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Nikita Serov

2 accepted papers

2024

Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability

NeurIPS 2024poster

Co-crystallization is an accessible way to control physicochemical characteristics of organic crystals, which finds many biomedical applications. In this work, we present Generative Method for Co-crystal Design (GEMCODE), a novel pipeline for automated co-crystal screening based on the hybridization…

2024

Unveiling the Potential of AI for Nanomaterial Morphology Prediction

ICML 2024poster

Creation of nanomaterials with specific morphology remains a complex experimental process, even though there is a growing demand for these materials in various industry sectors. This study explores the potential of AI to predict the morphology of nanoparticles within the data availability constraint…