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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
NOMAD 2018 Kaggle Competition: Solving Materials Science Challenges Through Crowd Sourcing
Christopher Sutton, Luca M. Ghiringhelli 외 8명
arXiv (Cornell University)
|
2018
|
20 회 인용
Observation of Ultralong Valley Lifetime in WSe2/MoS2 Heterostructures
Jonghwan Kim, Chenhao Jin 외 10명
arXiv (Cornell University)
|
2016
|
20 회 인용
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic, Badal Singh 외 1명
arXiv (Cornell University)
|
2018
|
20 회 인용
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials
Peter Eastman, Raimondas Galvelis 외 23명
arXiv (Cornell University)
|
2023
|
20 회 인용
Polyelectrolyte Layer-by-Layer Assembly from Self-Consistent Field Calculations
Qiang Wang
arXiv (Cornell University)
|
2005
|
20 회 인용
Protons in lattice confinement: Static pressure on the Y-substituted, hydrated BaZrO3 ceramic proton conductor decreases proton mobility
Qianli Chen, Artur Braun 외 4명
arXiv (Cornell University)
|
2011
|
20 회 인용
Quantum Energy Regression using Scattering Transforms
Matthew Hirn, Nicolas Poilvert 외 1명
arXiv (Cornell University)
|
2015
|
20 회 인용
Self-assembling two-dimensional quasicrystals in simple systems of monodisperse soft-core disks
Mengjie Zu, Peng Tan 외 1명
arXiv (Cornell University)
|
2017
|
20 회 인용
The 5th Reactive Synthesis Competition (SYNTCOMP 2018): Benchmarks, Participants & Results.
Swen Jacobs, Roderick Bloem 외 12명
arXiv (Cornell University)
|
2019
|
20 회 인용
The "DNA" of chemistry: Scalable quantum machine learning with "amons"
Bing Huang, O. Anatole von Lilienfeld
arXiv (Cornell University)
|
2017
|
20 회 인용
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