Tarak Karmakar

1. Collective variables for the study of crystallisation
   2021/03/01 by Tarak Karmakar, Michele Invernizzi, Valerio Rizzi +1 · 11 citations
   Physics and Astronomy · Materials Science · #Theoretical and Computational Physics #Machine Learning in Materials Science #Crystallization and Solubility Studies
2. Collective Variables for Crystallization Simulations -- from Early Developments to Recent Advances
   2022/09/28 by Neha Neha, Neha, Vikas Tiwari +7 · 4 citations
   Materials Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning in Materials Science #Material Dynamics and Properties #Protein Structure and Dynamics
3. Graph Neural Networks for Predicting Solubility in Diverse Solvents using MolMerger incorporating Solute-solvent Interactions
   2024/02/17 by Vansh Ramani, Tarak Karmakar, Ramani, Vansh +1 · 3 citations
   Materials Science · Chemistry · Environmental Science · #Crystallization and Solubility Studies #Various Chemistry Research Topics #Chemistry and Chemical Engineering