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Physical Chemistry Chemical Physics : PCCP|June 26, 2020
Prediction of optoelectronic properties of Cu<sub>2</sub>O using neural network potentialBalaranjan Selvaratnam, Ranjit T Koodali, Pere Miró
Journal of Chemical Information and Modeling|February 14, 2020
Application of Symmetry Functions to Large Chemical Spaces Using a Convolutional Neural NetworkBalaranjan Selvaratnam, Ranjit T Koodali, Pere Miró
Data in Brief|October 27, 2025
Dataset of prototype structures adopted by intermetallic compounds with <i>AB</i> stackingBalaranjan Selvaratnam, Emil I Jaffal, Danila Shiryaev, et al.
Inorganic Chemistry|March 12, 2026
In Search of Lithium Intermetallics with Channel Structures: Prediction and Discovery of Ternary Silicides Li-RE-Si (RE = Pr, Nd, Tm, Lu)Volodymyr Gvozdetskyi, Allison Thomé, Mohammed Jomaa, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society|April 13, 2018
Mesoporous silicate nanoparticles/3D nanofibrous scaffold-mediated dual-drug delivery for bone tissue engineeringQingqing Yao, Yangxi Liu, Balaranjan Selvaratnam, et al.
Inorganic Chemistry|March 19, 2024
Ahead by a Century: Discovery of Laves Phases Assisted by Machine LearningRitobroto Sikdar, Nilanjan Roy, Balaranjan Selvaratnam, et al.
Journal of the American Chemical Society|September 26, 2025
Explainable Recommendation Engines to Predict Complex Intermetallics: Synthesis and Characterization of Gd<sub>10</sub>RuCd<sub>3</sub>, a Neutron Absorption MaterialBrook Xhabrahimi, Emil I Jaffal, Danila Shiryaev, et al.
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