مقاله‌های دارای تعهدات انتشار عمومی - Edirisuriya M. Dilanga Siriwardaneبیشتر بدانید
جای دیگری دردسترس نیست: ۴
Achieving fast kinetics and enhanced Li storage capacity for Ti3C2O2 by intercalation of quinone molecules
EMD Siriwardane, I Demiroglu, C Sevik, D Cakir
ACS Applied Energy Materials, 2019
تعهدات: US National Science Foundation, US Department of Energy
Engineering magnetic anisotropy and exchange couplings in double transition metal MXenes via surface defects
EMD Siriwardane, P Karki, YL Loh, D Çakır
Journal of Physics: Condensed Matter 33 (3), 035801, 2020
تعهدات: US National Science Foundation, US Department of Energy
Nanolaminated and materials and the assessment of their electronic correlations
EMD Siriwardane, T Birol, O Erten, D Çakır
Physical Review Materials 6 (12), 124005, 2022
تعهدات: US National Science Foundation, US Department of Defense
Enhanced Electrochemical Storage Properties of Na-and Mg-Intercalated B-Doped-Graphene Based Heterostructures and Bilayers
EMD Siriwardane, D Çakır
The Journal of Physical Chemistry C 124 (2), 1260-1268, 2019
تعهدات: US National Science Foundation, US Department of Energy
جای دیگری دردسترس است: ۲۲
High-Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks
Y Zhao, M Al-Fahdi, M Hu, EMD Siriwardane, Y Song, A Nasiri, J Hu
Advanced Science 8, 2100566, 2021
تعهدات: US National Science Foundation
Computational discovery of new 2D materials using deep learning generative models
Y Song, EMD Siriwardane, Y Zhao, J Hu
ACS Applied Materials & Interfaces 13 (45), 53303-53313, 2021
تعهدات: US National Science Foundation
Strain–Spintronics: Modulating Electronic and Magnetic Properties of Hf2MnC2O2 MXene by Uniaxial Strain
EMD Siriwardane, P Karki, YL Loh, D Çakır
The Journal of Physical Chemistry C 123 (19), 12451-12459, 2019
تعهدات: US National Science Foundation, US Department of Energy
Revealing the formation energy–exfoliation energy–structure correlation of MAB phases using machine learning and DFT
EMD Siriwardane, RP Joshi, N Kumar, D Çakır
ACS applied materials & interfaces 12 (26), 29424-29431, 2020
تعهدات: US National Science Foundation, US Department of Energy
Physics guided deep learning for generative design of crystal materials with symmetry constraints
Y Zhao, EMD Siriwardane, Z Wu, N Fu, M Al-Fahdi, M Hu, J Hu
npj Computational Materials 9 (1), 38, 2023
تعهدات: US National Science Foundation
Assessment of sulfur-functionalized MXenes for Li-ion battery applications
EMD Siriwardane, I Demiroglu, C Sevik, FM Peeters, D Çakır
The Journal of Physical Chemistry C 124 (39), 21293-21304, 2020
تعهدات: US Department of Energy, US Department of Defense, Scientific and …
MaterialsAtlas. org: a materials informatics web app platform for materials discovery and survey of state-of-the-art
J Hu, S Stefanov, Y Song, SS Omee, SY Louis, EMD Siriwardane, Y Zhao, ...
npj Computational Materials 8 (1), 65, 2022
تعهدات: US National Science Foundation
TCSP: a template-based crystal structure prediction algorithm for materials discovery
L Wei, N Fu, EMD Siriwardane, W Yang, SS Omee, R Dong, R Xin, J Hu
Inorganic Chemistry 61 (22), 8431-8439, 2022
تعهدات: US National Science Foundation
Strain engineering of electronic and magnetic properties of double-transition metal ferromagnetic semiconductor MXenes
EMD Siriwardane, Deniz Çakir
Journal of Applied Physics 125, 082527, 2019
تعهدات: US National Science Foundation
Material transformers: deep learning language models for generative materials design
N Fu, L Wei, Y Song, Q Li, R Xin, SS Omee, R Dong, EMD Siriwardane, ...
Machine Learning: Science and Technology 4 (1), 015001, 2023
تعهدات: US National Science Foundation
Accurate prediction of voltage of battery electrode materials using attention-based graph neural networks
SY Louis, EMD Siriwardane, RP Joshi, SS Omee, N Kumar, J Hu
ACS Applied Materials & Interfaces 14 (23), 26587-26594, 2022
تعهدات: US National Science Foundation, US Department of Energy
Contact map based crystal structure prediction using global optimization
J Hu, W Yang, R Dong, Y Li, X Li, S Li, EMD Siriwardane
CrystEngComm 23 (8), 1765-1776, 2021
تعهدات: US National Science Foundation
Active-learning-based generative design for the discovery of wide-band-gap materials
R Xin, EMD Siriwardane, Y Song, Y Zhao, SY Louis, A Nasiri, J Hu
The Journal of Physical Chemistry C 125 (29), 16118-16128, 2021
تعهدات: US National Science Foundation
First-Principles Investigation of Ti2CSO and Ti2CSSe Janus MXene Structures for Li and Mg Electrodes
EMD Siriwardane, J Hu
The Journal of Physical Chemistry C 125 (23), 12469-12477, 2021
تعهدات: US National Science Foundation
Generative design of stable semiconductor materials using deep learning and density functional theory
EMD Siriwardane, Y Zhao, I Perera, J Hu
npj Computational Materials 8 (1), 164, 2022
تعهدات: US National Science Foundation
Crystal structure prediction of materials with high symmetry using differential evolution
W Yang, EMD Siriwardane, R Dong, Y Li, J Hu
Journal of Physics: Condensed Matter 33 (45), 455902, 2021
تعهدات: US National Science Foundation
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