most citedMaterials Generation in the Era of Artificial Intelligence: A Comprehensive Survey

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

A self-learning scientific agent for X-ray diffraction

Bin Cao, Huichi Zhou, Runyu Yang +7

A central challenge for scientific agents is to turn analytical experience into reusable expertise grounded in physical evidence. Here we introduce Gan Jiang, a self-learning agent…

cond-mat.mtrl-sci2026

XMatcher: An Open-Source Framework for X-Ray Diffraction Phase Identification

Bin Cao

Powder X-ray diffraction (XRD) is widely used for crystalline phase identification, and recent machine learning approaches have demonstrated remarkable capabilities in accelerating…

cs.AI2026

XDecomposer: Learning Prior-Free Set Decomposition for Multiphase X-ray Diffraction

Hanyu Gao, Bin Cao, Yunyue Su +2

Multiphase powder X-ray diffraction (PXRD) analysis remains a fundamental bottleneck in structure identification, as real-world synthesis often produces complex mixtures whose cons…

cond-mat.mtrl-sci2025

Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction

Bin Cao, Yang Liu, Longhan Zhang +6

Crystal property prediction, governed by quantum mechanical principles, is computationally prohibitive to solve exactly for large many-body systems using traditional density functi…

cond-mat.mtrl-sci2025★ 2 cited

Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey

Zhixun Li, Bin Cao, Rui Jiao +9

Materials are the foundation of modern society, underpinning advancements in energy, electronics, healthcare, transportation, and infrastructure. The ability to discover and design…