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공공누리This item is licensed Korea Open Government License

Title
Feasibility of activation energy prediction of gas-phase reactions via machine learning
Author(s)
최성환김우연김연준김지효김진우
Publication Year
2018-02-23
Journal Title
Chemistry - A European Journal
ISSN
0947-6539
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14748
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