The blind implosion-maker: Automated inertial confinement fusion experiment design
The design of inertial confinement fusion (ICF) experiments, alongside improving the development of energy density physics theory and experimental methods, is one of the key challenges in the quest for nuclear fusion as a viable energy source [O. A. Hurricane, J. Phys.: Conf. Ser. 717, 012005 (2016)...
Main Authors: | , , |
---|---|
Format: | Journal article |
Published: |
AIP Publishing
2019
|
_version_ | 1826266830373650432 |
---|---|
author | Hatfield, P Rose, S Scott, R |
author_facet | Hatfield, P Rose, S Scott, R |
author_sort | Hatfield, P |
collection | OXFORD |
description | The design of inertial confinement fusion (ICF) experiments, alongside improving the development of energy density physics theory and experimental methods, is one of the key challenges in the quest for nuclear fusion as a viable energy source [O. A. Hurricane, J. Phys.: Conf. Ser. 717, 012005 (2016)]. Recent challenges in achieving a high-yield implosion at the National Ignition Facility (NIF) have led to new interest in considering a much wider design parameter space than normally studied [J. L. Peterson et al., Phys. Plasmas 24, 032702 (2017)]. Here, we report an algorithmic approach that can produce reasonable ICF designs with minimal assumptions. In particular, we use the genetic algorithm metaheuristic, in which “populations” of implosions are simulated, the design of the capsule is described by a “genome,” natural selection removes poor designs, high quality designs are “mated” with each other based on their yield, and designs undergo “mutations” to introduce new ideas. We show that it takes ∼5 × 104 simulations for the algorithm to find an original NIF design. We also link this method to other parts of the design process and look toward a completely automated ICF experiment design process—changing ICF from an experiment design problem to an algorithm design problem. |
first_indexed | 2024-03-06T20:44:54Z |
format | Journal article |
id | oxford-uuid:358d227f-918b-416f-8b50-788337a277fd |
institution | University of Oxford |
last_indexed | 2024-03-06T20:44:54Z |
publishDate | 2019 |
publisher | AIP Publishing |
record_format | dspace |
spelling | oxford-uuid:358d227f-918b-416f-8b50-788337a277fd2022-03-26T13:32:37ZThe blind implosion-maker: Automated inertial confinement fusion experiment designJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:358d227f-918b-416f-8b50-788337a277fdSymplectic Elements at OxfordAIP Publishing2019Hatfield, PRose, SScott, RThe design of inertial confinement fusion (ICF) experiments, alongside improving the development of energy density physics theory and experimental methods, is one of the key challenges in the quest for nuclear fusion as a viable energy source [O. A. Hurricane, J. Phys.: Conf. Ser. 717, 012005 (2016)]. Recent challenges in achieving a high-yield implosion at the National Ignition Facility (NIF) have led to new interest in considering a much wider design parameter space than normally studied [J. L. Peterson et al., Phys. Plasmas 24, 032702 (2017)]. Here, we report an algorithmic approach that can produce reasonable ICF designs with minimal assumptions. In particular, we use the genetic algorithm metaheuristic, in which “populations” of implosions are simulated, the design of the capsule is described by a “genome,” natural selection removes poor designs, high quality designs are “mated” with each other based on their yield, and designs undergo “mutations” to introduce new ideas. We show that it takes ∼5 × 104 simulations for the algorithm to find an original NIF design. We also link this method to other parts of the design process and look toward a completely automated ICF experiment design process—changing ICF from an experiment design problem to an algorithm design problem. |
spellingShingle | Hatfield, P Rose, S Scott, R The blind implosion-maker: Automated inertial confinement fusion experiment design |
title | The blind implosion-maker: Automated inertial confinement fusion experiment design |
title_full | The blind implosion-maker: Automated inertial confinement fusion experiment design |
title_fullStr | The blind implosion-maker: Automated inertial confinement fusion experiment design |
title_full_unstemmed | The blind implosion-maker: Automated inertial confinement fusion experiment design |
title_short | The blind implosion-maker: Automated inertial confinement fusion experiment design |
title_sort | blind implosion maker automated inertial confinement fusion experiment design |
work_keys_str_mv | AT hatfieldp theblindimplosionmakerautomatedinertialconfinementfusionexperimentdesign AT roses theblindimplosionmakerautomatedinertialconfinementfusionexperimentdesign AT scottr theblindimplosionmakerautomatedinertialconfinementfusionexperimentdesign AT hatfieldp blindimplosionmakerautomatedinertialconfinementfusionexperimentdesign AT roses blindimplosionmakerautomatedinertialconfinementfusionexperimentdesign AT scottr blindimplosionmakerautomatedinertialconfinementfusionexperimentdesign |