| Automated and autonomous experiments in electron and scanning probe microscopy SV Kalinin, M Ziatdinov, J Hinkle, S Jesse, A Ghosh, KP Kelley, AR Lupini, ... ACS nano 15 (8), 12604-12627, 2021 | 155 | 2021 |
| AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy M Ziatdinov, A Ghosh, CY Wong, SV Kalinin Nature Machine Intelligence 4 (12), 1101-1112, 2022 | 153* | 2022 |
| Machine learning for automated experimentation in scanning transmission electron microscopy SV Kalinin, D Mukherjee, K Roccapriore, BJ Blaiszik, A Ghosh, ... npj Computational Materials 9 (1), 227, 2023 | 95 | 2023 |
| Electronic and magnetic properties of lanthanum and strontium doped bismuth ferrite: a first-principles study A Ghosh, DP Trujillo, H Choi, SM Nakhmanson, SP Alpay, JX Zhu Scientific Reports 9 (1), 194, 2019 | 79 | 2019 |
| Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process MA Ziatdinov, A Ghosh, SV Kalinin Machine Learning: Science and Technology 3 (1), 015003, 2022 | 77 | 2022 |
| Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy A Ghosh, BG Sumpter, O Dyck, SV Kalinin, M Ziatdinov npj Computational Materials 7 (1), 100, 2021 | 65* | 2021 |
| Probing electron beam induced transformations on a single-defect level via automated scanning transmission electron microscopy KM Roccapriore, MG Boebinger, O Dyck, A Ghosh, RR Unocic, SV Kalinin, ... ACS nano 16 (10), 17116-17127, 2022 | 56 | 2022 |
| Anion order in oxysulfide perovskites: origins and implications G Pilania, A Ghosh, ST Hartman, R Mishra, CR Stanek, BP Uberuaga npj Computational Materials 6 (1), 71, 2020 | 49 | 2020 |
| Insights into cation ordering of double perovskite oxides from machine learning and causal relations A Ghosh, G Palanichamy, DP Trujillo, M Shaikh, S Ghosh Chemistry of Materials 34 (16), 7563-7578, 2022 | 42 | 2022 |
| Assessment of machine learning approaches for predicting the crystallization propensity of active pharmaceutical ingredients A Ghosh, L Louis, KK Arora, BC Hancock, JF Krzyzaniak, P Meenan, ... CrystEngComm 21 (8), 1215-1223, 2019 | 42 | 2019 |
| Silicon epitaxy using tetrasilane at low temperatures in ultra-high vacuum chemical vapor deposition R Hazbun, J Hart, R Hickey, A Ghosh, N Fernando, S Zollner, TN Adam, ... Journal of Crystal Growth 444, 21-27, 2016 | 31 | 2016 |
| Machine learning study of magnetism in uranium-based compounds A Ghosh, F Ronning, SM Nakhmanson, JX Zhu Physical Review Materials 4 (6), 064414, 2020 | 29 | 2020 |
| Optical constants and band structure of trigonal NiO A Ghosh, CM Nelson, LS Abdallah, S Zollner Journal of Vacuum Science & Technology A 33 (6), 2015 | 29 | 2015 |
| Probe microscopy is all you need SV Kalinin, R Vasudevan, Y Liu, A Ghosh, K Roccapriore, M Ziatdinov Machine Learning: Science and Technology 4 (2), 023001, 2023 | 26 | 2023 |
| Towards physics-informed explainable machine learning and causal models for materials research A Ghosh Computational Materials Science 233, 112740, 2024 | 24 | 2024 |
| Stress and Curvature Effects in Layered 2D Ferroelectric CuInP2S6 Y Liu, AN Morozovska, A Ghosh, KP Kelley, EA Eliseev, J Yao, Y Liu, ... ACS nano 17 (21), 22004-22014, 2023 | 24 | 2023 |
| From atomically resolved imaging to generative and causal models SV Kalinin, A Ghosh, R Vasudevan, M Ziatdinov Nature Physics 18 (10), 1152-1160, 2022 | 24 | 2022 |
| Bridging microscopy with molecular dynamics and quantum simulations: An atomAI based pipeline A Ghosh, M Ziatdinov, O Dyck, BG Sumpter, SV Kalinin npj Computational Materials 8 (1), 74, 2022 | 22 | 2022 |
| A roadmap for edge computing enabled automated multidimensional transmission electron microscopy D Mukherjee, KM Roccapriore, A Al-Najjar, A Ghosh, JD Hinkle, ... Microscopy Today 30 (6), 10-19, 2022 | 21 | 2022 |
| Designing workflows for materials characterization SV Kalinin, M Ziatdinov, M Ahmadi, A Ghosh, K Roccapriore, Y Liu, ... Applied Physics Reviews 11 (1), 2024 | 20 | 2024 |
Sergei V. KalininWeston Fulton Chair Professor, UT Knoxville. Chief Scientist, AI/ML for Physical Sciences, PNNLVerified email at utk.edu
