Author

Date Item Type No Grouping

Article

DENSE SENSE: A novel approach utilizing an electron density augmented machine learning paradigm to understand a complex odour landscape. (2025) Pinaki Saha, Mrityunjay Sharma, Sarabeshwar Balaji, Aryan Amit Barsainyan, Ritesh Kumar, Volker Steuber and Michael Schmuker picture_as_pdf

A Fully In Silico Protocol to Understand Olfactory ReceptorOdorant Interactions. (2025) Bhavika Berwal, Pinaki Saha and Ritesh Kumar

A Fully In Silico Protocol to Understand Olfactory Receptor–Odorant Interactions. (2025) Bhavika Berwal, Pinaki Saha and Ritesh Kumar

Correction: A topological path to the formation of a quasi-planar B 70 boron cluster and its dianion. (2024) Pinaki Saha, Fernando Buendía, Long Van Duong and Minh Tho Nguyen

Electron density mapping of boron clusters via convolutional neural networks to augment structure prediction algorithms. (2023) Pinaki Saha and Minh Tho Nguyen

Monograph

ConfDENSE: A conformer aware electron density based machine learning paradigm for navigating the odorant landscape. (2026) Pinaki Saha, Sarabeshwar Balaji, Mrityunjay Sharma, Aryan Amit Barsainyan, Ritesh Kumar, Volker Steuber and Michael Schmuker