Edirisuriya M. Dilanga Siriwardane

Author

Also Known As

Dong, Rongzhi, E. M. D. Siriwardane, Edirisuriya M D Siriwardane, Edirisuriya M Dilanga Siriwardane, Edirisuriya M. D. Siriwardane, Edirisuriya M. Dilanga Siriwardane, Edirisuriya M.D. Siriwardane, Edirisuriya Siriwardane, Siriwardane, Edirisuriya, Siriwardane, Edirisuriya M. Dilanga

Publications

793

Citations

H-Index

Concepts

All Affiliations

University of South Carolina University of Colombo University of North Dakota Guizhou University Pacific Northwest National Laboratory

About

Edirisuriya M. Dilanga Siriwardane is an author at University of South Carolina specializing in materials science, engineering, and chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	361
2	Applied Physics	5	5	190
3	Natural Sciences	2	2	81
4	Social Sciences	1	1	32
5	Chemical Engineering	1	1	47

Edirisuriya M. Dilanga Siriwardane

Publications

710

Citations

H-Index

Page 1

	Year	Citations
Physics guided deep learning for generative design of crystal materials with symmetry constraints Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Zhenyao Wu, npj Computational Materials	2023	99
Computational Discovery of New 2D Materials Using Deep Learning Generative Models Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, ACS Applied Materials & Interfaces EngineeringMachine LearningMaterial SimulationTwo-dimensional MaterialsLow Dimensional Material	2021	75
Accurate Prediction of Voltage of Battery Electrode Materials Using Attention-Based Graph Neural Networks Steph-Yves Louis, Edirisuriya M. Dilanga Siriwardane, Rajendra P. Joshi, ACS Applied Materials & Interfaces	2022	50
Assessment of Sulfur-Functionalized MXenes for Li-Ion Battery Applications Edirisuriya M. Dilanga Siriwardane, İlker Demiroğlu, Cem Sevik, The Journal of Physical Chemistry C EngineeringSurface TerminationM2cs2 MonolayerChemistryChemical Engineering	2020	47
Revealing the Formation Energy–Exfoliation Energy–Structure Correlation of MAB Phases Using Machine Learning and DFT Edirisuriya M. Dilanga Siriwardane, Rajendra P. Joshi, Neeraj Kumar, ACS Applied Materials & Interfaces	2020	46
MaterialsAtlas.org: a materials informatics web app platform for materials discovery and survey of state-of-the-art Jianjun Hu, Stanislav Stefanov, Yuqi Song, npj Computational Materials	2022	46
Strain–Spintronics: Modulating Electronic and Magnetic Properties of Hf<sub>2</sub>MnC<sub>2</sub>O<sub>2</sub> MXene by Uniaxial Strain Edirisuriya M. Dilanga Siriwardane, Pragalv Karki, Yen Lee Loh, The Journal of Physical Chemistry C Magnetic PropertiesEngineeringLow-dimensional MagnetismTwo-dimensional MaterialsMagnetic Resonance	2019	41
Strain engineering of electronic and magnetic properties of double-transition metal ferromagnetic semiconductor MXenes Edirisuriya M. Dilanga Siriwardane Journal of Applied Physics Magnetic PropertiesEngineeringTwo-dimensional MaterialsMagnetic MaterialsMagnetoresistance	2019	40
First-Principles Investigation of Ti <sub>2</sub> CSO and Ti <sub>2</sub> CSSe Janus MXene Structures for Li and Mg Electrodes Edirisuriya M. Dilanga Siriwardane, Jianjun Hu The Journal of Physical Chemistry C	2021	34
Material transformers: deep learning language models for generative materials design Nihang Fu, Lai Wei, Yuqi Song, Machine Learning Science and Technology Artificial IntelligenceLlm Fine-tuningEngineeringMachine LearningNew Materials Discovery	2022	32

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