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20162026
most citedDeep Neural Networks for Accurate Predictions of Garnet Stability

268 citations · 362 across the 8 of their papers we have counts for

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7 papers · 1 filter

cond-mat.mtrl-sci2026

Melt-Quench Failures and Practical Solutions for Universal Machine-Learning Interatomic Potentials in Amorphous Structure Generation

Shuwei Li, Yuqi An, Xingyu Guo +2

Generating experimentally relevant amorphous structures via melt-quench molecular dynamics is prohibitively expensive at the first-principles level. Universal machine-learning inte…

cond-mat.mtrl-sci2026

Predicting Novel Stable Materials for Experimental Synthesis

Yuqi An, Sihong Zhu, Joseph Montoya +2

Machine-learning-accelerated materials discovery has yielded large numbers of computationally stable compounds, yet many remain experimentally unrealized, underscoring a persistent…

cond-mat.mtrl-sci2026★ 1 cited

Accelerating Complex Materials Discovery with Universal Machine-Learning Potential-Driven Structure Prediction

Yuqi An, Zhenbin Wang

Universal machine-learning interatomic potentials (uMLIPs) have become powerful tools for accelerating computational materials discovery by replacing expensive first-principles cal…

cond-mat.mtrl-sci2026

Are Universal Potentials Ready for Alkali-Ion Battery Kinetics?

Xingyu Guo, Cheng Gui, Zhenbin Wang

Accelerating alkali-ion battery discovery requires accurate modeling of atomic-scale kinetics, yet the reliability of universal machine learning interatomic potentials (uMLIPs) in…

cond-mat.mtrl-sci2019

Unified Theory of Thermal Quenching in Inorganic Phosphors

Mahdi Amachraa, Zhenbin Wang, Hanmei Tang +4

We unify two prevailing theories of thermal quenching (TQ) in rare-earth-activated inorganic phosphors - the cross-over and auto-ionization mechanisms - into a single predictive mo…

cond-mat.mtrl-sci2017★ 268 cited

Deep Neural Networks for Accurate Predictions of Garnet Stability

Weike Ye, Chi Chen, Zhenbin Wang +2

Predicting the stability of crystals is one of the central problems in materials science. Today, density functional theory (DFT) calculations are the computational tool of choice t…

cond-mat.mtrl-sci2016★ 93 cited

Electronic Structure Descriptor for Discovery of Narrow-Band Red-Emitting Phosphors

Zhenbin Wang, Iek-Heng Chu, Fei Zhou +1

Narrow-band red-emitting phosphors are a critical component in phosphor-converted light-emitting diodes for highly efficient illumination-grade lighting. In this work, we report th…