Lai Wei

Orcid: 0000-0003-0344-8540

Affiliations:
  • University of South Carolina, Department of Computer Science and Engineering, Columbia, SC, USA


According to our database1, Lai Wei authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

Online presence:

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Bibliography

2024
AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning.
CoRR, 2024

2023
Probabilistic generative transformer language models for generative design of molecules.
J. Cheminformatics, December, 2023

Global Mapping of Structures and Properties of Crystal Materials.
J. Chem. Inf. Model., June, 2023

Material transformers: deep learning language models for generative materials design.
Mach. Learn. Sci. Technol., March, 2023

Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm.
CoRR, 2023

2022
Scalable deeper graph neural networks for high-performance materials property prediction.
Patterns, 2022

Materials Transformers Language Models for Generative Materials Design: a benchmark study.
CoRR, 2022

Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials.
CoRR, 2022

2021
Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks.
CoRR, 2021


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