4 citations · 9 across the 8 of their papers we have counts for
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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…
SF-SFD: Stochastic Optimization of Fourier Coefficients to Generate Space-Filling Designs
Manisha Garg, Tyler Chang, Krishnan Raghavan
Due to the curse of dimensionality, it is often prohibitively expensive to generate deterministic space-filling designs. On the other hand, when using na{ï}ve uniform random sampli…
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…
Designing a Framework for Solving Multiobjective Simulation Optimization Problems
Tyler H. Chang, Stefan M. Wild
Multiobjective simulation optimization (MOSO) problems are optimization problems with multiple conflicting objectives, where evaluation of at least one of the objectives depends on…