Victor Fung
Scholar

Victor Fung

Google Scholar ID: 2QsddMIAAAAJ
Assistant Professor, Computational Science and Engineering, Georgia Institute of Technology
Materials discoveryMaterials informaticsComputational Materials Science
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Citations & Impact
All-time
Citations
5,028
 
H-index
41
 
i10-index
59
 
Publications
20
 
Co-authors
0
 
Contact
Emailvictorfung@gatech.eduTwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
6 items
The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry
2026
Cited
0
Reasoning-Driven Design of Single Atom Catalysts via a Multi-Agent Large Language Model Framework
2026
Cited
0
Facet: highly efficient E(3)-equivariant networks for interatomic potentials
2025
Cited
0
RoFt-Mol: Benchmarking Robust Fine-Tuning with Molecular Graph Foundation Models
2025
Cited
0
MatterTune: An Integrated, User-Friendly Platform for Fine-Tuning Atomistic Foundation Models to Accelerate Materials Simulation and Discovery
2025
Cited
0
Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery
2025
Cited
0
Resume
Background
  • Lead of the Fung Group at Georgia Tech CSE
  • Focuses on harnessing computing and machine learning to accelerate the discovery of new materials
  • Aims to realize materials through inverse design, building them atom-by-atom
  • Develops novel methods and tools that integrate chemical information for atomic-scale modeling
  • Works to establish automated, data-driven, and domain-informed ecosystems for materials and chemical discovery
  • Leads a highly interdisciplinary and collaborative research group