24 citations · 45 across the 13 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.CL2022★ 1 cited
Searching for chromate replacements using natural language processing and machine learning algorithms
Shujing Zhao, Nick Birbilis
The past few years has seen the application of machine learning utilised in the exploration of new materials. As in many fields of research - the vast majority of knowledge is publ…
cs.CV2022★ 14 cited
RustSEG -- Automated segmentation of corrosion using deep learning
B. Burton, W. T. Nash, N. Birbilis
The inspection of infrastructure for corrosion remains a task that is typically performed manually by qualified engineers or inspectors. This task of inspection is laborious, slow,…
cond-mat.mtrl-sci2022
cardiGAN: A Generative Adversarial Network Model for Design and Discovery of Multi Principal Element Alloys
Z. Li, W. T. Nash, S. P. O Brien +3
Multi-principal element alloys (MPEAs), inclusive of high entropy alloys (HEAs), continue to attract significant research attention owing to their potentially desirable properties.…