中国科学院计算技术研究所机构知识库

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	DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials 期刊论文 JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2025, 卷号: 21, 期号: 9, 页码: 4375-4385 作者:  Zeng, Jinzhe;  Zhang, Duo;  Peng, Anyang;  Zhang, Xiangyu;  He, Sensen;  Wang, Yan;  Liu, Xinzijian;  Bi, Hangrui;  Li, Yifan;  Cai, Chun;  Zhang, Chengqian;  Du, Yiming;  Zhu, Jia-Xin;  Mo, Pinghui;  Huang, Zhengtao;  Zeng, Qiyu;  Shi, Shaochen;  Qin, Xuejian;  Yu, Zhaoxi;  Luo, Chenxing;  Ding, Ye;  Liu, Yun-Pei;  Shi, Ruosong;  Wang, Zhenyu;  Bore, Sigbjorn Loland;  Chang, Junhan;  Deng, Zhe;  Ding, Zhaohan;  Han, Siyuan;  Jiang, Wanrun;  Ke, Guolin;  Liu, Zhaoqing;  Lu, Denghui;  Muraoka, Koki;  Oliaei, Hananeh;  Singh, Anurag Kumar;  Que, Haohui;  Xu, Weihong;  Xu, Zhangmancang;  Zhuang, Yong-Bin;  Dai, Jiayu;  Giese, Timothy J.;  Jia, Weile;  Xu, Ben;  York, Darrin M.;  Zhang, Linfeng;  Wang, Han 收藏  |  浏览/下载：1/0  |  提交时间：2025/06/25
	DPA-2: a large atomic model as a multi-task learner 期刊论文 NPJ COMPUTATIONAL MATERIALS, 2024, 卷号: 10, 期号: 1, 页码: 15 作者:  Zhang, Duo;  Liu, Xinzijian;  Zhang, Xiangyu;  Zhang, Chengqian;  Cai, Chun;  Bi, Hangrui;  Du, Yiming;  Qin, Xuejian;  Peng, Anyang;  Huang, Jiameng;  Li, Bowen;  Shan, Yifan;  Zeng, Jinzhe;  Zhang, Yuzhi;  Liu, Siyuan;  Li, Yifan;  Chang, Junhan;  Wang, Xinyan;  Zhou, Shuo;  Liu, Jianchuan;  Luo, Xiaoshan;  Wang, Zhenyu;  Jiang, Wanrun;  Wu, Jing;  Yang, Yudi;  Yang, Jiyuan;  Yang, Manyi;  Gong, Fu-Qiang;  Zhang, Linshuang;  Shi, Mengchao;  Dai, Fu-Zhi;  York, Darrin M.;  Liu, Shi;  Zhu, Tong;  Zhong, Zhicheng;  Lv, Jian;  Cheng, Jun;  Jia, Weile;  Chen, Mohan;  Ke, Guolin;  Weinan, E.;  Zhang, Linfeng;  Wang, Han 收藏  |  浏览/下载：1/0  |  提交时间：2025/06/25
	A Novel Attention-Mechanism Based Cox Survival Model by Exploiting Pan-Cancer Empirical Genomic Information 期刊论文 CELLS, 2022, 卷号: 11, 期号: 9, 页码: 18 作者:  Meng, Xiangyu;  Wang, Xun;  Zhang, Xudong;  Zhang, Chaogang;  Zhang, Zhiyuan;  Zhang, Kuijie;  Wang, Shudong 收藏  |  浏览/下载：43/0  |  提交时间：2022/12/07 deep learning  survival analysis  neural networks  Cox regression  cancer prognosis
	TransPhos: A Deep-Learning Model for General Phosphorylation Site Prediction Based on Transformer-Encoder Architecture 期刊论文 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 卷号: 23, 期号: 8, 页码: 17 作者:  Wang, Xun;  Zhang, Zhiyuan;  Zhang, Chaogang;  Meng, Xiangyu;  Shi, Xin;  Qu, Peng 收藏  |  浏览/下载：43/0  |  提交时间：2022/12/07 phosphorylation site prediction  transformer  post-translational modifications