Lai Wei - RankMe

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Facet: highly efficient E(3)-equivariant networks for interatomic potentials. CoRR Nicholas Miklaucic, Lai Wei, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Qingyang Li, Sourin Dey, Victor Fung, Jianjun Hu
2025	J	`jnl`	Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control. CoRR Sadman Sadeed Omee, Lai Wei, Sourin Dey, Jianjun Hu
2024	J	`jnl`	AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning. CoRR Yuqi Song, Rongzhi Dong, Lai Wei, Qin Li, Jianjun Hu
2023	J	`jnl`	Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm. CoRR Sadman Sadeed Omee, Lai Wei, Jianjun Hu
2023	J	`jnl`	Global Mapping of Structures and Properties of Crystal Materials. J. Chem. Inf. Model. Qinyang Li, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Lai Wei, Jianjun Hu
2023	J	`jnl`	Material transformers: deep learning language models for generative materials design. Mach. Learn. Sci. Technol. Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
2023	J	`jnl`	Probabilistic generative transformer language models for generative design of molecules. J. Cheminformatics Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu
2022	J	`jnl`	Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials. CoRR Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Edirisuriya M. Dilanga Siriwardane, Fanglin Chen, Jianjun Hu
2022	J	`jnl`	Materials Transformers Language Models for Generative Materials Design: a benchmark study. CoRR Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
2022	J	`jnl`	Probabilistic Generative Transformer Language models for Generative Design of Molecules. CoRR Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu
2022	J	`jnl`	Scalable deeper graph neural networks for high-performance materials property prediction. Patterns Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu
2021	J	`jnl`	Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks. CoRR Nghia Nguyen, Steph-Yves M. Louis, Lai Wei, Kamal Choudhary, Ming Hu, Jianjun Hu
2021	J	`jnl`	Scalable deeper graph neural networks for high-performance materials property prediction. CoRR Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu