Wilton Kort-Kamp is a Staff Scientist at Los Alamos National Laboratory focused on integrating AI, theoretical physics, and computational modeling to accelerate the discovery, design, and understanding of functional materials and nanoscale systems. His work spans foundation and generative models, autonomous scientific workflows, active learning, inverse design, and AI-enhanced experiments. He also develops multiphysics and multiscale simulations and analytical theories for energy systems, nanophotonics, and quantum and topological materials.
Expertise
- Artificial Intelligence for Materials Discovery: Foundation and generative models, chemical language models, active learning, and inverse design for functional materials
- Agentic and Autonomous Science: Large language model agents and multi-agent systems that plan, execute, and analyze simulations and experiments
- Machine learning-Enhanced Experiments: Uncertainty quantification, Bayesian optimization, design of experiments, and learning from multimodal data
- Multiphysics and Multiscale Modeling: Simulations of reactive transport, charge and heat transfer, fluid flow, electromagnetic phenomena, and mechanical response in complex materials
- Nanophotonics and Quantum Optics: Modeling and simulation of photonic nanostructures, nonlinear optics, thermal radiation, and quantum light-matter interactions
- Quantum and Topological Materials: Analytical theory of Dirac systems, moiré superlattices, van der Waals materials, topological phases, and ultrafast dynamics
Capabilities
- AI-Enabled Materials Discovery and Inverse Design
- Generative Models, Foundation Models, and Autonomous Scientific Workflows
- High-Throughput Quantum Chemistry, Active Learning,and AI-Enhanced Experiments
- Computational Nanophotonics and Quantum-Materials Theory
Education
- PhD, Physics, Universidade Federal do Rio de Janeiro
- BSc, Physics, Universidade Federal do Rio de Janeiro
Awards
- LANL Early Career Research Award, 2019
- LANL Leon Heller Publication Prize in Theoretical Physics, 2018
Best PhD Thesis in Astronomy and Physics, Brazilian Ministry of Education, 2016
