Chinese Journal of High Pressure Physics Publishing Language: Chinese Open Access Editor-in-Chief: MA Yanming
Volume 40 Issue 1, January 2026
AI-Powered Frontiers in High-Temperature and High-Pressure Physics
Open Access
Preface of AI-Powered Frontiers in High-Temperature and High-Pressure Physics
Published: 05 January 2026
2026, 40(1)
Open Access
Advances in the Application of Machine Learning Potential to the Calculation of Mineral States and Properties in the Earth’s Deep Interior
Published: 05 January 2026
2026, 40(1)
Open Access
A Review of Machine Learning Potentials in the Study of Materials Properties
Published: 05 January 2026
2026, 40(1)
Open Access
The Disappearing Quartz-Coesite Path: the Phase Transition Mechanism of Silicon Dioxide from Machine Learning Simulations
Published: 05 January 2026
2026, 40(1)
Open Access
Translational-Rotational Decoupling Dynamics of High-Pressure Liquid Water under Quasi-Isentropic Compression
Published: 05 January 2026
2026, 40(1)
Open Access
Viscosity of Iron-Sulfur Alloy under the Conditions of the Earth Inner Core Calculated Based on the Neural Network Potential
Published: 05 January 2026
2026, 40(1)
Open Access
A Machine Learning Potential Model for Simulating Dynamic Mechanical Response of Pb-Sn Alloy
Published: 05 January 2026
2026, 40(1)
Open Access
First-Principles Study on the Multiphase Equation of State of Tin
Published: 05 January 2026
2026, 40(1)
Open Access
High-Pressure Study on Structural Phase Transformation and Physical Properties of SrB2C2
Published: 05 January 2026
2026, 40(1)
Open Access
Quantification of Uncertainty in Magnesium Oxide and Rhenium Pressure Standards Based on Bayesian Statistical Methods
Published: 05 January 2026
2026, 40(1)