4 citations · 4 across the 3 of their papers we have counts for
3 papers
An Integrated Multi-Physics Optimization Framework for Particle Accelerator Design
Gongxiaohui Chen, Tyler H. Chang, John Power +1
The overarching goal of beamline design is to achieve a high brightness electron beam from the beamline. Traditional beamline design studies involved separate optimizations of radi…
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives
Romain Egele, Tyler Chang, Yixuan Sun +2
Machine learning (ML) methods offer a wide range of configurable hyperparameters that have a significant influence on their performance. While accuracy is a commonly used performan…
A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps
Tyler H. Chang, Jakob R. Elias, Stefan M. Wild +2
In order to deploy machine learning in a real-world self-driving laboratory where data acquisition is costly and there are multiple competing design criteria, systems need to be ab…