DeePMD-kit v2: A software package for deep potential models J Zeng, D Zhang, D Lu, P Mo, Z Li, Y Chen, M Rynik, L Huang, Z Li, S Shi, ... The Journal of Chemical Physics 159 (5), 2023 | 117 | 2023 |
Heat transport in liquid water from first-principles and deep neural network simulations D Tisi, L Zhang, R Bertossa, H Wang, R Car, S Baroni Physical Review B 104 (22), 224202, 2021 | 45 | 2021 |
Viscosity in water from first-principles and deep-neural-network simulations C Malosso, L Zhang, R Car, S Baroni, D Tisi npj Computational Materials 8 (139), 2022 | 34 | 2022 |
Mechanism of charge transport in lithium thiophosphate L Gigli, D Tisi, F Grasselli, M Ceriotti Chemistry of Materials 36 (3), 1482-1496, 2024 | 11 | 2024 |
QEHeat: An open-source energy flux calculator for the computation of heat-transport coefficients from first principles A Marcolongo, R Bertossa, D Tisi, S Baroni Computer Physics Communications 269, 108090, 2021 | 11 | 2021 |
Thermal conductivity of solid electrolytes with ab initio accuracy D Tisi, F Grasselli, L Gigli, M Ceriotti Physical Review Materials 8 (6), 065403, 2024 | 4* | 2024 |
i-PI 3.0: a flexible, efficient framework for advanced atomistic simulations Y Litman, V Kapil, YMY Feldman, D Tisi, T Begušić, K Fidanyan, G Fraux, ... arXiv preprint arXiv:2405.15224, 2024 | | 2024 |
Transport mechanism in Lithium thiophosphate D Tisi, L Gigli, F Grasselli, M Ceriotti Bulletin of the American Physical Society, 2024 | | 2024 |
Neural networks allows ab initio simulation of water viscosity C Malosso, D Tisi Chemistry, 2022 | | 2022 |
Green-Kubo simulation of transport properties: from ab initio to neural-network molecular dynamics D Tisi SISSA, 2022 | | 2022 |
Heat transport in water from Deep Neural Network potentials D Tisi, L Zhang, R Car, S Baroni APS March Meeting Abstracts 2021, A20. 007, 2021 | | 2021 |
Group ID U12743 A Anelli, E Baldi, B Mahmoud, F Chiheb Bigi, M Ceriotti, R Cersonsky, ... | | |