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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
Pure plate bending in couple stress theories
Ali R. Hadjesfandiari, Arezoo Hajesfandiari 외 1명
arXiv (Cornell University)
|
2016
|
6 회 인용
Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry
Kieran Dalton, Christopher K. Long 외 5명
arXiv (Cornell University)
|
2022
|
6 회 인용
Quantum-assisted cluster analysis
Florian Neukart, David Von Dollen 외 1명
arXiv (Cornell University)
|
2018
|
6 회 인용
Quantum chemistry-augmented neural networks for reactivity prediction: Performance, generalizability and interpretability
Thijs Stuyver, Connor W. Coley
arXiv (Cornell University)
|
2021
|
6 회 인용
Quantum Hall Effect in a Graphene p-n Junction
J. R. Williams, L. DiCarlo 외 1명
ArXiv.org
|
2007
|
6 회 인용
Quantum Oscillations of the Metallic Triangular-lattice Antiferromagnet PdCrO2
Jong Mok Ok, Younghun Jo 외 7명
arXiv (Cornell University)
|
2013
|
6 회 인용
Qubit guidelines for solid-state spin defects
Gary Wolfowicz, F. Joseph Heremans 외 6명
arXiv (Cornell University)
|
2020
|
6 회 인용
Realistic Atomistic Structure of Amorphous Silicon from Machine-Learning-Driven Molecular Dynamics.
Volker L. Deringer, Noam Bernstein 외 7명
arXiv (Cornell University)
|
2018
|
6 회 인용
Realization of Room-Temperature Phonon-limited Carrier Transport in Monolayer MoS2 by Dielectric and Carrier Screening
Zhihao Yu, Zhun‐Yong Ong 외 10명
arXiv (Cornell University)
|
2015
|
6 회 인용
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
Hanxun Jin, Enrui Zhang 외 1명
arXiv (Cornell University)
|
2023
|
6 회 인용
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