| 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 | 69 | 2021 |
| 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 | 54 | 2019 |
| 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 | 34 | 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 | 34 | 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 | 33 | 2022 |
| AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond M Ziatdinov, A Ghosh, T Wong, SV Kalinin arXiv preprint arXiv:2105.07485, 2021 | 29 | 2021 |
| 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 | 28 | 2020 |
| 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 | 27 | 2016 |
| 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 | 25 | 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 | 23 | 2021 |
| 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 | 23 | 2015 |
| Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy A Ghosh, BG Sumpter, O Dyck, SV Kalinin, M Ziatdinov arXiv preprint arXiv:2101.08449, 2021 | 20 | 2021 |
| First-principles studies of spontaneous polarization in mixed poly (vinylidene fluoride)/2, 3, 3, 3-tetrafluoropropene polymer crystals A Ghosh, L Louis, AD Asandei, S Nakhmanson Soft matter 14 (13), 2484-2491, 2018 | 18 | 2018 |
| Temperature dependence of the interband critical points of bulk Ge and strained Ge on Si NS Fernando, TN Nunley, A Ghosh, CM Nelson, JA Cooke, AA Medina, ... Applied Surface Science 421, 905-912, 2017 | 17 | 2017 |
| 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 | 16 | 2022 |
| Machine learning study of magnetism in uranium-based compounds A Ghosh, F Ronning, SM Nakhmanson, JX Zhu Physical Review Materials 4 (6), 064414, 2020 | 14 | 2020 |
| 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 | 13 | 2022 |
| Polarization canting in ferroelectric diisopropylammonium-halide molecular crystals: a computational first principles study L Louis, KC Pitike, A Ghosh, S Poddar, S Ducharme, SM Nakhmanson Journal of Materials Chemistry C 6 (5), 1143-1152, 2018 | 13 | 2018 |
| From atomically resolved imaging to generative and causal models SV Kalinin, A Ghosh, R Vasudevan, M Ziatdinov Nature Physics 18 (10), 1152-1160, 2022 | 10 | 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 | 7 | 2022 |
Sergei V. KalininWeston Fulton Chair Professor, UT Knoxville. Chief Scientist, AI/ML for Physical Sciences, PNNLVerifierad e-postadress på utk.edu
