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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
Lattice Opening Upon Bulk Reductive Covalent Functionalization of Black Phosphorus
Stefan Wild, Michael Fickert 외 17명
arXiv (Cornell University)
|
2019
|
9 회 인용
LDA+DMFT Approach to Magnetocrystalline Anisotropy of Strong Magnets
Jian‐Xin Zhu, M. Janoschek 외 6명
arXiv (Cornell University)
|
2014
|
9 회 인용
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li, Junzhou Huang
arXiv (Cornell University)
|
2017
|
9 회 인용
Lecture notes on NIP theories
Pïerre Simon
arXiv (Cornell University)
|
2012
|
9 회 인용
Liquid, Glass and Crystal in Two-dimensional Hard disks
Ludger Santen, Werner Krauth
arXiv (Cornell University)
|
2001
|
9 회 인용
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation
Ruizhe Zhong, Xingbo Du 외 8명
arXiv (Cornell University)
|
2023
|
9 회 인용
Low-temperature monoclinic layer stacking in atomically thin CrI$_3$ crystals
Nicolas Ubrig, Zhe Wang 외 6명
arXiv (Cornell University)
|
2019
|
9 회 인용
Machine Learning and Materials Informatics: Recent Applications and Prospects
Rampi Ramprasad, Rohit Batra 외 3명
arXiv (Cornell University)
|
2017
|
9 회 인용
Machine learning based prediction of the electronic structure of quasi-one-dimensional materials under strain
Shashank Pathrudkar, Hsuan Ming Yu 외 2명
arXiv (Cornell University)
|
2022
|
9 회 인용
Machine learning for accelerating the discovery of high performance low-cost solar cells: a systematic review
Satyam Bhatti, Habib Ullah Manzoor 외 6명
arXiv (Cornell University)
|
2022
|
9 회 인용
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