| Charge transfer state characterization and voltage losses of organic solar cells A Jungbluth, P Kaienburg, M Riede Journal of Physics: Materials 5 (2), 024002, 2022 | 27 | 2022 |
| The role of spin in the degradation of organic photovoltaics I Ramirez, A Privitera, S Karuthedath, A Jungbluth, J Benduhn, A Sperlich, ... Nature Communications 12 (1), 471, 2021 | 24 | 2021 |
| Ultrafast Charge Dynamics in Dilute-Donor versus Highly Intermixed TAPC:C60 Organic Solar Cell Blends GJ Moore, M Causa’, JF Martinez Hardigree, S Karuthedath, I Ramirez, ... The journal of physical chemistry letters 11 (14), 5610-5617, 2020 | 20 | 2020 |
| Assessing the photovoltaic quality of vacuum‐thermal evaporated organic semiconductor blends P Kaienburg, A Jungbluth, I Habib, SV Kesava, M Nyman, MK Riede Advanced Materials 34 (22), 2107584, 2022 | 10 | 2022 |
| Rotnet: Fast and scalable estimation of stellar rotation periods using convolutional neural networks JE Johnson, S Sundaresan, T Daylan, L Gavilan, DK Giles, SI Silva, ... arXiv preprint arXiv:2012.01985, 2020 | 8 | 2020 |
| Vacuum-Deposited Donors for Low-Voltage-Loss Nonfullerene Organic Solar Cells P Kaienburg, H Bristow, A Jungbluth, I Habib, I McCulloch, D Beljonne, ... ACS Applied Materials & Interfaces 15 (26), 31684-31691, 2023 | 6 | 2023 |
| Single-frame super-resolution of solar magnetograms: Investigating physics-based metrics\& losses A Jungbluth, X Gitiaux, SA Maloney, C Shneider, PJ Wright, A Kalaitzis, ... arXiv preprint arXiv:1911.01490, 2019 | 6 | 2019 |
| Limiting factors for charge generation in low-offset fullerene-based organic solar cells A Jungbluth, E Cho, A Privitera, KM Yallum, P Kaienburg, AE Lauritzen, ... Nature communications 15 (1), 5488, 2024 | 3 | 2024 |
| Fewshot learning on global multimodal embeddings for earth observation tasks M Allen, F Dorr, JA Gallego-Mejia, L Martínez-Ferrer, A Jungbluth, ... arXiv preprint arXiv:2310.00119, 2023 | 3 | 2023 |
| Probing the energy levels of organic bulk heterojunctions by varying the donor content A Jungbluth, P Kaienburg, AE Lauritzen, T Derrien, M Riede APL Materials 11 (6), 2023 | 3 | 2023 |
| SuNeRF: 3D reconstruction of the solar EUV corona using Neural Radiance Fields R Jarolim, B Tremblay, A Muñoz-Jaramillo, KM Bintsi, A Jungbluth, ... The Astrophysical Journal Letters 961 (2), L31, 2024 | 2 | 2024 |
| The Use of Artificial Intelligence in ESA's Climate Change Initiative A Jungbluth, E Pechorro, C Albergel, S Mecklenburg EGU General Assembly Conference Abstracts, EGU-16813, 2023 | 2 | 2023 |
| 3D reconstructions of the solar atmosphere using neural radiance fields R Jarolim, M Bintsi, M Santos, B Tremblay, A Jungbluth, JP Mason, ... AGU Fall Meeting Abstracts 2022, SH45D-2368, 2022 | 2 | 2022 |
| Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms A Muñoz-Jaramillo, A Jungbluth, X Gitiaux, PJ Wright, C Shneider, ... The Astrophysical Journal Supplement Series 271 (2), 46, 2024 | 1 | 2024 |
| Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data M Allen, F Dorr, JA Gallego-Mejia, L Martínez-Ferrer, A Jungbluth, ... arXiv preprint arXiv:2310.00826, 2023 | 1 | 2023 |
| Enhancing Observational Capabilities of EUV-observing Satellites to Estimate Spectral Irradiance B Tremblay, A Jungbluth, R Jarolim, KM Bintsi, M Santos, ... AAS/Solar Physics Division Meeting 55 (7), 110.05, 2023 | 1 | 2023 |
| SuNeRF: Validation of a 3D Global Reconstruction of the Solar Corona Using Simulated EUV Images KM Bintsi, R Jarolim, B Tremblay, M Santos, A Jungbluth, JP Mason, ... arXiv preprint arXiv:2211.14879, 2022 | 1 | 2022 |
| Cross-calibration, super-resolution, and uncertainty estimation of the conversion of MDI and GONG to HMI full-disk magnetograms using deep learning A Munoz-Jaramillo, A Jungbluth, X Gitiaux, P Wright, C Shneider, ... American Astronomical Society Meeting Abstracts 53 (6), 123.03, 2021 | 1 | 2021 |
| Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties X Gitiaux, SA Maloney, A Jungbluth, C Shneider, PJ Wright, AG Baydin, ... arXiv preprint arXiv:1911.01486, 2019 | 1 | 2019 |
| 2024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction P Ebel, R Schneider, M Bonavita, M Clare, A Jungbluth, M Pourshamsi, ... npj Climate and Atmospheric Science 7 (1), 1-5, 2024 | | 2024 |
Andrés Muñoz JaramilloSouthWest Research InstituteVerified email at boulder.swri.edu
