Ayana Ghosh

According to our database, Ayana Ghosh authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Born-Qualified: An Autonomous Framework for Deploying Advanced Energy and Electronic Materials.

Steven R. Spurgeon, Milad Abolhasani, Frederick Baddour, Ryan B. Comes, Vinayak P. Dravid, Hilary Egan, Patrick Emami, Robert W. Epps, Davi M. Febba, Renae Gannon, E. Ashley Gaulding, Ayana Ghosh, Kenny Gruchalla, Grace Guinan, Taro Hitosugi, Michael Holden, Sergei V. Kalinin, Yangang Liang, John S. Mangum, Matthew J. Olszta, Nathaniel H. Park, Axel Palmstrom, Michelle A. Smeaton, M. Brooks Tellekamp, Nicholas E. Thornburg, Raymond R. Unocic, Daniela Ushizima, Rama K. Vasudevan, Robert White, Andrew Young, Andriy Zakutayev

CoRR, May, 2026

2025

Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop.

Lance Yao, Suman Samantray, Ayana Ghosh, Kevin Roccapriore, Libor Kovarik, Sarah I. Allec, Maxim A. Ziatdinov

CoRR, August, 2025

2024

Mapping causal pathways with structural modes fingerprint for perovskite oxides.

Ayana Ghosh, Saurabh Ghosh

Mach. Learn. Sci. Technol., 2024

Active causal learning for decoding chemical complexities with targeted interventions.

Zachary R. Fox, Ayana Ghosh

Mach. Learn. Sci. Technol., 2024

Active Deep Kernel Learning of Molecular Functionalities: Realizing Dynamic Structural Embeddings.

Ayana Ghosh, Maxim A. Ziatdinov, Sergei V. Kalinin

CoRR, 2024

Active Learning Surrogates for Integrating Electron Microscopy and Computational Insights from Simulations in Autonomous Experiments.

Gayathri Saranathan, Ayana Ghosh, Martin Foltin, Ann Mary Justine Koomthanam, Aalap Tripathy, Maxim A. Ziatdinov, Suparna Bhattacharya, Kevin Roccapriore, Paolo Faraboschi

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Towards FAIR Workflows for Federated Experimental Sciences.

Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Annmary Justine, Maxim A. Ziatdinov, Ayana Ghosh, Kevin Roccapriore, Supama Bhattacharya, Paolo Faraboschi

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023

Probe microscopy is all you need ^*.

Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov

Mach. Learn. Sci. Technol., June, 2023

Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy.

Sergei V. Kalinin, Debangshu Mukherjee, Kevin M. Roccapriore, Ben Blaiszik, Ayana Ghosh, Maxim A. Ziatdinov, Anees Al-Najjar, Christina Doty, Sarah Akers, Nageswara S. V. Rao, Joshua C. Agar, Steven R. Spurgeon

CoRR, 2023

Discovery of structure-property relations for molecules via hypothesis-driven active learning over the chemical space.

Ayana Ghosh, Sergei V. Kalinin, Maxim A. Ziatdinov

CoRR, 2023

Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning.

Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Maxim A. Ziatdinov, Ann Mary Justine Koomthanam, Suparna Bhattacharya, Ayana Ghosh, Kevin Roccapriore, Sreenivas Rangan Sukumar, Paolo Faraboschi

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy.

Maxim A. Ziatdinov, Ayana Ghosh, Chun Yin Wong, Sergei V. Kalinin

Nat. Mac. Intell., December, 2022

Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process.

Maxim A. Ziatdinov, Ayana Ghosh, Sergei V. Kalinin

Mach. Learn. Sci. Technol., 2022

Microscopy is All You Need.

Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov

CoRR, 2022

2021

AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond.

Maxim A. Ziatdinov, Ayana Ghosh, Tommy Wong, Sergei V. Kalinin

CoRR, 2021

Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy.

Sergei V. Kalinin, Maxim A. Ziatdinov, Jacob D. Hinkle, Stephen Jesse, Ayana Ghosh, Kyle P. Kelley, Andrew R. Lupini, Bobby G. Sumpter, Rama K. Vasudevan

CoRR, 2021

Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy.

Ayana Ghosh, Bobby G. Sumpter, Ondrej Dyck, Sergei V. Kalinin, Maxim A. Ziatdinov

CoRR, 2021