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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
Generative Design Ideation: A Natural Language Generation Approach
Qihao Zhu, Jianxi Luo
arXiv (Cornell University)
|
2022
|
10 회 인용
Giant anisotropic magnetoresistance in Ising superconductor-magnetic insulator tunnel junctions
Kaifei Kang, Shengwei Jiang 외 6명
arXiv (Cornell University)
|
2021
|
10 회 인용
Giant nonlinear Hall effect in strained twisted bilayer graphene
Cheng-Ping Zhang, Jiewen Xiao 외 5명
arXiv (Cornell University)
|
2020
|
10 회 인용
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction
Dominic Masters, Josef Dean 외 8명
arXiv (Cornell University)
|
2022
|
10 회 인용
Half Metal Transition Driven by Doping Eects in Osmium Double Perovskite
Madhav Prasad Ghimire, Xiao Hu
arXiv (Cornell University)
|
2014
|
10 회 인용
High-Throughput Computational Screening of Two-Dimensional Semiconductors
Vei Wang, Gang Tang 외 6명
arXiv (Cornell University)
|
2018
|
10 회 인용
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks
Edward Kim, Zach Jensen 외 9명
arXiv (Cornell University)
|
2018
|
10 회 인용
Inorganic Synthesis Reaction Condition Prediction with Generative Machine Learning
Christopher Karpovich, Zach Jensen 외 2명
arXiv (Cornell University)
|
2021
|
10 회 인용
Linking Phase-Field and Atomistic Simulations to Model Dendritic Solidification in Highly Undercooled Melts
J. Bragard, Alain Karma 외 2명
arXiv (Cornell University)
|
2001
|
10 회 인용
Machine learning and predicting the time dependent dynamics of local yielding in dry foams
Leevi Viitanen, Jonatan R. Mac Intyre 외 3명
arXiv (Cornell University)
|
2020
|
10 회 인용
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