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Edirisuriya M D Siriwardane

Showing results (1-10 of 7) with videos related to

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The Journal of Physical Chemistry. A|July 15, 2024
Generative Design of Inorganic Compounds Using Deep Diffusion Language ModelsRongzhi Dong, Nihang Fu, Edirisuriya M D Siriwardane, et al.
ACS Applied Materials & Interfaces|June 5, 2020
Revealing the Formation Energy-Exfoliation Energy-Structure Correlation of MAB Phases Using Machine Learning and DFTEdirisuriya M D Siriwardane, Rajendra P Joshi, Neeraj Kumar, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|October 27, 2020
Engineering magnetic anisotropy and exchange couplings in double transition metal MXenes via surface defectsEdirisuriya M D Siriwardane, Pragalv Karki, Yen Lee Loh, et al.
ACS Omega|July 31, 2023
Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic MaterialsJianjun Hu, Yong Zhao, Qin Li, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 5, 2021
High-Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural NetworksYong Zhao, Mohammed Al-Fahdi, Ming Hu, et al.
Inorganic Chemistry|April 14, 2022
TCSP: a Template-Based Crystal Structure Prediction Algorithm for Materials DiscoveryLai Wei, Nihang Fu, Edirisuriya M D Siriwardane, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 5, 2024
Crystal Composition Transformer: Self-Learning Neural Language Model for Generative and Tinkering Design of MaterialsLai Wei, Qinyang Li, Yuqi Song, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry. A|July 15, 2024
Generative Design of Inorganic Compounds Using Deep Diffusion Language ModelsRongzhi Dong, Nihang Fu, Edirisuriya M D Siriwardane, et al.
ACS Applied Materials & Interfaces|June 5, 2020
Revealing the Formation Energy-Exfoliation Energy-Structure Correlation of MAB Phases Using Machine Learning and DFTEdirisuriya M D Siriwardane, Rajendra P Joshi, Neeraj Kumar, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|October 27, 2020
Engineering magnetic anisotropy and exchange couplings in double transition metal MXenes via surface defectsEdirisuriya M D Siriwardane, Pragalv Karki, Yen Lee Loh, et al.
ACS Omega|July 31, 2023
Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic MaterialsJianjun Hu, Yong Zhao, Qin Li, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 5, 2021
High-Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural NetworksYong Zhao, Mohammed Al-Fahdi, Ming Hu, et al.
Inorganic Chemistry|April 14, 2022
TCSP: a Template-Based Crystal Structure Prediction Algorithm for Materials DiscoveryLai Wei, Nihang Fu, Edirisuriya M D Siriwardane, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 5, 2024
Crystal Composition Transformer: Self-Learning Neural Language Model for Generative and Tinkering Design of MaterialsLai Wei, Qinyang Li, Yuqi Song, et al.
Pageof 1