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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
Automatic Identification of Crystal Structures and Interfaces via Artificial-Intelligence-based Electron Microscopy
Andreas Leitherer, Byung Chul Yeo 외 2명
arXiv (Cornell University)
|
2023
|
4 회 인용
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning
Di Chen, Yiwei Bai 외 8명
arXiv (Cornell University)
|
2021
|
4 회 인용
Autonomous Atomic Scale Manufacturing Through Machine Learning
Mohammad Rashidi, Jeremiah Croshaw 외 4명
arXiv (Cornell University)
|
2019
|
4 회 인용
Autoregressive Neural Quantum States with Quantum Number Symmetries
Aleksei Malyshev, Juan Miguel Arrazola 외 1명
ArXiv.org
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2023
|
4 회 인용
Ballistic charge transport in twisted bilayer graphene
Hadi Z. Olyaei, Bruno Amorim 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Band Gap Opening and Optical Absorption Enhancement in Graphene using ZnO Nanoclusters
M. M. Monshi, Sadegh Mehdi Aghaei 외 1명
arXiv (Cornell University)
|
2017
|
4 회 인용
Benchmark Computation of Morphological Complexity in the Functionalized Cahn-Hilliard Gradient Flow
Andrew Christlieb, Keith Promislow 외 4명
arXiv (Cornell University)
|
2020
|
4 회 인용
Benchmarking of machine learning interatomic potentials for reactive hydrogen dynamics at metal surfaces
Wojciech G. Stark, van der Oord 외 5명
arXiv (Cornell University)
|
2024
|
4 회 인용
Better force fields start with better data -- A data set of cation dipeptide interactions
Xiaojuan Hu, Maja-Olivia Lenz-Himmer 외 1명
arXiv (Cornell University)
|
2021
|
4 회 인용
Bibliometric Analysis of Publisher and Journal Instructions to Authors on Generative-AI in Academic and Scientific Publishing
Conner Ganjavi, Michael Eppler 외 6명
arXiv (Cornell University)
|
2023
|
4 회 인용
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