Shenglin Huang

1. Statistical-Physics-Informed Neural Networks (Stat-PINNs): A Machine Learning Strategy for Coarse-graining Dissipative Dynamics
   2023/12/10 by Shenglin Huang, Zequn He, Huang, Shenglin +7 · 8 citations
   Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #FOS: Physical sciences #Machine Learning in Materials Science #Model Reduction and Neural Networks #Protein Structure and Dynamics #Statistical Mechanics (cond-mat.stat-mech)
2. Promotion of tumor-associated macrophages infiltration by elevated neddylation pathway via NF-κB-CCL2 signaling in lung cancer
   2019/06/26 by Lisha Zhou, Yanyu Jiang, Xiaojun Liu +15 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Immunology and Microbiology · #Immune Cell Function and Interaction #Immune cells in cancer #Ubiquitin and proteasome pathways
3. Bridging statistical mechanics and thermodynamics away from equilibrium: a data-driven approach for learning internal variables and their dynamics
   2025/01/29 by Weilun Qiu, Shenglin Huang, Qiu, Weilun +3 · 3 citations
   Physics and Astronomy · Materials Science · #Advanced Thermodynamics and Statistical Mechanics #Machine Learning in Materials Science #Statistical Mechanics and Entropy