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Materials Science
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
Machine Guided Discovery of Novel Carbon Capture Solvents
James L. McDonagh, Benjamin H. Wunsch 외 6명
arXiv (Cornell University)
|
2023
|
4 회 인용
Machine Learned Hückel Theory: Interfacing Physics and Deep Neural Networks
Tetiana Zubatyuk, Ben Nebgen 외 8명
arXiv (Cornell University)
|
2019
|
4 회 인용
Machine learning-assisted discovery of many new solid Li-ion conducting materials
Austin D. Sendek, Ekin D. Cubuk 외 4명
arXiv (Cornell University)
|
2018
|
4 회 인용
Machine-learning convex and texture-dependent macroscopic yield from crystal plasticity simulations
Jan N. Fuhg, Lloyd van Wees 외 4명
arXiv (Cornell University)
|
2022
|
4 회 인용
Machine Learning Design of Perovskite Catalytic Properties
Ryan Jacobs, Jian Liu 외 2명
arXiv (Cornell University)
|
2023
|
4 회 인용
Machine-learning interatomic potentials reproduce vibrational and magnetic degrees of freedom
Ivan S. Novikov, Blazej Grabowski 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Machine Learning Inversion from Scattering for Mechanically Driven Polymers
Lijie Ding, Chi-Huan Tung 외 3명
arXiv (Cornell University)
|
2024
|
4 회 인용
Machine Learning methods for interatomic potentials: application to boron carbide
Qin Gao, Sanxi Yao 외 2명
arXiv (Cornell University)
|
2015
|
4 회 인용
Machine learning phases of matter
Juan Carrasquilla, Roger G. Melko
arXiv (Cornell University)
|
2016
|
4 회 인용
Machine learnt approximations to the bridge function yield improved closures for the Ornstein-Zernike equation
Rhys E. A. Goodall, Alpha A. Lee
arXiv (Cornell University)
|
2020
|
4 회 인용
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