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Predicting Lattice Vibrational Frequencies Using Deep Graph Neural Networks.
ACS Omega. 2022 Jul 21;7(30):26641-26649. doi: 10.1021/acsomega.2c02765. eCollection 2022 Aug 2.
ACS Omega. 2022.
PMID: 35936410
Free PMC article.
Accurate Prediction of Voltage of Battery Electrode Materials Using Attention-Based Graph Neural Networks.
Louis SY, Siriwardane EMD, Joshi RP, Omee SS, Kumar N, Hu J.
Louis SY, et al.
ACS Appl Mater Interfaces. 2022 Jun 6. doi: 10.1021/acsami.2c00029. Online ahead of print.
ACS Appl Mater Interfaces. 2022.
PMID: 35666275
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Scalable deeper graph neural networks for high-performance materials property prediction.
Omee SS, Louis SY, Fu N, Wei L, Dey S, Dong R, Li Q, Hu J.
Omee SS, et al. Among authors: louis sy.
Patterns (N Y). 2022 Apr 27;3(5):100491. doi: 10.1016/j.patter.2022.100491. eCollection 2022 May 13.
Patterns (N Y). 2022.
PMID: 35607621
Free PMC article.
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Deep learning pan-specific model for interpretable MHC-I peptide binding prediction with improved attention mechanism.
Jin J, Liu Z, Nasiri A, Cui Y, Louis SY, Zhang A, Zhao Y, Hu J.
Jin J, et al. Among authors: louis sy.
Proteins. 2021 Jul;89(7):866-883. doi: 10.1002/prot.26065. Epub 2021 Mar 18.
Proteins. 2021.
PMID: 33594723
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Graph convolutional neural networks with global attention for improved materials property prediction.
Louis SY, Zhao Y, Nasiri A, Wang X, Song Y, Liu F, Hu J.
Louis SY, et al.
Phys Chem Chem Phys. 2020 Aug 24;22(32):18141-18148. doi: 10.1039/d0cp01474e.
Phys Chem Chem Phys. 2020.
PMID: 32766627
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