Andrew Oakleigh Nelson
Andrew Oakleigh Nelson
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Real-time pedestal optimization and ELM control with 3D fields and gas flows on DIII-D
FM Laggner, D Eldon, AO Nelson, C Paz-Soldan, A Bortolon, TE Evans, ...
Nuclear Fusion 60 (7), 076004, 2020
Hydrogen retention in lithium and lithium oxide films
L Buzi, Y Yang, FJ Domínguez-Gutiérrez, AO Nelson, M Hofman, ...
Journal of Nuclear Materials 502, 161-168, 2018
Offline contextual bayesian optimization
I Char, Y Chung, W Neiswanger, K Kandasamy, AO Nelson, M Boyer, ...
Advances in Neural Information Processing Systems 32, 2019
CAKE: Consistent automatic kinetic equilibrium reconstruction
ZA Xing, D Eldon, AO Nelson, MA Roelofs, WJ Eggert, O Izacard, ...
Fusion Engineering and Design 163, 112163, 2021
Setting the H-mode pedestal structure: variations of particle source location using gas puff and pellet fueling
AO Nelson, FM Laggner, R Groebner, BA Grierson, O Izacard, D Eldon, ...
Nuclear Fusion 60 (4), 046003, 2020
An improved theory of the response of DIII-D H-mode discharges to static resonant magnetic perturbations and its implications for the suppression of edge localized modes
R Fitzpatrick, AO Nelson
Physics of Plasmas 27 (7), 072501, 2020
Final report for the FY19 FES theory performance target
DR Hatch, MT Kotschenreuther, SM Mahajan, M Halfmoon, E Hassan, ...
USDOE Office of Science (SC), USA, 2019
Non-imaging Winston cone concentrators for submillimeter-wave, overmoded waveguide
EN Grossman, OD Friedman, AO Nelson
IEEE Transactions on Terahertz Science and Technology 4 (1), 65-74, 2013
Time-dependent experimental identification of inter-ELM microtearing modes in the tokamak edge on DIII-D
AO Nelson, FM Laggner, A Diallo, D Smith, ZA Xing, R Shousha, ...
Nuclear Fusion 61 (11), 116038, 2021
Simultaneous detection of neoclassical tearing mode and electron cyclotron current drive locations using electron cyclotron emission in DIII-D
AO Nelson, RJ La Haye, ME Austin, AS Welander, E Kolemen
Fusion Engineering and Design 141, 25-29, 2019
Neural dynamical systems: Balancing structure and flexibility in physical prediction
V Mehta, I Char, W Neiswanger, Y Chung, A Nelson, M Boyer, E Kolemen, ...
2021 60th IEEE Conference on Decision and Control (CDC), 3735-3742, 2021
Identifying the microtearing modes in the pedestal of DIII-D H-modes using gyrokinetic simulations
E Hassan, DR Hatch, MR Halfmoon, M Curie, MT Kotchenreuther, ...
Nuclear Fusion 62 (2), 026008, 2021
DominoSearch: Find layer-wise fine-grained N: M sparse schemes from dense neural networks
W Sun, A Zhou, S Stuijk, R Wijnhoven, AO Nelson, H Corporaal
Advances in Neural Information Processing Systems 34, 20721-20732, 2021
Experimental evidence of electron-cyclotron current drive-based neoclassical tearing mode suppression threshold reduction during mode locking on DIII-D
AO Nelson, NC Logan, W Choi, EJ Strait, E Kolemen
Plasma Physics and Controlled Fusion 62 (9), 094002, 2020
Offline contextual bayesian optimization for nuclear fusion
Y Chung, I Char, W Neiswanger, K Kandasamy, AO Nelson, MD Boyer, ...
arXiv preprint arXiv:2001.01793, 2020
New experimental capability to investigate the hypervelocity micrometeoroid bombardment of cryogenic surfaces
AO Nelson, R Dee, MS Gudipati, M Horányi, D James, S Kempf, T Munsat, ...
Review of Scientific Instruments 87 (2), 024502, 2016
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
Gyrokinetic analysis of inter-ELM transport mechanisms in DIII-D pedestals
MR Halfmoon, D Hatch, M Kotschenreuther, S Mahajan, A Nelson, ...
Phys. Plasmas (unpublished), 2022
Interpretative SOL modeling throughout multiple ELM cycles in DIII-D
AO Nelson, ZA Xing, O Izacard, FM Laggner, E Kolemen
Nuclear Materials and Energy 26, 100883, 2021
Neural dynamical systems
V Mehta, I Char, W Neiswanger, Y Chung, AO Nelson, MD Boyer, ...
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
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