Data Driven Interdisciplinary Science

Research Frontiers in Active Learning for Expensive Simulations

Strategically selects simulation parameters and experiments to maximize information gain while minimizing computational cost in surrogate modeling.

All Data-Driven Interdisciplinary Science PhD categories