| Spectrally tunable infrared plasmonic F, Sn: In2O3 nanocrystal cubes SH Cho, KM Roccapriore, CK Dass, S Ghosh, J Choi, J Noh, LC Reimnitz, ... The Journal of Chemical Physics 152 (1), 2020 | 46 | 2020 |
| Physics discovery in nanoplasmonic systems via autonomous experiments in scanning transmission electron microscopy KM Roccapriore, SV Kalinin, M Ziatdinov Advanced Science 9 (36), 2203422, 2022 | 44 | 2022 |
| Automated experiment in 4D-STEM: exploring emergent physics and structural behaviors KM Roccapriore, O Dyck, MP Oxley, M Ziatdinov, SV Kalinin ACS nano 16 (5), 7605-7614, 2022 | 42 | 2022 |
| 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 | 35 | 2022 |
| Pulsed-laser epitaxy of metallic delafossite PdCrO2 films JM Ok, M Brahlek, WS Choi, KM Roccapriore, MF Chisholm, S Kim, ... APL Materials 8 (5), 2020 | 35 | 2020 |
| 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 | 28 | 2023 |
| Predictability of localized plasmonic responses in nanoparticle assemblies KM Roccapriore, M Ziatdinov, SH Cho, JA Hachtel, SV Kalinin Small 17 (21), 2100181, 2021 | 28 | 2021 |
| Separating physically distinct mechanisms in complex infrared plasmonic nanostructures via machine learning enhanced electron energy loss spectroscopy SV Kalinin, KM Roccapriore, SH Cho, DJ Milliron, R Vasudevan, ... Advanced Optical Materials 9 (13), 2001808, 2021 | 17 | 2021 |
| Revealing the chemical bonding in adatom arrays via machine learning of hyperspectral scanning tunneling spectroscopy data KM Roccapriore, Q Zou, L Zhang, R Xue, J Yan, M Ziatdinov, M Fu, ... ACS nano 15 (7), 11806-11816, 2021 | 17 | 2021 |
| Human-in-the-Loop: The Future of Machine Learning in Automated Electron Microscopy SV Kalinin, Y Liu, A Biswas, G Duscher, U Pratiush, K Roccapriore, ... Microscopy Today 32 (1), 35-41, 2024 | 15 | 2024 |
| Enabling autonomous electron microscopy for networked computation and steering A Al-Najjar, NSV Rao, R Sankaran, M Ziatdinov, D Mukherjee, ... 2022 IEEE 18th International Conference on e-Science (e-Science), 267-277, 2022 | 14 | 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 | 11 | 2022 |
| 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 | 10 | 2023 |
| Identification and correction of temporal and spatial distortions in scanning transmission electron microscopy KM Roccapriore, N Creange, M Ziatdinov, SV Kalinin Ultramicroscopy 229, 113337, 2021 | 10 | 2021 |
| Designing workflows for materials characterization SV Kalinin, M Ziatdinov, M Ahmadi, A Ghosh, K Roccapriore, Y Liu, ... Applied Physics Reviews 11 (1), 2024 | 9 | 2024 |
| Machine learning for automated experimentation in scanning transmission electron microscopy. npj Comput SV Kalinin, D Mukherjee, K Roccapriore, BJ Blaiszik, A Ghosh, ... Mater 9, 227, 2023 | 9 | 2023 |
| Room-temperature large magnetoelectricity in a transition metal doped ferroelectric perovskite S Kumari, DK Pradhan, S Liu, MM Rahaman, P Zhou, KM Roccapriore, ... Physical Review B 104 (17), 174415, 2021 | 9 | 2021 |
| Structure and electronic properties of InSb nanowires grown in flexible polycarbonate membranes AP Singh, K Roccapriore, Z Algarni, R Salloom, TD Golden, U Philipose Nanomaterials 9 (9), 1260, 2019 | 9 | 2019 |
| AEcroscopy: A Software–Hardware Framework Empowering Microscopy Toward Automated and Autonomous Experimentation Y Liu, K Roccapriore, M Checa, SM Valleti, JC Yang, S Jesse, ... Small Methods, 2301740, 2024 | 8 | 2024 |
| Autonomous synthesis of thin film materials with pulsed laser deposition enabled by in situ spectroscopy and automation SB Harris, A Biswas, SJ Yun, KM Roccapriore, CM Rouleau, AA Puretzky, ... Small Methods, 2301763, 2024 | 7 | 2024 |
Sergei V. KalininWeston Fulton Chair Professor, UT Knoxville. Chief Scientist, AI/ML for Physical Sciences, PNNLVerificeret mail på utk.edu