Tripled yield in direct-drive laser fusion through statistical modelling [Tripling the yield in direct-drive laser fusion via predictive statistical modeling]
- Univ. of Rochester, Rochester, NY (United States)
- Univ. of Rochester, Rochester, NY (United States); Politecnico di Milano, Milan (Italy)
- Univ. of Rochester, Rochester, NY (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Focusing laser light onto a very small target can produce the conditions for laboratory-scale nuclear fusion of hydrogen isotopes. The lack of accurate predictive models, which are essential for the design of high-performance laser-fusion experiments, is a major obstacle to achieving thermonuclear ignition. Here we report a statistical approach that was used to design and quantitatively predict the results of implosions of solid deuterium–tritium targets carried out with the 30-kilojoule OMEGA laser system, leading to tripling of the fusion yield to its highest value so far for direct-drive laser fusion. When scaled to the laser energies of the National Ignition Facility (1.9 megajoules), these targets are predicted to produce a fusion energy output of about 500 kilojoules—several times larger than the fusion yields currently achieved at that facility. As a result, this approach could guide the exploration of the vast parameter space of thermonuclear ignition conditions and enhance our understanding of laser-fusion physics.
- Research Organization:
- Univ. of Rochester, NY (United States). Lab. for Laser Energetics
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Contributing Organization:
- Laboratory for Laser Energetics, University of Rochester
- Grant/Contract Number:
- NA0001944
- OSTI ID:
- 1493448
- Report Number(s):
- 2018-88, 1463; 2018-88, 1463, 2420
- Journal Information:
- Nature (London), Vol. 565, Issue 7741; ISSN 0028-0836
- Publisher:
- Nature Publishing GroupCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
The blind implosion-maker: Automated inertial confinement fusion experiment design
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journal | June 2019 |
Interpreting the electron temperature inferred from x-ray continuum emission for direct-drive inertial confinement fusion implosions on OMEGA
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journal | August 2019 |
Neutron backscatter edge: A measure of the hydrodynamic properties of the dense DT fuel at stagnation in ICF experiments
|
journal | January 2020 |
Analysis of NIF scaling using physics informed machine learning
|
journal | January 2020 |
The Blind Implosion-Maker - Automated Inertial Confinement Fusion experiment design | text | January 2019 |
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