Zhihao Feng
Founding Engineer in San Francisco · Physics-informed ML & simulation, from research to systems
I am building a San Francisco startup as a founding engineer. Computational researcher building physics-grounded ML and simulation workflows spanning DFT, TDDFT, atomistic MD, and coarse-grained MD, especially for polymer semiconductors and sustainable polymers. Developed a physics-informed PRISM surrogate from 370+ GB CGMD data (∼400 systems; SANS-validated; >90% benchmark wins; 60% less training data) and built pyForceTune to optimize force fields against DFT reference data (46% lower binding-energy error; <0.1 kcal/mol dihedral error).
ACS PMSE Emerging Professionals Scholar 2026 — 1 of 15 selected
Skills — Agentic AI, simulation stack, HPC
- Agentic AIMulti-agent LLM systems (Claude), closed-loop experiment orchestration, agent harness engineering, structured group debate, knowledge graphs, LLM tool use & MCP
- LanguagesPython, R, Bash, Git
- Key LibrariesTensorFlow, scikit-learn, XGBoost, Optuna, RDKit, Pyomo, SciPy, MDAnalysis, MatterTune
- InfrastructureHPC/Slurm, GPU computing
- SoftwareSchrödinger/Maestro/Jaguar, Gaussian, VASP, Materials Studio, LAMMPS, 2PT
- DomainsPhysics-informed ML, DFT, TDDFT, force-field development, MLIP (UMA & MACE), molecular dynamics (atomistic & coarse-grained), PRISM theory, polymer semiconductors, sustainable polymers
News
- First-author paper accepted in The Journal of Chemical Physics: a machine learning closure for polymer integral equation theory.
- Co-first and corresponding author paper accepted in Joule: disentangling how oxygen and water degrade non-fullerene organic solar cells.
- Co-first-author paper published in ACS Nano: programming intraparticle ordering in organic photocatalyst nanoparticles.
- Gave an invited talk at the PMSE Emerging Professionals Symposium at ACS Fall 2026 in Chicago.
- Joined a San Francisco startup as a Founding Engineer.
- Named an ACS PMSE Emerging Professionals Scholar — 1 of 15 selected.
- Co-first-author paper published in Materials Horizons: redefining molecular design and exciton dynamics in single-component organic photocatalysts.
Publications
Google Scholar →-
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Programming Intraparticle Ordering in Y6-Derived Organic Photocatalyst Nanoparticles for Efficient Solar Hydrogen Evolution
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Redefining Molecular Design and Exciton Dynamics in Single-Component Organic Photocatalysts for Efficient Solar-to-Hydrogen Conversion
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Synthesis and properties of colored waterborne polyurethanes containing a uracil azo moiety: Experimental and computational study
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Revealing the Crystallization Pathways of Mixed‐Halide Low‐Dimensional Perovskites: A First Step Toward Solar Cell Applications
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A Machine Learning Closure for Polymer Integral Equation Theory
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Virtual High-Throughput Screening of Vapor-Deposited Amphiphilic Polymers for Inhibiting Biofilm Formation
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Reduced Holey Graphene Oxide Membranes for Desalination with Improved Water Permeance
Awards & Honors
- ACS PMSE Emerging Professionals Scholar — 1 of 15 selected2026
- Amyn S. Teja International Research Endowment Fund2025
- National Renewable Energy Laboratory Computational Allocation Award2025
- Center for Organic Photonics and Electronics Best Poster Award2024
- Paul Scherrer Institute Beamtime Allocation Award2024
- Student Polymer Network Poster Runner-up2023
- Ph.D. Student Exemplary Achievement Award2022
More awards
- College of Engineering Travel Award2024
- Dean’s Achievement Award2019
- Academic Excellence in Chemistry Award2019
- North American Membrane Society Travel Award2019
- School of Engineering and Applied Sciences Scholarship2019
- Dean’s List2018–2019
- Excellent Student Association Leader2017
- Campus Tennis Runner-up2015
Professional Services
- Student Leader, National Science Foundation DMREF (GT, NCSU, and NIST)2024–2026
- Maintainer, Natalie Stingelin Group Website2024–2025
- Member, SPIE Student Chapter2024–2025
- Member, School of Chemical and Biomolecular Engineering Safety Council2022–2023
- Student Chair, Student Association2016–2017
Education
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Ph.D. Chemical Engineering • Minor: Data Science for the Chemical IndustryGeorgia Institute of Technology · Aug 2021 – Dec 2025; Advisors: Seung Soon Jang & Natalie Stingelin -
M.S. Chemical Engineering • Focus: Machine LearningCornell University · Aug 2019 – Jun 2021; Advisors: Rong Yang & Jeffrey D. Varner -
B.S. / B.A. Chemical Engineering & Chemistry (Summa Cum Laude)University at Buffalo, SUNY · Aug 2017 – May 2019; Advisor: Haiqing Lin
Presentations & Conferences
17th International Conference on Organic Electronics (ICOE 2025) — Coimbra, Portugal
ACS Fall 2024 — Denver, CO, USA
6 more talks
GT Center for Organic Photonics and Electronics Spring Workshop (COPE) — Atlanta, GA, USA
APS March Meeting 2024 — Minneapolis, MN, USA
GT 9th Annual Research Symposium 2023 — Atlanta, GA, USA
APS March Meeting 2023 — Las Vegas, NV, USA
AIChE Annual Meeting 2021 — Boston, MA, USA
North American Membrane Society Annual Meeting 2019 — Pittsburgh, PA, USA
Get in touch
Contact
Currently a founding engineer at a San Francisco startup — happy to compare notes with builders, founders, and people working on hard ML problems.
zf99@cornell.edu