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Materials Science 논문 리뷰
Materials Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,071개의 결과
M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery
Yuanqi Du, Yingheng Wang 외 7명
arXiv (Cornell University)
|
2023
|
3 회 인용
Machine learned Force-Fields for an ab-initio Quality Description of Metal-Organic Frameworks
Sandro Wieser, Egbert Zojer
arXiv (Cornell University)
|
2023
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3 회 인용
Machine-learning-accelerated simulations to enable automatic surface reconstruction
Xiaochen Du, James K. Damewood 외 5명
arXiv (Cornell University)
|
2023
|
3 회 인용
Machine Learning, Density Functional Theory, and Experiments to Understand the Photocatalytic Reduction of CO$_2$ by CuPt/TiO$_2$
Vaidish Sumaria, Takat B. Rawal 외 7명
arXiv (Cornell University)
|
2024
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3 회 인용
Machine Learning Potentials for Heterogeneous Catalysis
Amir Omranpour, Jan Elsner 외 2명
arXiv (Cornell University)
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2024
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3 회 인용
MADGEN: Mass-Spec attends to De Novo Molecular generation
Yinkai Wang, Xiaohong Chen 외 2명
arXiv (Cornell University)
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2025
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3 회 인용
Magic-Angle Twisted Symmetric Trilayer Graphene as Topological Heavy Fermion Problem
Jiabin Yu, Ming Xie 외 2명
arXiv (Cornell University)
|
2023
|
3 회 인용
Magnetic interactions in FeSe studied by first principle calculations
Shuai Wang, Fa Wang
arXiv (Cornell University)
|
2015
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3 회 인용
Magnetic, magnetocaloric and transport properties of HoRuSi compound
Sachin Gupta, К. Г. Суреш 외 1명
arXiv (Cornell University)
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2013
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3 회 인용
Magnetic Moment and Band Structure Analysis of Fe, Co, Ni-modified Graphene-nano- ribbon
Norio Ota
arXiv (Cornell University)
|
2014
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3 회 인용
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