高压物理学报

AI-Powered Frontiers in High-Temperature and High-Pressure Physics

Molecular Dynamics Simulation of Micro-Jetting and Spallation in Helium-Bubble Copper under Double Supported Shocks

WANG Xinxin, BAO Qiang, HE Anmin, SHAO Jianli, WANG Pei

2026, 40(1): 1-15. doi: 10.11858/gywlxb.20251075

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Advances in the Application of Machine Learning Potential to the Calculation of Mineral States and Properties in the Earth’s Deep Interior

WANG Chuan, ZENG Qiyu, CHEN Bo, YU Xiaoxiang, KANG Dongdong, DAI Jiayu

2026, 40(1): 010101. doi: 10.11858/gywlxb.20251218

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A Review of Machine Learning Potentials in the Study of Materials Properties

LI Jinlong, WANG Hao, GENG Huayun

2026, 40(1): 010102. doi: 10.11858/gywlxb.20251172

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The Disappearing Quartz-Coesite Path: the Phase Transition Mechanism of Silicon Dioxide from Machine Learning Simulations

DENG Pu, HOU Rui, ZHAO Yingliang, ZHU Shengcai

2026, 40(1): 010103. doi: 10.11858/gywlxb.20251122

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Translational-Rotational Decoupling Dynamics of High-Pressure Liquid Water under Quasi-Isentropic Compression

DENG Changhao, CHEN Bo, DAI Jiayu

2026, 40(1): 010104. doi: 10.11858/gywlxb.20251222

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Viscosity of Iron-Sulfur Alloy under the Conditions of the Earth Inner Core Calculated Based on the Neural Network Potential

XU Yunfan, HE Yu, ZHANG Wei, LI Heping

2026, 40(1): 010105. doi: 10.11858/gywlxb.20251221

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A Machine Learning Potential Model for Simulating Dynamic Mechanical Response of Pb-Sn Alloy

HOU Enze, WANG Xiaoyang, WANG Han

2026, 40(1): 010106. doi: 10.11858/gywlxb.20251151

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First-Principles Study on the Multiphase Equation of State of Tin

CHEN Kaile, WANG Yuechao, XU Yuanji, LIU Yu, XIAN Jiawei, WANG Lifang, JIAN Dan, LIU Haifeng, SONG Haifeng

2026, 40(1): 010107. doi: 10.11858/gywlxb.20251054

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High-Pressure Study on Structural Phase Transformation and Physical Properties of SrB₂C₂

GUO Hua, WANG Fan, ZHENG Baobing

2026, 40(1): 010108. doi: 10.11858/gywlxb.20251148

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Quantification of Uncertainty in Magnesium Oxide and Rhenium Pressure Standards Based on Bayesian Statistical Methods

DAI Feifan, XIANG Shikai, LI Weiwei, ZHANG Ruizhi, ZHANG Jian, LUO Guoqiang, WU Run, XIAN Yunting

2026, 40(1): 010109. doi: 10.11858/gywlxb.20251056

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Sponsored by:Topical Committee of High Pressure of Chinese Physical Society Sichuan Physical Society

AI-Powered Frontiers in High-Temperature and High-Pressure Physics

Molecular Dynamics Simulation of Micro-Jetting and Spallation in Helium-Bubble Copper under Double Supported Shocks

Advances in the Application of Machine Learning Potential to the Calculation of Mineral States and Properties in the Earth’s Deep Interior

A Review of Machine Learning Potentials in the Study of Materials Properties

The Disappearing Quartz-Coesite Path: the Phase Transition Mechanism of Silicon Dioxide from Machine Learning Simulations

Translational-Rotational Decoupling Dynamics of High-Pressure Liquid Water under Quasi-Isentropic Compression

Viscosity of Iron-Sulfur Alloy under the Conditions of the Earth Inner Core Calculated Based on the Neural Network Potential

A Machine Learning Potential Model for Simulating Dynamic Mechanical Response of Pb-Sn Alloy

First-Principles Study on the Multiphase Equation of State of Tin

High-Pressure Study on Structural Phase Transformation and Physical Properties of SrB₂C₂

Quantification of Uncertainty in Magnesium Oxide and Rhenium Pressure Standards Based on Bayesian Statistical Methods

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