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A.I. for nuclear physics
The European Physical Journal A ( IF 2.6 ) Pub Date : 2021-03-22 , DOI: 10.1140/epja/s10050-020-00290-x Paulo Bedaque , Amber Boehnlein , Mario Cromaz , Markus Diefenthaler , Latifa Elouadrhiri , Tanja Horn , Michelle Kuchera , David Lawrence , Dean Lee , Steven Lidia , Robert McKeown , Wally Melnitchouk , Witold Nazarewicz , Kostas Orginos , Yves Roblin , Michael Scott Smith , Malachi Schram , Xin-Nian Wang
中文翻译：
核物理人工智能
更新日期：2021-03-22
The European Physical Journal A ( IF 2.6 ) Pub Date : 2021-03-22 , DOI: 10.1140/epja/s10050-020-00290-x Paulo Bedaque , Amber Boehnlein , Mario Cromaz , Markus Diefenthaler , Latifa Elouadrhiri , Tanja Horn , Michelle Kuchera , David Lawrence , Dean Lee , Steven Lidia , Robert McKeown , Wally Melnitchouk , Witold Nazarewicz , Kostas Orginos , Yves Roblin , Michael Scott Smith , Malachi Schram , Xin-Nian Wang
This report is an outcome of the workshop AI for Nuclear Physics held at Thomas Jefferson National Accelerator Facility on March 4–6, 2020
中文翻译：
核物理人工智能
本报告是2020年3月4日至6日在托马斯·杰斐逊国家加速器设施举办的核物理人工智能研讨会的成果
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