Victor Fung
Assistant Professor
Uses machine learning and high-performance computing to accelerate chemical and materials discovery.
Victor Fung's lab at Georgia Tech works on proteins, drugs & materials and distributed, cloud & edge systems. 9 papers since 2023. 8 PhD students. 11 alumni, most often to a startup. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 0%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 11
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 1 papers2024 · T1 0
- 8 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials1 paper
- chemical1 paper
- Distributed, cloud & edge systems0 papers
- materials discovery0 papers
- uses machine0 papers
Paper list
From the lab homepage.
20241 paper
- Proceedings of the IEEE/CVF Winter Conference on Applications of Computer VisionOn the Quantification of Image Reconstruction Uncertainty Without Training Data
20238 papers
- Association for the Advancement of Artificial IntelligenceAccelerating Inverse Learning via Intelligent Localization with Exploratory Sampling
- Nature Catalysis 6, 895-905H2-reduced phosphomolybdate promotes room-temperature aerobic oxidation of methane to methanol (opens in a new tab)
- The Journal of Chemical PhysicsHydrogen-mediated polarity compensation on the (110) surface terminations of ABO3 perovskites (opens in a new tab)
- Machine Learning: Science and Technology 4, 035030Improving materials property predictions for graph neural networks with minimal feature engineering (opens in a new tab)
- Chemistry of Materials 35, 2456-2462In Situ Neutron Scattering Study of the Structure Dynamics of the Ru/Ca2N: e- Catalyst in Ammonia Synthesis (opens in a new tab)
- Catalysis Today 416, 113672Revealing the interplay between “intelligent behavior” and surface reconstruction of non-precious metal doped SrTiO3 catalysts during methane combustion (opens in a new tab)
- Journal of Chemical Theory and Computation 19, 6471-6483Toward Quantum Chemical Free Energy Simulations of Platinum Nanoparticles on Titania Support (opens in a new tab)
- The Journal of Physical Chemistry C 19, 6471-6483Toward Understanding and Controlling Organic Reactions on Metal Oxide Catalysts (opens in a new tab)
Where alumni went11 listed, 100% to industry
Industry 1Academia 0
Most often to
- a startup
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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- The lab homepage
- Members
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