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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
GLLH EM Invisible Cloak With Novel Front Branching And Without Exceed Light Speed Violation
Ganquan Xieand, Jianhua Li 외 2명
arXiv (Cornell University)
|
2010
|
6 회 인용
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Leon Gerard, Michael Scherbela 외 2명
arXiv (Cornell University)
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2022
|
6 회 인용
Graph-Aware Transformer: Is Attention All Graphs Need?
Sanghyun Yoo, Young Seok Kim 외 5명
arXiv (Cornell University)
|
2020
|
6 회 인용
Graphene on metal surface: gap opening and n-doping
Yunhua Lu, Pimo He 외 1명
ArXiv.org
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2007
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6 회 인용
HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
Ziyao Li, Shu-Wen Yang 외 2명
arXiv (Cornell University)
|
2021
|
6 회 인용
Heat Conduction in Low Dimensions: From Fermi-Pasta-Ulam Chains to Single-Walled Nanotubes
Peter Grassberger, Lei Yang
arXiv (Cornell University)
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2002
|
6 회 인용
HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights
Xiaomin Fang, Jie Gao 외 5명
arXiv (Cornell University)
|
2024
|
6 회 인용
High-field mobility in graphene on substrate with a proper inclusion of the Pauli exclusion principle
Marco Coco, Armando Majorana 외 2명
arXiv (Cornell University)
|
2017
|
6 회 인용
High Performance WSe2 Field-Effect Transistors via Controlled Formation of In-Plane Heterojunctions
Bilu Liu, Yuqiang Ma 외 7명
arXiv (Cornell University)
|
2016
|
6 회 인용
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+
Shuqi Lu, Zhifeng Gao 외 3명
arXiv (Cornell University)
|
2023
|
6 회 인용
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