| DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy ME Fenstermacher, J Abbate, S Abe, T Abrams, M Adams, B Adamson, ... Nuclear Fusion 62 (4), 042024, 2022 | 19 | 2022 |
| The impact of disruptions on the economics of a tokamak power plant AD Maris, A Wang, C Rea, R Granetz, E Marmar Fusion Science and Technology, 1-17, 2023 | 8 | 2023 |
| Chaos in the quantum Duffing oscillator in the semiclassical regime under parametrized dissipation AD Maris, B Pokharel, SG Seshachallam, MZR Misplon, AK Pattanayak arXiv preprint arXiv:2011.00118, 2020 | 3 | 2020 |
| Integrated design of a pulsed, modular, negative triangularity pilot plant concept H Wilson, D Arnold, W Boyes, R Chandra, H Choudhury, N Dasilva, ... APS Division of Plasma Physics Meeting Abstracts 2023, BP11. 131, 2023 | 1 | 2023 |
| Data augmentation for disruption prediction via robust surrogate models K Rath, D Rügamer, B Bischl, U von Toussaint, C Rea, A Maris, R Granetz, ... Journal of Plasma Physics 88 (5), 895880502, 2022 | 1 | 2022 |
| Enabling Commercial Fusion: Venture & Technology Opportunities for a Growing Fusion Industry D Cohen-Tanugi, R Delaporte-Mathurin, M Handley, S Meschini, A Maris, ... | | 2024 |
| Autoregressive Transformers for Disruption Prediction in Nuclear Fusion Plasmas L Spangher, W Arnold, A Spangher, A Maris, C Rea arXiv preprint arXiv:2401.00051, 2023 | | 2023 |
| Investigating boosted decision trees as a guide for inertial confinement fusion design AD Maris, SF Khan, MM Pokornik, JL Peterson, KD Humbird, SW Haan Physics of Plasmas 30 (4), 2023 | | 2023 |
| Are there disruption forces in stellarators? R Granetz, T Pedersen, D Anderson, Z Keith, A Maris APS Division of Plasma Physics Meeting Abstracts 2023, GP11. 127, 2023 | | 2023 |
| Data-driven tokamak density limit boundary identification A Maris, A Pau, W Hu, C Rea, R Granetz, E Marmar APS Division of Plasma Physics Meeting Abstracts 2023, BP11. 108, 2023 | | 2023 |
| Overview of SPARC disruption prediction and avoidance research C Rea, P Kaloyannis, Z Keith, A Maris, A Saperstein, L Spangher, ... APS Division of Plasma Physics Meeting Abstracts 2023, JP11. 120, 2023 | | 2023 |
| Preparing for Disruptions in the SPARC Q> 1 Campaign R Sweeney, D Battaglia, A Battey, S Benjamin, T Body, J Boguski, ... APS Division of Plasma Physics Meeting Abstracts 2023, JP11. 119, 2023 | | 2023 |
| The impact of rapid thermal loss events on the economics of stellarator and tokamak power plants A Maris, Z Keith, C Rea, R Granetz APS Division of Plasma Physics Meeting Abstracts 2023, GP11. 128, 2023 | | 2023 |
| Interpretable Machine Learning Accelerating Fusion Research C Rea, J Zhu, R Granetz, K Montes, R Tinguely, R Sweeney, N Howard, ... APS Division of Plasma Physics Meeting Abstracts 2022, CT02. 001, 2022 | | 2022 |
| Disruption Research for SPARC C Rea, R Sweeney, R Tinguely, R Granetz, D Garnier, B Stein-Lubrano, ... APS Division of Plasma Physics Meeting Abstracts 2022, NO03. 007, 2022 | | 2022 |
| Deep Learning with ICF Experimental Data M Pokornik, A Maris, S Khan, L Peterson, K Humbird APS Division of Plasma Physics Meeting Abstracts 2021, PP11. 166, 2021 | | 2021 |
| Disruption physics driving the SPARC design R Sweeney, V Riccardo, D Garnier, R Granetz, M Greenwald, A Maris, ... APS Division of Plasma Physics Meeting Abstracts 2021, JO07. 005, 2021 | | 2021 |
| Identifying physical disruption boundaries in Alcator C-Mod using linear Support Vector Machines A Maris, C Rea, R Granetz, E Olofsson, D Garnier APS Division of Plasma Physics Meeting Abstracts 2021, JP11. 058, 2021 | | 2021 |
| Applying Machine Learning Techniques on ICF Performance using Experimental Data M Pokornik, A Maris, S Khan, L Peterson, K Humbird APS Division of Plasma Physics Meeting Abstracts 2021, TO07. 006, 2021 | | 2021 |
| Positional Dependence of Pulse Shape Discrimination (PSD) in a Monolithic CLLB Crystal RS Woolf, BF Phlips, AL Hutcheson, AD Maris, EA Wulf 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | | 2020 |
Shahab F. KhanLawrence Livermore National LaboratoryVerified email at llnl.gov
