Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks K Yang, Y Cao, Y Zhang, S Fan, M Tang, D Aberg, B Sadigh, F Zhou Patterns 2 (5), 2021 | 56 | 2021 |
High sulfur content multifunctional conducting polymer composite electrodes for stable Li-S battery AB Puthirath, A Baburaj, K Kato, D Salpekar, N Chakingal, Y Cao, G Babu, ... Electrochimica Acta 306, 489-497, 2019 | 51 | 2019 |
Machine-learning potentials for crystal defects R Freitas, Y Cao MRS Communications 12 (5), 510-520, 2022 | 26 | 2022 |
Quantifying chemical short-range order in metallic alloys K Sheriff, Y Cao, T Smidt, R Freitas Proceedings of the National Academy of Sciences 121 (25), e2322962121, 2024 | 4 | 2024 |
Chemical-motif characterization of short-range order with E(3)-equivariant graph neural networks K Sheriff, Y Cao, R Freitas arXiv preprint arXiv:2405.08628, 2024 | 1 | 2024 |
Capturing short-range order in high-entropy alloys with machine learning potentials Y Cao, K Sheriff, R Freitas arXiv preprint arXiv:2401.06622, 2024 | 1 | 2024 |
Comprehensive Analysis of Ordering in CoCrNi and CrNi2 Alloys F Coury, V Bacurau, P Moreira, G Bertoli, A Andreolli, E Mazzer, F Assis, ... | | 2024 |