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钱萍
(Ping Qian)
University of Science and Technology Beijing
33
H指数
362
论文数
4.1K
被引数
0
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140
发表时间
发表时间
IF
被引数
General-purpose machine-learned interatomic potentials for 18 transition metal dichalcogenides: Comprehensive investigations into mechanical responses, phase stability, and thermal properties
通用机器学习原子间势能用于18种过渡金属二卤化物:对力学响应、相稳定性和热性质的综合研究
International Journal of Heat and Mass Transfer
IF
5.8
2026-09-03
0
PRE
AI
Yongbo Shi; Yu Bao; Chenyang Cao; Shuo Cao; Keke Song; Haixia Cheng; Lu Xiao; Ping Qian
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Uniformity of nanovoid size distribution governs the tensile response of nanovoid-dispersed Au
纳米空穴尺寸分布的均匀性决定了分散有纳米空穴的金的拉伸响应
Physica B-Condensed Matter
IF
2.8
2026-07-01
0
PRE
AI
Han, Junke; Wang, Jingwen; Wu, Zebin; Bao, Yu; Sun, Yuguo; Zhang, Guohua; Gao, Panpan; Qian, Ping
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First-principles study on the influence of co-segregated solutes on the thermodynamic stability and mechanical properties of twist grain boundary in yttrium
第一性原理研究共偏聚溶质对钇中扭转晶界热力学稳定性和力学性能的影响
Materials Chemistry and Physics
IF
4.7
2026-06-01
0
PRE
AI
Lyu, Guanlin; Sun, Yuguo; Li, Shenglei; Gao, Panpan; Qian, Ping
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Insight into ultra-low lattice thermal conductivity and native defect behavior in lead-free perovskite Cs 3Sb 2I 9
深入了解无铅钙钛矿Cs₃Sb₂I₉的超低晶格热导率和本征缺陷行为
Journal of Alloys and Compounds
IF
6.3
2026-05-24
0
PRE
AI
Yuanyuan Chen; Shuo Cao; Chenyang Cao; Yu Bao; Keke Song; Min Zhong; Ping Qian; Yanjing Su
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Metal atom-doped TiN/Ti3C2Br heterostructures as efficient catalysts for lithium-sulfur batteries: Insights from first-principles and machine learning
金属原子掺杂的TiN/Ti3C2Br异质结构作为锂硫电池的高效催化剂:第一性原理与机器学习的见解
Journal of Power Sources
IF
7.9
2026-04-17
0
PRE
AI
Mei Yang; Changxin Wang; Minhui Song; Lu Xie; Xiaoxu Wang; Ping Qian; Yanjing Su
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First-Principles Study of the Interfacial Wetting Behavior of MXene/Cu Composites
基于第一性原理的MXene/Cu复合材料界面润湿行为研究
ACS Omega
IF
4.3
2026-02-10
0
OA
AI
Guocai Lv; Guanlin Lyu; Wenjuan Qian; Hao Zhang; Shengzhuo Li; Ping Qian
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Atomistic understanding of hydrogen bubble-induced embrittlement in tungsten enabled by machine learning molecular dynamics
通过机器学习分子动力学实现的钨中氢气泡诱致脆化的原子级理解
npj Computational Materials
IF
11.9
2026-02-05
0
OA
AI
Yu Bao; Keke Song; Jiahui Liu; Yanzhou Wang; Yifei Ning; Penghua Ying; Ping Qian
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Aqueous-Phase and End-Group Engineering Synergistically Modulate CO2 Reduction on Porphyrin Single-Atom Catalysts: Mechanistic Insights
水相和端基工程协同调控卟啉单原子催化剂上的CO2还原:机理洞察
ACS OMEGA
IF
4.3
2025-12-01
0
PRE
AI
Wang, Kai; Li, Hongfei; Yang, Mei; Song, Minhui; Cao, Chenyang; Qian, Ping
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Design of Transition Metal Dichalcogenides Using General-Purpose Machine-Learned Interatomic Potentials
CHEMISTRY OF MATERIALS
IF
7
2025-12-01
0
PRE
AI
Shi, Yongbo; Bao, Yu; Cao, Shuo; Su, Ye; Qian, Ping
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First−principles study of the effects of 4d transition metal solute segregation on the properties of the yttrium twin boundary 101¯1
基于第一性原理的4d过渡金属溶质偏聚对钇孪晶界101¯1性质影响的研究
Chemical Physics Letters
IF
3.1
2025-11-28
0
PRE
AI
Ruoyu Xu; Guanlin Lyu; Yuguo Sun; Ping Qian
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Strain and solvation effects on Ti3C2O–TiN heterostructures as bifunctional electrocatalysts for Li–S batteries: a first-principles study
应变和溶剂化效应对Ti3C2O–TiN异质结构作为Li–S电池双功能电催化剂的影响:一项第一性原理研究
Phys. Chem. Chem. Phys.
IF
0
2025-11-27
0
PRE
AI
Mei Yang; Minhui Song; Lu Xie; Ping Qian; Yanjing Su
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Insights into the mechanical and thermal transport properties of 2D BxCyNz from machine-learned interatomic potentials
基于机器学习原子间势能的二维BxCyNz的机械和热输运性能研究
Diamond and Related Materials
IF
5.1
2025-11-17
0
PRE
AI
Yongbo Shi; Yu Bao; Lei Zhang; Ye Su; Ping Qian
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A General-Purpose Machine-Learning Interatomic Potential for FeCr Steel: Atomistic Insights into High-Temperature Mechanical Behavior
一种通用机器学习原子间势函数用于FeCr钢:高温力学行为的原子尺度见解
Nuclear Engineering and Technology
IF
2.6
2025-10-30
0
OA
AI
ChengYi Hou; RuiXuan Zhao; HuiJun Zhang; ChuBin Wan; KeYuan Chen; PeiYi Pan; Zun Ma; XiaoYu Hu; Ping Qian; Xin Ju
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Investigation of thermodynamic stability and catalytic activity on Pt single atoms and small Pt clusters anchoring on MXene supports for the hydrogen evolution reaction
研究锚定在MXene载体上的铂单原子和小铂团簇的热力学稳定性及催化活性,用于氢气进化反应
J. Mater. Chem. C
IF
0
2025-10-22
0
PRE
AI
Minhui Song; Mei Yang; Kai Wang; Chenyang Cao; Lu Xie; Qing Liu; Haixia Cheng; Hongfei Li; Panpan Gao; Yanjing Su; Ping Qian
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Structural and Transport Properties of LiTFSI/G3 Electrolyte with Machine-Learned Molecular Dynamics
LiTFSI/G3电解质的结构与传输性质:基于机器学习的分子动力学研究
The Journal of Physical Chemistry C
IF
0
2025-07-08
0
PRE
AI
Chenyang Cao; Liyi Bai; Shuo Cao; Ye Su; Yanzhou Wang; Zheyong Fan; Ping Qian
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Temperature effects on radiation damage in HCP-zirconium: A molecular dynamics study using a fine-tuned machine-learned potential
温度对hcp-锆中辐射损伤的影响:一项使用精细调校的机器学习势能的分子动力学研究
Journal of Nuclear Materials
IF
3.2
2025-07-08
0
PRE
AI
Xinfang Jia; Yu Bao; Shuo Cao; Ye Su; Ping Qian
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First-principles study of the effect of solute co-segregation on Y {10 1¯1} twin boundary
第一性原理研究溶质共偏聚对Y {10 1¯1} 孪晶界面的影响
Journal of Materials Science & Technology
IF
14.3
2025-07-07
0
PRE
AI
Yuguo Sun; Yuanxu Zhu; Guanlin Lyu; Kai Wang; Panpan Gao; Ping Qian
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Utilizing a machine-learned potential to explore enhanced radiation tolerance in the MoNbTaVW high-entropy alloy
利用机器学习势能探索MoNbTaVW高熵合金的增强辐射耐受性
Journal of Nuclear Materials
IF
3.2
2025-07-05
0
PRE
AI
Jiahui Liu; Jesper Byggmästar; Zheyong Fan; Bing Bai; Ping Qian; Yanjing Su
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Phase diagram and thermoelectric performance of lead-free perovskite using machine learning potentials and density functional theory
铅基钙钛矿相图与热电性能:基于机器学习势函数与密度泛函理论
Computational Materials Science
IF
3.3
2025-06-17
0
PRE
AI
Yuanyuan Chen; Zihao Song; Shuhan Lv; Libin Shi; Ping Qian
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Effect of microalgal species on sulfamethoxazole wastewater treatment and membrane fouling mitigation in membrane microalgal-bacterial coupling systems
微藻种类对膜微藻-细菌耦合系统中磺胺甲噁唑废水处理及膜污染缓解的影响
CHEMICAL ENGINEERING JOURNAL
IF
13.2
2025-05-01
0
PRE
AI
Lu, Weiwei; Liu, Dongmei; Chen, Jiaxuan; Hou, Chenglin; Lan, Huixia; Liang, Qiaochu; Zhang, Yongyu; Ping, Qian; Zhang, Yang
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研究方向
生物大分子体系的多尺度计算机模拟
水分子体系的力场模型建立及分子动力学模拟研究
合作学者
合作期刊
Y
Yuan Ping Feng
H 指数: 90 · 论文数: 811
N
Ning Li
H 指数: 83 · 论文数: 566
S
Sivakumar Manickam
H 指数: 73 · 论文数: 520
张磊
(Lei Zhang)
H 指数: 67 · 论文数: 1.0K
侯
侯成义
(Chengyi Hou)
H 指数: 65 · 论文数: 300
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