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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
Exposing the static scale of the glass transition by random pinning
Smarajit Karmakar, Itamar Procaccia
arXiv (Cornell University)
|
2011
|
3 회 인용
Extension of SASE bandwidth up to 2% as a way to increase the efficiency of protein structure determination by x-ray nanocrystallography at the European XFEL
Svitozar Serkez, Vitali Kocharyan 외 4명
arXiv (Cornell University)
|
2013
|
3 회 인용
Extracting Phases from Aperiodic Signals
Alexander Kraskov, Thomas Kreuz 외 4명
arXiv (Cornell University)
|
2004
|
3 회 인용
Fabrication of Flexible Super Capacitor Using Laser Lightscribe Technique
G. B. Joseph, A. Alfred Kirubaraj 외 2명
arXiv (Cornell University)
|
2014
|
3 회 인용
Fabrication of highly dense isotropic Nd-Fe-B bonded magnets via extrusion-based additive manufacturing
Ling Li, Kodey Jones 외 14명
arXiv (Cornell University)
|
2017
|
3 회 인용
Fabrication of uniform half-shell magnetic nanoparticles and microspheres with applications as magnetically modulated optical nanoprobes
Brandon H. McNaughton, Vladimir A. Stoica 외 3명
arXiv (Cornell University)
|
2005
|
3 회 인용
False Prediction of Fundamental Properties of Metals by Hybrid Functionals
Weiwei Gao, Tesfaye A. Abtew 외 4명
arXiv (Cornell University)
|
2015
|
3 회 인용
Faraday rotations, ellipticity and circular dichroism in the magneto-optical spectrum of moir\'e superlattices
J. A. Crosse, Pilkyung Moon
arXiv (Cornell University)
|
2021
|
3 회 인용
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics
Alessandra Carbone, Aurélien Decelle 외 2명
arXiv (Cornell University)
|
2023
|
3 회 인용
Feature Importance and Explainability in Quantum Machine Learning
Luke Power, Krishnendu Guha
arXiv (Cornell University)
|
2024
|
3 회 인용
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