| Machine learning the deuteron JWT Keeble, A Rios Physics Letters B 809, 135743, 2020 | 61 | 2020 |
| Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states JWT Keeble, M Drissi, A Rojo-Francàs, B Juliá-Díaz, A Rios Physical Review A 108 (6), 063320, 2023 | 5 | 2023 |
| Neural Network Solutions to the Fermionic Schrödinger Equation JW Keeble University of Surrey, 2022 | 4 | 2022 |
| Second-order optimization strategies for neural network quantum states M Drissi, JWT Keeble, J Rozalén Sarmiento, A Rios Philosophical Transactions A 382 (2275), 20240057, 2024 | 2 | 2024 |
| Machine learning the deuteron: new architectures and uncertainty quantification JR Sarmiento, JWT Keeble, A Rios The European Physical Journal Plus 139 (2), 189, 2024 | 2 | 2024 |
| Correction: Machine learning the deuteron: new architectures and uncertainty quantification J Rozalén Sarmiento, JWT Keeble, A Rios The European Physical Journal Plus 139 (6), 536, 2024 | | 2024 |
| Optimizing Fermionic Neural Networks with Decision Geometry M Drissi, J Keeble, A Rios APS Meeting Abstracts, C08. 003, 2023 | | 2023 |
Arnau RiosInstitute of Cosmos Sciences, University of Barcelona在 icc.ub.edu 的电子邮件经过验证
