Publications

4 results for Clyde Fare

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
- - Yuri Alexeev
  - Maximilian Amsler
  - et al.
- 2024
- Future Generation Computer Systems
Paper
History Matching Reservoir Models With Many Objective Bayesian Optimization
- - Steven Samoil
  - Clyde Fare
  - et al.
- 2024
- Appl. AI Lett.
Paper
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
- - Clyde Fare
  - George K. Holt
  - et al.
- 2024
- AAAI 2024
Demo paper
A multi-fidelity machine learning approach to high throughput materials screening
- - Clyde Fare
  - Peter Fenner
  - et al.
- 2022
- npj Computational Materials
Paper