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Jianjun Hu
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Cited by
Year
Towards quantitative evaluation of crystal structure prediction performance
L Wei, Q Li, SS Omee, J Hu
Computational Materials Science 235, 112802, 2024
12024
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study
SS Omee, N Fu, R Dong, M Hu, J Hu
arXiv preprint arXiv:2401.08032, 2024
2024
Physics guided dual Self-supervised learning for structure-based materials property prediction
N Fu, L Wei, J Hu
arXiv preprint arXiv:2401.05223, 2024
2024
Realistic material property prediction using domain adaptation based machine learning
J Hu, D Liu, N Fu, R Dong
Digital Discovery, 2024
12024
Probabilistic generative transformer language models for generative design of molecules
L Wei, N Fu, Y Song, Q Wang, J Hu
Journal of Cheminformatics 15 (1), 1-15, 2023
62023
Evolutionary Machine Learning in Science and Engineering
J Hu, Y Song, SS Omee, L Wei, R Dong, S Gianey
Handbook of Evolutionary Machine Learning, 535-561, 2023
2023
Deep Learning-Based Classification of Gamma Photon Interactions in Room-Temperature Semiconductor Radiation Detectors
SK Chaudhuri, Q Li, KC Mandal, J Hu
arXiv preprint arXiv:2311.00682, 2023
2023
Generative Design of inorganic compounds using deep diffusion language models
R Dong, N Fu, J Hu
arXiv preprint arXiv:2310.00475, 2023
2023
Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm
SS Omee, L Wei, J Hu
arXiv preprint arXiv:2309.06710, 2023
22023
Composition Based Oxidation State Prediction of Materials Using Deep Learning Language Models.
N Fu, J Hu, Y Feng, G Morrison, HZ Loye
Advanced Science (Weinheim, Baden-wurttemberg, Germany), e2301011-e2301011, 2023
22023
Improving realistic material property prediction using domain adaptation based machine learning
J Hu, D Hu, N Fu, R Dong
arXiv preprint arXiv:2308.02937, 2023
2023
MD-HIT: Machine learning for materials property prediction with dataset redundancy control
Q Li, N Fu, SS Omee, J Hu
arXiv preprint arXiv:2307.04351, 2023
2023
Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic Materials
J Hu, Y Zhao, Q Li, Y Song, R Dong, W Yang, EMD Siriwardane
ACS Omega, 2023
42023
Screening Outstanding Mechanical Properties and Low Lattice Thermal Conductivity Using Global Attention Graph Neural Network
J Ojih, A Rodriguez, J Hu, M Hu
Energy and AI, 100286, 2023
72023
Multi-Head multimodal deep interest recommendation network
M Yang, P Zhou, S Li, Y Zhang, J Hu, A Zhang
Knowledge-Based Systems, 110689, 2023
42023
Materials property prediction with uncertainty quantification: A benchmark study
D Varivoda, R Dong, SS Omee, J Hu
Applied Physics Reviews 10 (2), 2023
142023
Physics guided deep learning for generative design of crystal materials with symmetry constraints
Y Zhao, EMD Siriwardane, Z Wu, N Fu, M Al-Fahdi, M Hu, J Hu
npj Computational Materials 9 (1), 38, 2023
122023
Global mapping of structures and properties of crystal materials
Q Li, R Dong, N Fu, SS Omee, L Wei, J Hu
Journal of Chemical Information and Modeling, 2023
32023
Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table
A Rodriguez, C Lin, H Yang, M Al-Fahdi, C Shen, K Choudhary, Y Zhao, ...
npj Computational Materials 9 (1), 20, 2023
52023
Discovery of 2D materials using Transformer Network based Generative Design
R Dong, Y Song, E Siriwardane, J Hu
arXiv preprint arXiv:2301.05824, 2023
12023
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