1. 高压评述

2. 高压结构与物性实验研究

3. 高压理论与计算研究

4. 机器学习

5. 新材料合成

6. 高压技术

7. 高压下金属的动态响应

8. 高压下复合材料和超材料的动态响应

9. 高压下含能材料的性质及响应

10. 高压应用-燃气爆炸

11. 高压科学应用-脆性材料

12. 高压科学应用-混凝土

The study of material properties under dynamic loading is a key focus in both scientific and industrial communities, serving as a crucial foundation for breakthroughs in areas such as national defense and advanced manufacturing. Existing research often follows the conventional sequence of "material design – static testing – dynamic analysis," overlooking the fundamental differences in material behavior under static versus dynamic conditions. Factors such as pressure and strain rate under dynamic loading can significantly influence phase transitions, strength, and failure modes, ultimately impacting material design and application.

Traditional approaches, relying on isolated experiments and empirical models, are not only time-consuming but also limited in establishing comprehensive relationships between material composition, microstructure, and macroscopic performance under dynamic/static loading. With the rapid advancement of artificial intelligence, machine learning and high-throughput technologies are transforming research across disciplines. By integrating machine learning algorithms—such as big data analytics and advanced modeling techniques—with high-throughput methods, including high-throughput experiments, simulations, and testing, researchers can overcome traditional limitations. This synergy not only accelerates material design but also enables effective handling of multi-feature, weakly correlated, and high-dimensional data. It facilitates deep exploration of material evolution from the atomic scale to macroscopic failure under dynamic loading, gradually shaping a new research paradigm: "high-throughput simulation/experimentation – machine learning modeling – theoretical validation." This approach is driving the field toward intelligent and precise research.

This special issue aims to showcase and discuss how machine learning and high-throughput technologies are fostering innovation in the study of material properties under dynamic loading. Through the platform of the Chinese Journal of High Pressure Physics, we present recent advances in this area, hoping to inspire more researchers in high-pressure science to engage in machine learning and high-throughput studies.

Finally, we extend our sincere gratitude to all authors, reviewers, and editorial colleagues for their dedicated efforts in preparing this special issue. Their professionalism and rigorous work have been essential to its successful publication.

LUO Guoqiang, ZHANG Jian

 Wuhan University of Technology

October 13， 2025

The perovskite structure is commonly observed in diverse functional materials, including ferroelectric ceramics, fuel cell electrodes, and solar cell materials. Originally identified in the mineral calcium titanate (CaTiO₃), from which it derives its name, "perovskite" now broadly encompasses compounds adopting this archetypal structure or its distorted variants. Perovskites follow the general formula ABX₃, where: The A-site is occupied by a larger cation (e.g., alkali metal, alkaline earth metal, rare-earth ion) or bulky atomic group; The B-site hosts a smaller transition metal cation; The X-site is an anion (e.g., halide or chalcogenide ion).

Owing to their compositional flexibility, perovskite materials exhibit rich chemical diversity and numerous derivative structures. Variations in ionic radii can stabilize ideal cubic, tetragonal, orthorhombic, or trigonal symmetries. Their high structural tolerance permits extensive ion substitution at A-, B-, or X-sites and accommodates nonstoichiometry, enabling tailored properties through controlled structural engineering.

Perovskites remain a focal point in both fundamental research and technological applications, with breakthroughs continuously emerging. Similar to temperature and chemical composition, pressure is a pivotal parameter for modulating structure and properties. Under high pressure, reduced interatomic distances intensify interactions, altering crystal and electronic structures to establish novel equilibrium states. High pressure facilitates: Stabilization of dense perovskite phases (e.g., BaRuO₃ synthesized at 18 GPa); Emergence of unusual valence states (e.g., Cu³⁺ in LaCuO₃). Differential compressibility of A–X and B–X bonds induces structural rearrangements under compression, yielding diverse physical phenomena.

To highlight the role of high pressure in synthesizing perovskites and tuning their structures and functionalities, Chinese Journal of High Pressure Physics presents this Special Topic. Contributions explore pressure-driven structural and property evolution in systems including BaMO₃ and PbMO₃ (M = transition metal), NaPO₃, ReO₃, and halide perovskites. We anticipate this topic will engage the high-pressure science community in advancing perovskite research. We extend our gratitude to all contributors and reviewers for their dedication to this Special Topic.

Zhi-Guo Liu

School of Physics, Harbin Institute of Technology