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Jianjun Hu — most-cited papers & profile · AI for Science
← authors
·
overview
Jianjun Hu
17
papers ·
38
citations ·
45
h-index
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Most-cited papers
Discovery of 2D materials using Transformer Network based Generative Design
2023 · 14 citations
Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials
2022 · 7 citations
Active learning based generative design for the discovery of wide bandgap materials
2021 · 3 citations
Materials Transformers Language Models for Generative Materials Design: a benchmark study
2022 · 3 citations
MLatticeABC: Generic Lattice Constant Prediction of Crystal Materials using Machine Learning
2020 · 2 citations
Physics guided deep learning generative models for crystal materials discovery
2021 · 2 citations
Probabilistic Generative Transformer Language models for Generative Design of Molecules
2022 · 2 citations
Out-of-distribution materials property prediction using adversarial learning based fine-tuning
2024 · 2 citations
Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control
2025 · 1 citations
Contact Map based Crystal Structure Prediction using Global Optimization
2020 · 1 citations
Composition based oxidation state prediction of materials using deep learning
2022 · 1 citations
Facet: highly efficient E(3)-equivariant networks for interatomic potentials
2025
Computational discovery of new 2D materials using deep learning generative models
2020
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
2022
Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm
2023
Top co-authors
Rongzhi Dong
· 7
Yuqi Song
· 7
Lai Wei
· 5
Nihang Fu
· 5
Sadman Sadeed Omee
· 4
Edirisuriya M. D. Siriwardane
· 3
Yong Zhao
· 3
Edirisuriya M. Dilanga Siriwardane
· 2
Qinyang Li
· 2
Wenhui Yang
· 2
Yuxin Li
· 2
Alireza Nasiri
· 1
Topics
Materials
Chemistry
Physics ML
Drug Discovery