Edirisuriya M. Dilanga Siriwardane
Edirisuriya M. Dilanga Siriwardane
Senior Lecturer, University of Colombo
Geverifieerd e-mailadres voor phys.cmb.ac.lk - Homepage
Geciteerd door
Geciteerd door
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
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
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
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
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
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
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
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
Alphacrystal: Contact map based crystal structure prediction using deep learning
J Hu, Y Zhao, Y Song, R Dong, W Yang, Y Li, E Siriwardane
arXiv preprint arXiv:2102.01620, 2021
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
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, E Siriwardane, Y Zhao, ...
npj Computational Materials 8 (1), 1-12, 2022
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
Distance matrix-based crystal structure prediction using evolutionary algorithms
J Hu, W Yang, EM Dilanga Siriwardane
The Journal of Physical Chemistry A 124 (51), 10909-10919, 2020
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
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, 2022
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
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
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
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
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, 2022
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