Imperial College London

MrStevenKench

Faculty of EngineeringDyson School of Design Engineering

Research Postgraduate
 
 
 
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Contact

 

s.kench19

 
 
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Location

 

Royal School of MinesSouth Kensington Campus

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Summary

 

Summary

Steve is a Faraday PhD student in the Dyson School of Engineering, working on developing machine learning methods for material science applications. His research focuses on the use of generative adversarial nets to explore and optimise cathode microstructures. This project is supervised by Dr Samuel Cooper, and Co-supervised by Prof Aron Walsh.

Steve completed his undergraduate and Masters at Oxford in the department of Material Science. His masters project involved experimental investigation and chemo-mechanical modelling of fault growth in Ni-superalloys. Steve's interests include machine learning, software development and materials design. He recently organised ShenaniGANs @ Imperial College London, an online conference to bring together the GANs community at Imperial.

ShenaniGANs @ Imperial College London

Publications

Journals

Kench S, Squires I, Dahari A, et al., 2022, MicroLib: A library of 3D microstructures generated from 2D micrographs using SliceGAN, Scientific Data, Vol:9, ISSN:2052-4463

Software

Kench S, 2020, stke9/SliceGAN: SliceGAN_v1.1, v.1.1

More Publications