Daniel King
Graduate Student
Term of Engagement: 2019 ->
Research Areas
Catalysis, Electronic Structure, Machine Learning, Metal Organic FrameworksEducation
- B.A. Chemistry and Physics, St. Olaf College (2019)
- MS University of Minnesota (2021)
Publications
- Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection
- Electronic Structure of Strongly Correlated Systems: Recent Developments in Multiconfiguration Pair-Density Functional Theory and Multiconfiguration Nonclassical-Energy Functional Theory
- Machine-Learned Energy Functionals for Multiconfigurational Wave Functions
- A Ranked-Orbital Approach to Select Active Spaces for High-Throughput Multireference Computation
- Automation of Active Space Selection for Multireference Methods via Machine Learning on Chemical Bond Dissociation
Awards and Academic Achievements
- 3M Fellowship, 2019
- SCGSR Award 2021