Author

Kishalay Das

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#machine learning Preprint Sep 2026

Robust and Efficient AI Frameworks for Scalable Material Design and Property Prediction

A unified AI-based framework for data-efficient property prediction and controllable crystal generation is established, demonstrating how graph learning, multimodal representations, and generative models can reduce computational cost and improve the scalability of materials.

Kishalay Das · 0 citations

Preprint Jul 2026

Model Agnostic Graph Prompt Learning for Crystal Property Prediction

A soft prompt learning framework that captures latent features essential for property prediction, which are not explicitly provided to the GNN, and which seamlessly integrates with any existing GNN encoder is proposed.

Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri et al. · 0 citations