| Yield Estimates for the Six North Korean Nuclear Tests From Teleseismic P Wave Modeling and Intercorrelation of P and Pn Recordings DP Voytan, T Lay, EJ Chaves, JT Ohman Journal of Geophysical Research: Solid Earth 124 (5), 4916-4939, 2019 | 26 | 2019 |
| Wave propagation with physics informed neural networks D Voytan, MK Sen SEG International Exposition and Annual Meeting, D031S068R004, 2020 | 18 | 2020 |
| Yield Estimate (230 kt) for a Mueller‐Murphy Model of the 3 September 2017, North Korean Nuclear Test (mbNEIC = 6.3) From Teleseismic Broadband P Waves … EJ Chaves, T Lay, DP Voytan Geophysical Research Letters 45 (19), 10,314-10,322, 2018 | 12 | 2018 |
| Mitigating elastic effects of acoustic full-waveform inversion with deep learning and application to field data D Voytan, A Gomes, D Datta, RÉ Plessix, A Chandran, K Matson SEG International Exposition and Annual Meeting, D011S045R004, 2022 | 1 | 2022 |
| Intercorrelation of P and Pn recordings for the North Korean nuclear tests T Lay, D Voytan, J Ohman AGU Fall Meeting Abstracts 2017, S34C-03, 2017 | 1 | 2017 |
| Source characteristics of the 3 September 2017, North Korean nuclear test (mb = 6.3) inferred from teleseismic forward modeling and regional waveform … EJ Chaves, T Lay, DP Voytan AGU Fall Meeting Abstracts 2017, S43H-2962, 2017 | 1 | 2017 |
| Reliability for machine-learning based image generation A Ardel, E Liebman, M Sen, GA Dimakis, Y Gandhi, S Ravula, D Voytan US Patent App. 18/046,061, 2023 | | 2023 |
| Image artifact reduction using filter data based on deep image prior operations A Ardel, E Liebman, M Sen, GA Dimakis, Y Gandhi, S Ravula, D Voytan US Patent App. 18/046,043, 2023 | | 2023 |
| Artifact reduction for solutions to inverse problems A Ardel, E Liebman, MK Sen, GA Dimakis, Y Gandhi, S Ravula, D Voytan US Patent App. 18/046,000, 2023 | | 2023 |
| Data selection for image generation A Ardel, E Liebman, M Sen, GA Dimakis, Y Gandhi, S Ravula, D Voytan US Patent App. 18/046,025, 2023 | | 2023 |
