activity
20192026
most citedAI-driven inverse design of materials: Past, present and future

72 citations · 300 across the 34 of their papers we have counts for

collaborators
Showing 2026Show all

11 papers · 1 filter

cond-mat.supr-con2026

Screening phonon-mediated superconductors from static orbital Hamiltonians

Jian-Feng Zhang, Ze-Feng Gao, Xiao-Qi Han +6

The first-principles search for superconductors is severely limited by the high cost of electron-phonon coupling (EPC) calculations. Here we develop a low-cost, physically transpar…

cond-mat.mtrl-sci2026

Twist-induced magnetic topological phase transition in stacked altermagnetic CrO

Zi-Hao Ding, Ze-Feng Gao, Xiang-Hua Kong +2

Interlayer twisting offers a geometric route to controlling electronic states, but whether it can simultaneously reconstruct magnetic symmetry and band topology remains unclear. He…

cond-mat.mtrl-sci2026

Emergent d-wave altermagnetism in chlorine-adsorbed FeSe monolayer

Zi-Hao Ding, Ze-Feng Gao, Kai Liu +2

The recent emergence of altermagnetism has opened new frontiers in condensed matter physics, yet material platforms capable of hosting both intrinsic altermagnetic order and superc…

cond-mat.mtrl-sci2026

PhononScore: a phonon-aware scoring function for dynamical stability

Xiao-Qi Han, Ze-Feng Gao, Zhong-Yi Lu

In recent years, crystal generation models have enabled the design of massive numbers of candidate materials. However, the lack of dynamical stability among generated structures ha…

cond-mat.str-el2026

NQS-Agent: Health-Aware Agentic Hyperparameter Optimization for Neural-Network Quantum States

Jia-Qi Wang, Xiao-Qi Han, Ze-Feng Gao +2

Neural-network quantum states (NQS) provide expressive variational representations for strongly correlated quantum many-body systems, but their practical accuracy depends sensitive…

cond-mat.mtrl-sci2026

InvDesMobility: a reliability-gated first-principles feedback framework for closed-loop materials discovery

Wen-Kao Li, Ze-Feng Gao, Peng-Jie Guo +2

Inverse materials design starts from target functionality and searches for structures that can realize it. Its value in closed-loop discovery depends not only on prediction perform…

cs.AI2026

PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability

Wen-Kao Li, Ze-Feng Gao, Zhong-Yi Lu

Imaginary phonon modes remain a practical bottleneck in computational materials screening because otherwise plausible structures can be locally dynamically unstable under a chosen…

cs.LG2026

LEAP: A closed-loop framework for perovskite precursor additive discovery

Xin-De Wang, Zhi-Rui Chen, Ze-Feng Gao +3

Efficient discovery of precursor additives is essential for improving the performance of perovskite solar cells, yet the large chemical space makes conventional trial-and-error scr…

cs.LG2026

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation

Jing Gao, Zhong-Yi Lu, Pan Zhang +1

Adapting large language models (LLMs) to downstream tasks via full fine-tuning is increasingly impractical due to its computational and memory demands. Parameter-efficient fine-tun…

cond-mat.mtrl-sci2026

Ultrafast optical route to coupled ferroelectric and altermagnetic switching

Yuhao Gu, Yu-Hui Song, Peng-Jie Guo +5

Exploring novel magnetoelectric coupling mechanisms to achieve control of ferroelectric polarization and magnetism is highly significant for both fundamental science and electronic…

cond-mat.mtrl-sci2026

Bridging Crystal Structure and Material Properties via Bond-Centric Descriptors

Jian-Feng Zhang, Ze-Feng Gao, Xiao-Qi Han +7

Although chemical bonding is the fundamental mechanistic bridge connecting atomic structure to macroscopic material properties, current data-driven materials science largely treats…