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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
Minireview on Disordered Optical Metasurfaces
Philippe Lalanne, А. К. Дмитриев 외 3명
arXiv (Cornell University)
|
2023
|
4 회 인용
Mirror-backed dielectric metasurface sensor with ultrahigh figure of merit based on super-narrow Rayleigh anomaly
Yonghang Wang, Lei Xiong 외 2명
arXiv (Cornell University)
|
2021
|
4 회 인용
ML4Chem: A Machine Learning Package for Chemistry and Materials Science
Muammar El Khatib, Wibe A. de Jong
arXiv (Cornell University)
|
2020
|
4 회 인용
MLModelScope: A Distributed Platform for ML Model Evaluation and Benchmarking at Scale
Abdul Dakkak, Cheng Li 외 2명
arXiv (Cornell University)
|
2019
|
4 회 인용
Model of Internal Friction Damping in Solids
Randall D. Peters
ArXiv.org
|
2002
|
4 회 인용
Model of the Electrostatics and Tunneling Current of Metal-Graphene Junctions and Metal-Insulator-Graphene Heterostructures
Ferney A. Chaves, David Jiménez 외 2명
arXiv (Cornell University)
|
2013
|
4 회 인용
Modeling the nonlinear dielectric response of glass formers
U. Buchenau
arXiv (Cornell University)
|
2015
|
4 회 인용
Moiré-localized interlayer exciton wavefunctions captured by imaging its electron and hole constituents
Ouri Karni, Elyse Barré 외 22명
arXiv (Cornell University)
|
2021
|
4 회 인용
Molecular Inverse-Design Platform for Material Industries
Seiji Takeda, Toshiyuki Hama 외 18명
arXiv (Cornell University)
|
2020
|
4 회 인용
Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression
Lixue Cheng, Jiace Sun 외 3명
arXiv (Cornell University)
|
2022
|
4 회 인용
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