporary materials research.

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Materials science Engineering physics Engineering ethics Nanotechnology Systems engineering Engineering

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Type: article
Language: en
Landing Page: https://doi.org/10.1088/1361-651x/ad4d0d
PDF: https://iopscience.iop.org/article/10.1088/1361-651X/ad4d0d/pdf
OA Status: hybrid
Cited By: 16
References: 223
Related Works: 10
OpenAlex ID: https://openalex.org/W4396991528

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DOI: https://doi.org/10.1088/1361-651x/ad4d0d

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Title: Roadmap on data-centric materials science

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Language: en

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Publication year: 2024

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Publication date: 2024-05-17

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Authors: Sebastian Bauer, Peter Benner, Tristan Bereau, Volker Blüm, Mario Boley, Christian Carbogno, C. Richard A. Catlow, Gerhard Dehm, Sebastian Eibl, Ralph Ernstorfer, Ádám Fekete, Lucas Foppa, Peter Fratzl, Christoph Freysoldt, Baptiste Gault, Luca M. Ghiringhelli, Sajal Kumar Giri, Anton Gladyshev, Pawan Goyal, Jason Hattrick‐Simpers, Lara Kabalan, Petr Karpov, Mohammad S. Khorrami, Christoph T. Koch, Sebastian Kokott, Thomas Kosch, Igor Kowalec, Kurt Kremer, Andreas Leitherer, Yue Li, Christian H. Liebscher, Andrew J. Logsdail, Zhongwei Lu, Phuc Luong, Andreas Marek, F. Merz, Jaber Rezaei Mianroodi, Jörg Neugebauer, Zongrui Pei, Thomas A. R. Purcell, Dierk Raabe, Markus Rampp, Mariana Rossi, Jan M. Rost, James E. Saal, Ulf Saalmann, K.N. Sasidhar, Alaukik Saxena, Luigi Sbailò, Markus Scheidgen, Marcel Schloz, Daniel F. Schmidt, Simon Teshuva, Annette Trunschke, Ye Wei, Gerhard Weikum, R. Patrick Xian, Yiyu Yao, Junqi Yin, Meng Zhao, Matthias Scheffler

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Landing page: https://doi.org/10.1088/1361-651x/ad4d0d

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Concepts: Materials science, Engineering physics, Engineering ethics, Nanotechnology, Systems engineering, Engineering

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Cited by: 16

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