Debdas delivered an invited lecture at this symposium  organized by at the CAS, The Norwegian Academy of Science and Letters (March. 28, 2025) 

Published in PNAS!!, Title: "Medium-density amorphous ice unveils shear rate as a new dimension in water’s phase diagram"

New preprint in BioRxiv, Title: "Coupled Solvent Dynamics and Protein Dynamics Help Drive Functional Differences in Exon-19 Deletion Mutants in the Epidermal Growth Factor Receptor (EGFR/ErbB1/HER1) Kinase Domain" 

New preprint in ChemRxiv, Title: "Medium-density Amorphous Ice Unveils Shear Rate as a New Dimension in Water's Phase Diagram" 

Mahesh joined our group as a PhD student,  Welcome Mahesh! 

Published in PNAS!!, Title: "Liquid-Liquid Transition and Ice crystallization in a Machine-Learned Coarse-grained Water Model"

Glad to be a part of this exciting collaboration: Attended the first Young CAS meeting at the Centre for Advanced Studies, Oslo, Norway. Led by Dr. Sigbjorn L. Bore 

Adyasa joined our group as a PhD student —the first PhD student of CMatLaB.

New preprint in ChemRxiv, Title: "Liquid-Liquid Transition in a Machine-Learned Coarse-grained Water Model" 

Joined as an "Assistant Professor in the Department of Chemistry, at IIT Guwahati"  

Published in npj Comp. Materials, Title: "Multi-Reward Reinforcement Learning Based Development of Inter-atomic Potential Models for Silica" 

New Preprint in ChemRxiv, Title: "Kinetics and Mechanisms of Pressure-induced Ice Amorphization and Polyamorphic Transitions in a Machine-learned Coarse-Grained Water Model" 

Our paper on What can a monatomic water model do and not do? is now published in JPCB: Title: "Stability & Metastability of Liquid water in a Machine-learned Coarse-grained Model with Short-range Interactions" 

Delighted to receive the “Distinction in Ph.D. research” award from IIT Delhi! Heartfelt gratitude to my Ph.D. advisors, Late Prof. Charusita Chakravarty, Dr. Hemant K. Kashyap, and Prof. Ramakrishna Ramaswamy. Thanks to the reviewers, the Dept of Chem & the Director of IIT Delhi.

Our paper on What can a monatomic water model do and not do? is in ChemRxiv: Title: "Stability & Metastability of Liquid water in a Machine-learned Coarse-grained Model with Short-range Interactions"

Debdas presented our work on the assessment of a Machine-learned coarse-grained model of water at the GRC: Water and Aqueous Solutions 

Machine learning work on material classification is in arxiv: Title: "CEGAN: Crystal Edge Graph Attention Network for multiscale classification of materials environment"

Our paper on nano-zeolite is featured in science news magazines 

ChemistryViews:https://www.chemistryviews.org/synthesizing-the-smallest-possible-zeolite/

EurekAlert: https://www.eurekalert.org/news-releases/951593

nanowerk:https://www.nanowerk.com/nanotechnology-news2/newsid=60538.php