186 citations · 829 across the 29 of their papers we have counts for
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cond-mat.mtrl-sci2022
Machine learning superalloy microchemistry and creep strength from physical descriptors
Patrick L Taylor, Gareth Conduit
We propose an element-agnostic set of descriptors to model superalloy properties with Gaussian process regression. Furthermore, we develop a correction method to deliver the best a…
cs.LG2022★ 4 cited
Unveil the unseen: Exploit information hidden in noise
Bahdan Zviazhynski, Gareth Conduit
Noise and uncertainty are usually the enemy of machine learning, noise in training data leads to uncertainty and inaccuracy in the predictions. However, we develop a machine learni…