Ayana Ghosh

17 papers Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop.
CoRR
Lance Yao, Suman Samantray, Ayana Ghosh, Kevin Roccapriore, Libor Kovarik, Sarah I. Allec, Maxim A. Ziatdinov
2024 J jnl
Active Causal Learning for Decoding Chemical Complexities with Targeted Interventions.
CoRR
Zachary R. Fox, Ayana Ghosh
2024 J jnl
Active Deep Kernel Learning of Molecular Functionalities: Realizing Dynamic Structural Embeddings.
CoRR
Ayana Ghosh, Maxim A. Ziatdinov, Sergei V. Kalinin
2024 — conf
Active Learning Surrogates for Integrating Electron Microscopy and Computational Insights from Simulations in Autonomous Experiments.
SC Workshops
Gayathri Saranathan, Ayana Ghosh, Martin Foltin, Ann Mary Justine Koomthanam, Aalap Tripathy, Maxim A. Ziatdinov, Suparna Bhattacharya, Kevin Roccapriore, Paolo Faraboschi
2024 J jnl
Active causal learning for decoding chemical complexities with targeted interventions.
Mach. Learn. Sci. Technol.
Zachary R. Fox, Ayana Ghosh
2024 J jnl
Mapping causal pathways with structural modes fingerprint for perovskite oxides.
Mach. Learn. Sci. Technol.
Ayana Ghosh, Saurabh Ghosh
2024 — conf
Towards FAIR Workflows for Federated Experimental Sciences.
CAI
Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Annmary Justine, Maxim A. Ziatdinov, Ayana Ghosh, Kevin Roccapriore, Supama Bhattacharya, Paolo Faraboschi
2023 J jnl
Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy.
CoRR
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
2023 J jnl
Discovery of structure-property relations for molecules via hypothesis-driven active learning over the chemical space.
CoRR
Ayana Ghosh, Sergei V. Kalinin, Maxim A. Ziatdinov
2023 J jnl
Probe microscopy is all you need
Mach. Learn. Sci. Technol.
Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov
2023 — conf
Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning.
SC Workshops
Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Maxim A. Ziatdinov, Ann Mary Justine Koomthanam, Suparna Bhattacharya, Ayana Ghosh, Kevin Roccapriore, Sreenivas Rangan Sukumar, Paolo Faraboschi
2022 J jnl
AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy.
Nat. Mac. Intell.
Maxim A. Ziatdinov, Ayana Ghosh, Chun Yin Wong, Sergei V. Kalinin
2022 J jnl
Microscopy is All You Need.
CoRR
Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov
2022 J jnl
Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process.
Mach. Learn. Sci. Technol.
Maxim A. Ziatdinov, Ayana Ghosh, Sergei V. Kalinin
2021 J jnl
AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond.
CoRR
Maxim A. Ziatdinov, Ayana Ghosh, Tommy Wong, Sergei V. Kalinin
2021 J jnl
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy.
CoRR
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
2021 J jnl
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy.
CoRR
Ayana Ghosh, Bobby G. Sumpter, Ondrej Dyck, Sergei V. Kalinin, Maxim A. Ziatdinov