| Using Gaia DR2 to constrain local dark matter density and thin dark disk J Buch, SCJ Leung, JJ Fan Journal of Cosmology and Astroparticle Physics 2019 (04), 026, 2019 | 118 | 2019 |
| PPPC 4 DM secondary: a Poor Particle Physicist Cookbook for secondary radiation from Dark Matter J Buch, M Cirelli, G Giesen, M Taoso Journal of Cosmology and Astroparticle Physics 2015 (09), 037, 2015 | 67 | 2015 |
| Galactic origin of relativistic bosons and XENON1T excess J Buch, MA Buen-Abad, JJ Fan, JSC Leung Journal of Cosmology and Astroparticle Physics 2020 (10), 051, 2020 | 34 | 2020 |
| Implications of the Gaia sausage for dark matter nuclear interactions J Buch, JJ Fan, JSC Leung Physical Review D 101 (6), 063026, 2020 | 22 | 2020 |
| Late decaying 2-component dark matter scenario as an explanation of the AMS-02 positron excess J Buch, P Ralegankar, V Rentala Journal of Cosmology and Astroparticle Physics 2017 (10), 028, 2017 | 17 | 2017 |
| Dark matter substructure under the electron scattering lamppost J Buch, MA Buen-Abad, JJ Fan, JSC Leung Physical Review D 102 (8), 083010, 2020 | 15 | 2020 |
| SMLFire1. 0: a stochastic machine learning (SML) model for wildfire activity in the western United States J Buch, AP Williams, CS Juang, WD Hansen, P Gentine Geoscientific Model Development 16 (12), 3407-3433, 2023 | 2 | 2023 |
| Learning fire spread dynamics with physics-constrained machine learning J Buch, A Jivani, X Huan, AP Williams, P Gentine APS March Meeting Abstracts 2023, W53. 003, 2023 | 1 | 2023 |
| Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science GP Langlois, J Buch, J Darbon arXiv preprint arXiv:2403.06816, 2024 | | 2024 |
| Determining Optimal Prescribed Fire Burning Periods Using a Graph Neural Network-Based PM2. 5 Emissions Forecasting System K Liao, J Buch, KD Lamb, P Gentine AGU23, 2024 | | 2024 |
| A new machine learning-based fire hazard index for forecasting wildfire risk in a warming climate J Buch, K Lamb, P Gentine AGU23, 2023 | | 2023 |
| Historical and future responses of western US forest fire and above-ground carbon to anthropogenic climate change P Williams, W Hansen, AT Trugman, J Abatzoglou, J Buch, CS Juang, ... AGU23, 2023 | | 2023 |
| First seasonal and subseasonal-to-seasonal scale forecasts of western US wildfire activity with a stochastic machine learning fire model (SMLFire1. 0) J Buch, P Williams, P Gentine AGU23, 2023 | | 2023 |
| Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM Emissions Forecasting System K Liao, J Buch, K Lamb, P Gentine arXiv preprint arXiv:2312.04291, 2023 | | 2023 |
| Seasonal forecasts of wildfire frequency and burned area in the western United States using a stochastic machine learning fire model J Buch, A Park Williams, P Gentine EGU General Assembly Conference Abstracts, EGU-11238, 2023 | | 2023 |
| An Updated Attribution of Western United States Forest Fire Trends to Anthropogenic Climate Change: 1984–2022 P Williams, W Hansen, AT Trugman, CS Juang, J Buch, J Abatzoglou AGU Fall Meeting Abstracts 2022, GC52C-07, 2022 | | 2022 |
| Disentangling the Effects of Meteorological Variability and Wildfires on PM2. 5 Concentrations in California using Machine Learning K Liao, K Lamb, J Buch, P Gentine AGU Fall Meeting Abstracts 2022, A16A-08, 2022 | | 2022 |
| A stochastic machine learning model of wildfire activity in the Western United States J Buch, P Williams, CS Juang, W Hansen, P Gentine AGU Fall Meeting Abstracts 2022, NH45F-0497, 2022 | | 2022 |
| Scaling properties of wildfire frequency and intensity in the western United States J Buch APS March Meeting Abstracts 2022, F10. 008, 2022 | | 2022 |
JiJi FanAssociate Professor of Physics, Brown UniversityVerified email at brown.edu
