Novel Approaches to Discovery and Optimization in Physics: Symbolic Regression, Bayesian Optimization, and Topological Photonics

Computational tools including high-fidelity simulations, optimization algorithms, and more recently, machine learning, have become increasingly important in furthering scientific and engineering innovations as available computational power and computing methodologies have both advanced significantly...

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Bibliographic Details
Main Author: Kim, Samuel
Other Authors: Soljačić, Marin
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/153333