Takip et
Edirisuriya M. Dilanga Siriwardane
Edirisuriya M. Dilanga Siriwardane
Senior Lecturer, University of Colombo
phys.cmb.ac.lk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
682021
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
492021
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
382019
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
302022
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
292020
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
282020
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
252019
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
242019
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
222022
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
172022
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
162021
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
162021
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
152021
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
122023
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
122023
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
122021
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
92022
Crystal transformer: Self-learning neural language model for generative and tinkering design of materials
L Wei, Q Li, Y Song, S Stefanov, E Siriwardane, F Chen, J Hu
arXiv preprint arXiv:2204.11953, 2022
92022
Alphacrystal: Contact map based crystal structure prediction using deep learning
J Hu, Y Zhao, Q Li, Y Song, R Dong, W Yang, E Siriwardane
arXiv preprint arXiv:2102.01620, 2021
92021
Electronic and mechanical properties of stiff rhenium carbide monolayers: A first-principles investigation
EMD Siriwardane, P Karki, C Sevik, D Çakır
Applied Surface Science 458, 762-768, 2018
82018
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