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머신러닝 소스 코드 모음
a neural network model for high entropy alloy design:
https://drive.google.com/file/d/1KZabJT1ofqFsBpxswnMXtRsuDFOiR2rQ/view?usp=sharing
Material-agnostic machine learning approach enables high relative density in powder bed fusion products:
https://doi.org/10.5281/zenodo.8382890
A machine learning approach for predicting evaporation-induced composition variability in directed energy deposition in-situ alloying:
https://drive.google.com/file/d/1WMlLyfl7CwfdmYq5w7jIz_LEDNH9whRO/view?usp=sharing
Interpretable and physics-informed modeling of solidification in alloy systems: A generalized framework for multi-component prediction:
https://drive.google.com/file/d/1D6E8IY_KjhsIgMFMmWVDqGZKKKnRz340/view?usp=sharing
번호 | 제목 | 글쓴이 | 날짜 | 조회 수 |
---|---|---|---|---|
공지 |
CMSE Lab.에서의 대학원 첫학기 (2023 Ver.)
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Byeong-Joo Lee | 2004.01.26 | 40311 |
» | 머신러닝 소스 코드 모음 | 왕재민 | 2025.03.06 | 83 |
8 |
PBF 상대밀도 & 공정 조건 예측 프로그램
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왕재민 | 2023.11.11 | 803 |
7 |
Excellent Thesis Award
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Byeong-Joo Lee | 2021.12.23 | 1061 |
6 |
WISET KIM Award
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지준호 | 2018.11.08 | 3166 |
5 |
학부생을 위한 전산 소재 공정설계 그룹 홈페이지
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Byeong-Joo Lee | 2018.04.19 | 9082 |
4 |
전산재료과학 도서 출판
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Byeong-Joo Lee | 2016.01.05 | 10046 |
3 |
Samsung Humantech Paper Award
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Byeong-Joo Lee | 2014.02.13 | 11529 |
2 |
CALPHAD Best Paper Award
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Byeong-Joo Lee | 2011.07.19 | 21846 |
1 |
Best Presentation Award
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Byeong-Joo Lee | 2010.06.07 | 38714 |
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