Scholar
Ni Zhan
Google Scholar ID: 6hUIfZoAAAAJ
Postdoc in CS, Princeton University
Citations & Impact
Citations
49
H-index
3
i10-index
2
Publications
14
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- "Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrodinger Equation" (Preprint, 2025)
- "Practical Application of Machine Learning in Catalysis" (Royal Society of Chemistry, 2024)
- "Model-Specific to Model-General Uncertainty for Physical Properties" (Industrial & Engineering Chemistry Research, 2021)
- PhD Dissertation: "Machine Learning Models and Uncertainty for Atomic Simulations" (2021)
- "Origin of the Stokes-Einstein Deviation in Liquid Al-Si" (Molecular Simulation, 2021)
- "Uncertainty quantification in machine learning and nonlinear least squares regression models" (AIChE Journal, 2021)
- "Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits" (NeurIPS Workshop on ML for Economic Policy, 2020)
- "Graphical models for financial time series and portfolio selection" (International Conference on AI in Finance, 2020)
- Contributed to "Modeling Superalloys using Machine Learned Potential", included as a chapter in PhD dissertation
- Presented talks at major conferences including ACS, AIChE, ICAI Finance, and Toronto Machine Learning Society
