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Algorithms for accelerating the optimization of alloy catalysts
Shuang Han
Atomic Scale Materials Modelling
Department of Energy Conversion and Storage
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Book/Report
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Ph.D. thesis
501
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Engineering
Design Parameter
100%
Methane Steam Reforming
66%
Renewable Energy Source
66%
Future Energy
33%
Enzymatic Activity
33%
Optimal Design
33%
Design Space
33%
Elemental Composition
33%
Desired Property
33%
Computational Resource
33%
Gaussians
33%
Convex Function
33%
Machine Learning Algorithm
33%
Function Evaluation
33%
Fossil Fuel
33%
Hydrogen Production
33%
Nanoscale
33%
Black Box
33%
Material Science
Catalyst Activity
100%
Transition Metal
100%
Fossil Fuel
100%
Chemical Engineering
Learning System
100%
Transition Metal
33%
Neural Network
33%
Hydrogen Production
33%
Keyphrases
Expensive Black-box Problems
12%
Nonconvex Global Optimization
12%
Evolutionary multitasking
12%
Population-based Metaheuristics
12%