Artikel dengan mandat akses publik - Amir Barati FarimaniPelajari lebih lanjut
Tidak tersedia di mana pun: 1
Heteroatom-doped transition metal nitrides for CO electrochemical reduction: A density functional theory screening study
M Karamad, AB Farimani, R Magar, S Siahrostami, ID Gates
The Journal of Physical Chemistry C 124 (48), 26344-26351, 2020
Mandat: Canada First Research Excellence Fund
Tersedia di suatu tempat: 51
Molecular contrastive learning of representations via graph neural networks
Y Wang, J Wang, Z Cao, A Barati Farimani
Nature Machine Intelligence, 279–287, 2022
Mandat: US Department of Energy
A review on challenges and successes in atomic-scale design of catalysts for electrochemical synthesis of hydrogen peroxide
S Siahrostami, SJ Villegas, AH Bagherzadeh Mostaghimi, S Back, ...
Acs Catalysis 10 (14), 7495-7511, 2020
Mandat: US Department of Energy, Canada First Research Excellence Fund
Energy Dissipation in Monolayer MoS2 Electronics
E Yalon, CJ McClellan, KKH Smithe, M Muñoz Rojo, RL Xu, ...
Nano letters 17 (6), 3429-3433, 2017
Mandat: US National Science Foundation, US Department of Defense
Ultrathin, transferred layers of thermally grown silicon dioxide as biofluid barriers for biointegrated flexible electronic systems
H Fang, J Zhao, KJ Yu, E Song, AB Farimani, CH Chiang, X Jin, Y Xue, ...
Proceedings of the National Academy of Sciences 113 (42), 11682-11687, 2016
Mandat: US National Science Foundation, US National Institutes of Health
Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
P Gkeka, G Stoltz, A Barati Farimani, Z Belkacemi, M Ceriotti, JD Chodera, ...
Journal of chemical theory and computation 16 (8), 4757-4775, 2020
Mandat: US National Institutes of Health, UK Engineering and Physical Sciences …
A physics-informed diffusion model for high-fidelity flow field reconstruction
D Shu, Z Li, AB Farimani
Journal of Computational Physics 478, 111972, 2023
Mandat: US National Science Foundation
Dissolution of monocrystalline silicon nanomembranes and their use as encapsulation layers and electrical interfaces in water-soluble electronics
YK Lee, KJ Yu, E Song, A Barati Farimani, F Vitale, Z Xie, Y Yoon, Y Kim, ...
ACS nano 11 (12), 12562-12572, 2017
Mandat: US National Science Foundation, US National Institutes of Health, National …
MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning
P Akbari, F Ogoke, NY Kao, K Meidani, CHY Yeh, W Lee, ...
Additive Manufacturing 55, 102817, 2022
Mandat: US Department of Defense
DNA origami–graphene hybrid nanopore for DNA detection
A Barati Farimani, P Dibaeinia, NR Aluru
ACS applied materials & interfaces 9 (1), 92-100, 2017
Mandat: US National Science Foundation, US Department of Defense
Reaction diffusion system prediction based on convolutional neural network
A Li, R Chen, AB Farimani, YJ Zhang
Scientific reports 10 (1), 3894, 2020
Mandat: US National Science Foundation
Deep learning for reduced order modelling and efficient temporal evolution of fluid simulations
P Pant, R Doshi, P Bahl, A Barati Farimani
Physics of Fluids 33 (10), 2021
Mandat: US National Science Foundation
Thermal control of laser powder bed fusion using deep reinforcement learning
F Ogoke, AB Farimani
Additive Manufacturing 46, 102033, 2021
Mandat: US Department of Energy
Adaptive grey wolf optimizer
K Meidani, AP Hemmasian, S Mirjalili, A Barati Farimani
Neural Computing and Applications 34 (10), 7711-7731, 2022
Mandat: US National Science Foundation
Adsorption kinetics dictate monolayer self-assembly for both lipid-in and lipid-out approaches to droplet interface bilayer formation
GA Venkatesan, J Lee, AB Farimani, M Heiranian, CP Collier, NR Aluru, ...
Langmuir 31 (47), 12883-12893, 2015
Mandat: US Department of Energy
Thermal transport in from molecular dynamics using different empirical potentials
K Xu, AJ Gabourie, A Hashemi, Z Fan, N Wei, AB Farimani, HP Komsa, ...
Physical Review B 99 (5), 054303, 2019
Mandat: US National Science Foundation, US Department of Defense, National Natural …
Identification of amino acids with sensitive nanoporous MoS2: towards machine learning-based prediction
A Barati Farimani, M Heiranian, NR Aluru
npj 2D Materials and Applications 2 (1), 14, 2018
Mandat: US National Science Foundation, Fundação para a Ciência e a Tecnologia, Portugal
Existence of multiple phases of water at nanotube interfaces
A Barati Farimani, NR Aluru
The Journal of Physical Chemistry C 120 (41), 23763-23771, 2016
Mandat: US National Science Foundation
TransPolymer: a Transformer-based language model for polymer property predictions
C Xu, Y Wang, A Barati Farimani
npj Computational Materials 9 (1), 64, 2023
Mandat: US Department of Energy
Graph convolutional networks applied to unstructured flow field data
F Ogoke, K Meidani, A Hashemi, AB Farimani
Machine Learning: Science and Technology 2 (4), 045020, 2021
Mandat: US Department of Energy
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