Discovery and Optimization of Materials Using Evolutionary Approaches

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The rise, fall and reinvention of combinatorial chemistry

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Fundamental and combinatorial approaches in the search for and optimisation of catalytic materials for the oxidative dehydrogenation of propane to propene

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Artificial neural network-aided design of a multi-component catalyst for methane oxidative coupling

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Ethylene and propene by oxidative dehydrogenation of ethane and propane

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A New Paradigm for Materials Discovery: Heuristics‐Assisted Combinatorial Chemistry Involving Parameterization of Material Novelty

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Catalyst design for methane oxidative coupling by using artificial neural network and hybrid genetic algorithm

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Optimisation of olefin epoxidation catalysts with the application of high-throughput and genetic algorithms assisted by artificial neural networks (softcomputing techniques)

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Resonances On-Demand for Plasmonic Nano-Particles

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Optimizing core-shell nanoparticle catalysts with a genetic algorithm

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Why is chemical synthesis and property optimization easier than expected?

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Development of a low temperature light paraffin isomerization catalysts with improved resistance to water and sulphur by combinatorial methods

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Directed Development of High-Performance Membranes via High-Throughput and Combinatorial Strategies

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Optimization of Cu oxide catalysts for methanol synthesis by combinatorial tools using 96 well microplates, artificial neural network and genetic algorithm

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Optimization of the Temperature Profile of a Temperature Gradient Reactor for DME Synthesis Using a Simple Genetic Algorithm Assisted by a Neural Network

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Genetic Algorithm−Assisted Combinatorial Search for a New Green Phosphor for Use in Tricolor White LEDs

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