3 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.chem-ph2022
Designing novel protein structures using sequence generator and AlphaFold2
Xeerak Agha, Nihang Fu, Jianjun Hu
Protein structures and functions are determined by a contiguous arrangement of amino acid sequences. Designing novel protein sequences and structures with desired geometry and func…
cond-mat.mtrl-sci2022★ 3 cited
Materials Transformers Language Models for Generative Materials Design: a benchmark study
Nihang Fu, Lai Wei, Yuqi Song +6
Pre-trained transformer language models on large unlabeled corpus have produced state-of-the-art results in natural language processing, organic molecule design, and protein sequen…
cond-mat.mtrl-sci2021
Semi-supervised teacher-student deep neural network for materials discovery
Daniel Gleaves, Edirisuriya M. Dilanga Siriwardane, Yong Zhao +2
Data driven generative machine learning models have recently emerged as one of the most promising approaches for new materials discovery. While the generator models can generate mi…