1 citations · 1 across the 6 of their papers we have counts for
7 papers
A Magnetism-Aware Crystal Graph Neural Network with Explicit Magnetic-Sublattice and Exchange-Geometry Representations
Sourav Mal, Satadeep Bhattacharjee
Magnetic order in crystals is governed by moment-carrying sublattices and ligand-mediated exchange pathways, yet standard crystal graph neural networks do not explicitly distinguis…
Property-Guided Diffusion for Inverse Design of Crystalline Materials
Sourav Mal, Subhankar Mishra, Prasenjit Sen
Diffusion-based generative models with property guidance have emerged as a promising paradigm for inverse materials design by enabling the generation of crystalline materials with…
DiffCrysGen: A Generative Diffusion Model for Accelerated Design of Inorganic Crystalline Materials
Sourav Mal, Nehad Ahmed, Junaid Jami +2
Efficient exploration of the vast chemical space is a fundamental challenge in materials design and discovery, particularly for designing functional inorganic crystalline materials…
Interfacial Control of both Magnetism and Polarization in a van der Waals Ferromagnet/Ferroelectric Heterostructure
Priyanshu Raj, Sourav Mal, Rana Saha +1
Two-dimensional multiferroic van der Waals heterostructures provide a promising platform for the simultaneous control of distinct ferroic orders, with potential applications in mag…
DiffCrysGen: A Score-Based Diffusion Model for Design of Diverse Inorganic Crystalline Materials
Sourav Mal, Subhankar Mishra, Prasenjit Sen
Crystal structure generation is a foundational challenge in materials discovery, particularly in designing functional inorganic crystalline materials with desired properties. Most…
Dimension-Dependent Critical Scaling Analysis and Emergent Competing Interaction Scales in a 2D Van der Waals magnet CrGeTe
P. C. Mahato, Suprotim Saha, Bikash Das +6
We investigate thickness-dependent transformation from a paramagnetic to ferromagnetic phase in CrGeTe (CGT) in bulk and few-layer flake forms. 2D Ising-like crit…
MagGen: A graph aided deep generative model for inverse design of stable, permanent magnets
Sourav Mal, Gaurav Seal, Prasenjit Sen
A significant development towards inverse design of materials with well-defined target properties is reported. A deep generative model based on variational autoencoder (VAE), condi…