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Other articles related with "machine learning"：
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57102 |
Ting Liu(刘婷), Rong-Sheng Han(韩榕生), and Liang Chen(陈亮) |
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Prediction of impurity spectrum function by deep learning algorithm |
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Chin. Phys. B
2024 Vol.33 (5): 57102-057102
[Abstract]
(1)
[HTML 0 KB]
[PDF 0 KB]
(0)
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47402 |
Jian Zhang(张健), Hao-Chun Zhang(张昊春), Weifeng Li(李伟峰), and Gang Zhang(张刚) |
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Thermal conductivity of GeTe crystals based on machine learning potentials |
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Chin. Phys. B
2024 Vol.33 (4): 47402-047402
[Abstract]
(32)
[HTML 0 KB]
[PDF 4624 KB]
(19)
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40501 |
Yang Li(李扬), Shenglan Yuan(袁胜兰), Linghongzhi Lu(陆凌宏志), and Xianbin Liu(刘先斌) |
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Computing large deviation prefactors of stochastic dynamical systems based on machine learning |
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Chin. Phys. B
2024 Vol.33 (4): 40501-040501
[Abstract]
(32)
[HTML 0 KB]
[PDF 1453 KB]
(10)
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40303 |
Tao Cheng(程涛), Run-Sheng Zhao(赵润盛), Shuang Wang(王爽), Rui Wang(王睿), and Hong-Yang Ma(马鸿洋) |
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Analysis of learnability of a novel hybrid quantum—classical convolutional neural network in image classification |
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Chin. Phys. B
2024 Vol.33 (4): 40303-040303
[Abstract]
(48)
[HTML 0 KB]
[PDF 1534 KB]
(15)
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30701 |
Yiming Tang(唐一鸣), Zhongyuan Yang(杨中元), Yifei Yao(姚逸飞), Yun Zhou(周运), Yuan Tan(谈圆),Zichao Wang(王子超), Tong Pan(潘瞳), Rui Xiong(熊瑞), Junli Sun(孙俊力), and Guanghong Wei(韦广红) |
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Recent advances in protein conformation sampling by combining machine learning with molecular simulation |
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Chin. Phys. B
2024 Vol.33 (3): 30701-030701
[Abstract]
(50)
[HTML 0 KB]
[PDF 3732 KB]
(58)
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16109 |
Yizhi Wang(王一志), Xiuhua Cui(崔秀花), Jing Liu(刘静), Qun Jing(井群), Haiming Duan(段海明), and Haibin Cao(曹海宾) |
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Geometries and electronic structures of ZrnCu(n =2-12) clusters: A joint machine-learning potential density functional theory investigation |
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Chin. Phys. B
2024 Vol.33 (1): 16109-16109
[Abstract]
(77)
[HTML 0 KB]
[PDF 3828 KB]
(26)
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126103 |
Cheng-Zhou Zhang(张城洲) and Xiao-Qian Fu(付小倩) |
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Applications and potentials of machine learning in optoelectronic materials research: An overview and perspectives |
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Chin. Phys. B
2023 Vol.32 (12): 126103-126103
[Abstract]
(111)
[HTML 0 KB]
[PDF 3403 KB]
(65)
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98401 |
Maosheng Hao(郝茂生) and Pengfei Guan(管鹏飞) |
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An artificial neural network potential for uranium metal at low pressures |
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Chin. Phys. B
2023 Vol.32 (9): 98401-098401
[Abstract]
(115)
[HTML 1 KB]
[PDF 1163 KB]
(59)
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70304 |
Jinge Yan(颜金歌), Lili Yan(闫丽丽), and Shibin Zhang(张仕斌) |
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A new method of constructing adversarial examples for quantum variational circuits |
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Chin. Phys. B
2023 Vol.32 (7): 70304-070304
[Abstract]
(148)
[HTML 0 KB]
[PDF 725 KB]
(123)
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75211 |
Wenhui Hu(胡文慧), Jilei Hou(侯吉磊), Zhengping Luo(罗正平), Yao Huang(黄耀), Dalong Chen(陈大龙),Bingjia Xiao(肖炳甲), Qiping Yuan(袁旗平), Yanmin Duan(段艳敏), Jiansheng Hu(胡建生),Guizhong Zuo(左桂忠), and Jiangang Li(李建刚) |
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Prediction of multifaceted asymmetric radiation from the edge movement in density-limit disruptive plasmas on Experimental Advanced Superconducting Tokamak using random forest |
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Chin. Phys. B
2023 Vol.32 (7): 75211-075211
[Abstract]
(145)
[HTML 0 KB]
[PDF 2814 KB]
(106)
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67401 |
M A Timirgazin and A K Arzhnikov |
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Generalization properties of restricted Boltzmann machine for short-range order |
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Chin. Phys. B
2023 Vol.32 (6): 67401-067401
[Abstract]
(134)
[HTML 1 KB]
[PDF 640 KB]
(28)
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58201 |
Ao Chen(陈奥), Hua Tong(童话), Cheng-Wei Wu(吴成伟), Guofeng Xie(谢国锋), Zhong-Xiang Xie(谢忠祥), Chang-Qing Xiang(向长青), and Wu-Xing Zhou(周五星) |
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Stress effect on lattice thermal conductivity of anode material NiNb2O6 for lithium-ion batteries |
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Chin. Phys. B
2023 Vol.32 (5): 58201-058201
[Abstract]
(194)
[HTML 0 KB]
[PDF 3943 KB]
(116)
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57306 |
Xiaoyi Ma(马宵怡), Yufeng Luo(罗宇峰), Mengke Li(李梦可), Wenyan Jiao(焦文艳), Hongmei Yuan(袁红梅), Huijun Liu(刘惠军), and Ying Fang(方颖) |
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Machine learning of the Γ-point gap and flat bands of twisted bilayer graphene at arbitrary angles |
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Chin. Phys. B
2023 Vol.32 (5): 57306-057306
[Abstract]
(193)
[HTML 0 KB]
[PDF 1172 KB]
(168)
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56802 |
Hongsheng Liu(柳洪盛), Yuanyuan Zhao(赵圆圆), Shi Qiu(邱实), Jijun Zhao(赵纪军), and Junfeng Gao(高峻峰) |
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Reconstruction and stability of Fe3O4(001) surface: An investigation based on particle swarm optimization and machine learning |
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Chin. Phys. B
2023 Vol.32 (5): 56802-056802
[Abstract]
(180)
[HTML 0 KB]
[PDF 2412 KB]
(110)
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56302 |
Yilin Zhang(张轶霖), Huimin Mu(穆慧敏), Yuxin Cai(蔡雨欣), Xiaoyu Wang(王啸宇), Kun Zhou(周琨), Fuyu Tian(田伏钰), Yuhao Fu(付钰豪), and Lijun Zhang(张立军) |
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Evaluating thermal expansion in fluorides and oxides: Machine learning predictions with connectivity descriptors |
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Chin. Phys. B
2023 Vol.32 (5): 56302-056302
[Abstract]
(192)
[HTML 0 KB]
[PDF 1865 KB]
(188)
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54402 |
Zhanjun Qiu(邱占均), Yanxiao Hu(胡晏箫), Ding Li(李顶), Tao Hu(胡涛), Hong Xiao(肖红),Chunbao Feng(冯春宝), and Dengfeng Li(李登峰) |
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Thermal transport properties of two-dimensional boron dichalcogenides from a first-principles and machine learning approach |
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Chin. Phys. B
2023 Vol.32 (5): 54402-054402
[Abstract]
(221)
[HTML 1 KB]
[PDF 10117 KB]
(160)
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46301 |
Jinlong Hu(胡锦龙), Yuting Zuo(左钰婷), Yuzhou Hao(郝昱州), Guoyu Shu(舒国钰), Yang Wang(王洋), Minxuan Feng(冯敏轩), Xuejie Li(李雪洁), Xiaoying Wang(王晓莹), Jun Sun(孙军), Xiangdong Ding(丁向东), Zhibin Gao(高志斌), Guimei Zhu(朱桂妹), and Baowen Li(李保文) |
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Prediction of lattice thermal conductivity with two-stage interpretable machine learning |
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Chin. Phys. B
2023 Vol.32 (4): 46301-046301
[Abstract]
(389)
[HTML 0 KB]
[PDF 2150 KB]
(307)
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10307 |
Xue-Yi Guo(郭学仪), Shang-Shu Li(李尚书), Xiao Xiao(效骁), Zhong-Cheng Xiang(相忠诚), Zi-Yong Ge(葛自勇), He-Kang Li(李贺康), Peng-Tao Song(宋鹏涛), Yi Peng(彭益), Zhan Wang(王战), Kai Xu(许凯), Pan Zhang(张潘), Lei Wang(王磊), Dong-Ning Zheng(郑东宁), and Heng Fan(范桁) |
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Variational quantum simulation of thermal statistical states on a superconducting quantum processer |
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Chin. Phys. B
2023 Vol.32 (1): 10307-010307
[Abstract]
(594)
[HTML 1 KB]
[PDF 3465 KB]
(629)
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10201 |
Jing Yue(岳靖), Jian Li(李剑), Wen Zhang(张文), and Zhangxin Chen(陈掌星) |
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The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems |
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Chin. Phys. B
2023 Vol.32 (1): 10201-010201
[Abstract]
(239)
[HTML 0 KB]
[PDF 3138 KB]
(61)
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78402 |
Tonghe Ying(应通和), Jianbao Zhu(朱健保), and Wenguang Zhu(朱文光) |
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Machine learning potential aided structure search for low-lying candidates of Au clusters |
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Chin. Phys. B
2022 Vol.31 (7): 78402-078402
[Abstract]
(357)
[HTML 1 KB]
[PDF 2075 KB]
(121)
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70501 |
Yong Huang(黄勇) and Yang Li(李扬) |
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Data-driven modeling of a four-dimensional stochastic projectile system |
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Chin. Phys. B
2022 Vol.31 (7): 70501-070501
[Abstract]
(306)
[HTML 1 KB]
[PDF 2563 KB]
(59)
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60304 |
Shi-Jie Pan(潘世杰), Lin-Chun Wan(万林春), Hai-Ling Liu(刘海玲), Yu-Sen Wu(吴宇森), Su-Juan Qin(秦素娟), Qiao-Yan Wen(温巧燕), and Fei Gao(高飞) |
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Quantum algorithm for neighborhood preserving embedding |
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Chin. Phys. B
2022 Vol.31 (6): 60304-060304
[Abstract]
(588)
[HTML 1 KB]
[PDF 911 KB]
(379)
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56302 |
Ruoting Zhao(赵若廷), Bangyu Xing(邢邦昱), Huimin Mu(穆慧敏), Yuhao Fu(付钰豪), and Lijun Zhang(张立军) |
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Evaluation of performance of machine learning methods in mining structure—property data of halide perovskite materials |
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Chin. Phys. B
2022 Vol.31 (5): 56302-056302
[Abstract]
(497)
[HTML 1 KB]
[PDF 1248 KB]
(454)
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30304 |
Yan-Yan Hou(侯艳艳), Jian Li(李剑), Xiu-Bo Chen(陈秀波), and Yuan Tian(田源) |
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Quantum partial least squares regression algorithm for multiple correlation problem |
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Chin. Phys. B
2022 Vol.31 (3): 30304-030304
[Abstract]
(370)
[HTML 0 KB]
[PDF 669 KB]
(81)
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10314 |
Jintao Yang(杨锦涛), Junpeng Cao(曹俊鹏), and Wen-Li Yang(杨文力) |
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Dynamical learning of non-Markovian quantum dynamics |
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Chin. Phys. B
2022 Vol.31 (1): 10314-010314
[Abstract]
(345)
[HTML 0 KB]
[PDF 550 KB]
(55)
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120509 |
Yuansheng Chen(陈元盛) and Fei Tong(仝飞) |
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Stability analysis of hydro-turbine governing system based on machine learning |
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Chin. Phys. B
2021 Vol.30 (12): 120509-120509
[Abstract]
(350)
[HTML 0 KB]
[PDF 583 KB]
(46)
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57103 |
Yicheng Wu(吴义成), Bin Xu(徐斌), Yitao Sun(孙奕韬), and Pengfei Guan(管鹏飞) |
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Quantitative structure-plasticity relationship in metallic glass: A machine learning study |
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Chin. Phys. B
2021 Vol.30 (5): 57103-057103
[Abstract]
(528)
[HTML 1 KB]
[PDF 724 KB]
(138)
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40202 |
Aurélien Decelle, Cyril Furtlehner |
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Restricted Boltzmann machine: Recent advances and mean-field theory |
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Chin. Phys. B
2021 Vol.30 (4): 40202-040202
[Abstract]
(669)
[HTML 1 KB]
[PDF 4380 KB]
(401)
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40306 |
Yu-Lin Zheng(郑玉鳞), Wen Zhang(张文), Cheng Zhou(周诚), and Wei Geng(耿巍) |
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Quantum annealing for semi-supervised learning |
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Chin. Phys. B
2021 Vol.30 (4): 40306-
[Abstract]
(358)
[HTML 1 KB]
[PDF 1032 KB]
(143)
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116103 |
Zhilong Song(宋志龙), Xiwen Chen(陈曦雯), Fanbin Meng(孟繁斌), Guanjian Cheng(程观剑), Chen Wang(王陈), Zhongti Sun(孙中体), and Wan-Jian Yin(尹万健) |
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Machine learning in materials design: Algorithm and application |
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Chin. Phys. B
2020 Vol.29 (11): 116103-
[Abstract]
(1021)
[HTML 1 KB]
[PDF 4567 KB]
(867)
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108704 |
Bin Huang(黄斌), Yuanyang Du(杜渊洋), Shuai Zhang(张帅), Wenfei Li(李文飞), Jun Wang (王骏), and Jian Zhang(张建)† |
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Computational prediction of RNA tertiary structures using machine learning methods |
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Chin. Phys. B
2020 Vol.29 (10): 108704-
[Abstract]
(31)
[HTML 1 KB]
[PDF 427 KB]
(171)
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108708 |
Huiwen Wang(王慧雯) and Yunjie Zhao(赵蕴杰)† |
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Methods and applications of RNA contact prediction |
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Chin. Phys. B
2020 Vol.29 (10): 108708-
[Abstract]
(31)
[HTML 1 KB]
[PDF 1781 KB]
(110)
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46101 |
Zhen Zhu(朱震), Baojuan Dong(董宝娟), Huaihong Guo(郭怀红), Teng Yang(杨腾), Zhidong Zhang(张志东) |
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Fundamental band gap and alignment of two-dimensional semiconductors explored by machine learning |
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Chin. Phys. B
2020 Vol.29 (4): 46101-046101
[Abstract]
(712)
[HTML 1 KB]
[PDF 3264 KB]
(284)
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14211 |
M R C Mahdy, Hamim Mahmud Rivy, Ziaur Rahman Jony, Nabila Binte Alam, Nabila Masud, Golam Dastegir Al Quaderi, Ibraheem Muhammad Moosa, Chowdhury Mofizur Rahman, M Sohel Rahman |
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Dielectric or plasmonic Mie object at air-liquid interface: The transferred and the traveling momenta of photon |
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Chin. Phys. B
2020 Vol.29 (1): 14211-014211
[Abstract]
(593)
[HTML 1 KB]
[PDF 3531 KB]
(222)
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118901 |
Yibin Xu(徐一斌) |
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Accomplishment and challenge of materials database toward big data |
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Chin. Phys. B
2018 Vol.27 (11): 118901-118901
[Abstract]
(753)
[HTML 1 KB]
[PDF 1688 KB]
(342)
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67503 |
Bo Zhang(张博), Xin-Qi Zheng(郑新奇), Tong-Yun Zhao(赵同云), Feng-Xia Hu(胡凤霞), Ji-Rong Sun(孙继荣), Bao-Gen Shen(沈保根) |
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Machine learning technique for prediction of magnetocaloric effect in La(Fe, Si/Al)13-based materials |
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Chin. Phys. B
2018 Vol.27 (6): 67503-067503
[Abstract]
(691)
[HTML 1 KB]
[PDF 755 KB]
(335)
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47501 |
Rui Li(李锐), Yao Liu(刘瑶), Shu-Lan Zuo(左淑兰), Tong-Yun Zhao(赵同云), Feng-Xia Hu(胡凤霞), Ji-Rong Sun(孙继荣), Bao-Gen Shen(沈保根) |
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Composition design for (PrNd-La–Ce)2Fe14B melt-spun magnets by machine learning technique |
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Chin. Phys. B
2018 Vol.27 (4): 47501-047501
[Abstract]
(652)
[HTML 1 KB]
[PDF 789 KB]
(231)
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20308 |
Tao Xin(辛涛), Bi-Xue Wang(王碧雪), Ke-Ren Li(李可仁), Xiang-Yu Kong(孔祥宇), Shi-Jie Wei(魏世杰), Tao Wang(王涛), Dong Ruan(阮东), Gui-Lu Long(龙桂鲁) |
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Nuclear magnetic resonance for quantum computing: Techniques and recent achievements |
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Chin. Phys. B
2018 Vol.27 (2): 20308-020308
[Abstract]
(976)
[HTML 1 KB]
[PDF 1442 KB]
(872)
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60503 |
Yong-Ming Yu(余永明), Li-Cai Yang(杨立才), Qian Zhou(周茜), Lu-Lu Zhao(赵璐璐), Zhi-Ping Liu(刘治平) |
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Exploring the relationship between fractal features and bacterial essential genes |
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Chin. Phys. B
2016 Vol.25 (6): 60503-060503
[Abstract]
(535)
[HTML 1 KB]
[PDF 1834 KB]
(309)
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