| Synthesis of borophane polymorphs through hydrogenation of borophene Q Li, VSC Kolluru, MS Rahn, E Schwenker, S Li, RG Hennig, P Darancet, ... Science 371 (6534), 1143-1148, 2021 | 129 | 2021 |
| Machine learning in scanning transmission electron microscopy SV Kalinin, C Ophus, PM Voyles, R Erni, D Kepaptsoglou, V Grillo, ... Nature Reviews Methods Primers 2 (1), 1-28, 2022 | 55 | 2022 |
| Effect of selenium and chlorine co-passivation in polycrystalline CdSeTe devices J Guo, A Mannodi-Kanakkithodi, FG Sen, E Schwenker, ES Barnard, ... Applied Physics Letters 115 (15), 153901, 2019 | 41 | 2019 |
| A two-stage framework for compound figure separation W Jiang, E Schwenker, T Spreadbury, N Ferrier, MKY Chan, O Cossairt 2021 IEEE International Conference on Image Processing (ICIP), 1204-1208, 2021 | 12 | 2021 |
| Ingrained: An Automated Framework for Fusing Atomic‐Scale Image Simulations into Experiments E Schwenker, VSC Kolluru, J Guo, R Zhang, X Hu, Q Li, JT Paul, ... Small 18 (19), 2102960, 2022 | 8 | 2022 |
| EXSCLAIM!--An automated pipeline for the construction of labeled materials imaging datasets from literature E Schwenker, W Jiang, T Spreadbury, N Ferrier, O Cossairt, MKY Chan arXiv preprint arXiv:2103.10631, 2021 | 8 | 2021 |
| An Autonomous Microscopy Workflow for Structure Determination from Atomic-Resolution Images E Schwenker, F Sen, C Ophus, T Paulauskas, J Guo, S Hills, R Klie, ... Microscopy and Microanalysis 24 (S1), 510-511, 2018 | 3 | 2018 |
| Plot2Spectra: an Automatic Spectra Extraction Tool W Jiang, E Schwenker, T Spreadbury, K Li, MKY Chan, O Cossairt arXiv preprint arXiv:2107.02827, 2021 | 2 | 2021 |
| An evolutionary algorithm approach to customization of non-individualized head related transfer functions ES Schwenker, GD Romigh Audio Engineering Society Convention 137, 2014 | 2 | 2014 |
| Constructing Self-Labeled Materials Imaging Datasets from Open Access Scientific Journals with EXSCLAIM! E Schwenker, W Jiang, T Spreadbury, S O'Brien, N Ferrier, O Cossairt, ... Microscopy and Microanalysis 26 (S2), 3096-3097, 2020 | 1 | 2020 |
| Leveraging First Principles Modeling and Machine Learning for Microscopy Data Inversion E Schwenker, F Sen, S Hills, T Pualauskas, C Sun, L Li, A Kinaci, ... Microscopy and Microanalysis 23 (S1), 178-179, 2017 | 1 | 2017 |
| Towards Individualized Spatial Audio via Latent Variable Modeling ES Schwenker, GD Romigh International Conference on Latent Variable Analysis and Signal Separation …, 2015 | 1 | 2015 |
| A hybrid image retrieval system for microscopy images W Jiang, E Schwenker, T Spreadbury, O Cossairt, MKY Chan Microscopy and Microanalysis 27 (S1), 474-476, 2021 | | 2021 |
| The Fully-Automated Nanoscale To Atomistic Structures from Theory and eXperiment (FANTASTX) code VSC Kolluru, E Schwenker, M Chan APS March Meeting Abstracts 2021, L61. 007, 2021 | | 2021 |
