Analysis of NIF scaling using physics informed machine learning

doi:10.1063/1.5130585

This content will become publicly available on January 16, 2021

Title: Analysis of NIF scaling using physics informed machine learning

Authors:

^[1];

^[2];

^[2]

The Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11790, USA
Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

Publication Date:: 2020-01-01

Sponsoring Org.:: USDOE

OSTI Identifier:: 1591980

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Physics of Plasmas

Additional Journal Information:: Journal Name: Physics of Plasmas Journal Volume: 27 Journal Issue: 1; Journal ID: ISSN 1070-664X

Publisher:: American Institute of Physics

Country of Publication:: United States

Language:: English

Citation Formats


                    Hsu, Abigail, Cheng, Baolian, and Bradley, Paul A. Analysis of NIF scaling using physics informed machine learning.  United States: N. p., 2020. 
        Web.  doi:10.1063/1.5130585.

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                    Hsu, Abigail, Cheng, Baolian, & Bradley, Paul A. Analysis of NIF scaling using physics informed machine learning.  United States.  doi:10.1063/1.5130585.

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                    Hsu, Abigail, Cheng, Baolian, and Bradley, Paul A. Wed .  
        "Analysis of NIF scaling using physics informed machine learning".  United States.  doi:10.1063/1.5130585.

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@article{osti_1591980,

  title        = {Analysis of NIF scaling using physics informed machine learning},

  author       = {Hsu, Abigail and Cheng, Baolian and Bradley, Paul A.},

  abstractNote = {},

  doi          = {10.1063/1.5130585},

  journal      = {Physics of Plasmas},

  number       = 1,

  volume       = 27,

  place        = {United States},

  year         = {2020},

  month        = {1}

}

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Similar Records

This content will become publicly available on January 16, 2021

Title: Analysis of NIF scaling using physics informed machine learning

Citation Formats

Progress towards ignition on the National Ignition Facility journal, July 2013

Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations journal, January 1909

Deep learning: A guide for practitioners in the physical sciences journal, August 2018

Integrating human and machine intelligence in galaxy morphology classification tasks journal, March 2018

The high velocity, high adiabat, “Bigfoot” campaign and tests of indirect-drive implosion scaling journal, May 2018

Tripled yield in direct-drive laser fusion through statistical modelling journal, January 2019

Review of hydro-instability experiments with alternate capsule supports in indirect-drive implosions on the National Ignition Facility journal, July 2018

Effects of preheat and mix on the fuel adiabat of an imploding capsule journal, December 2016

Fuel gain exceeding unity in an inertially confined fusion implosion journal, February 2014

Prediction Uncertainties beyond the Range of Experience: A Case Study in Inertial Confinement Fusion Implosion Experiments journal, January 2019

Approaching a burning plasma on the NIF journal, May 2019

Deep Neural Network Initialization With Decision Trees journal, May 2019

Capsule modeling of high foot implosion experiments on the National Ignition Facility journal, March 2017

Zonal flow generation in inertial confinement fusion implosions journal, March 2017

Using Sparse Gaussian Processes for Predicting Robust Inertial Confinement Fusion Implosion Yields journal, January 2019

Fusion Energy Output Greater than the Kinetic Energy of an Imploding Shell at the National Ignition Facility journal, June 2018

Analysis of NIF experiments with the minimal energy implosion model journal, August 2015

Ensemble simulations of inertial confinement fusion implosions journal, May 2017

The National Ignition Facility: enabling fusion ignition for the 21st century journal, November 2004

Reduced instability growth with high-adiabat high-foot implosions at the National Ignition Facility journal, July 2014

Achievement of Sustained Net Plasma Heating in a Fusion Experiment with the Optometrist Algorithm journal, July 2017

Making inertial confinement fusion models more predictive journal, August 2019

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Photometric redshifts for the next generation of deep radio continuum surveys – I. Template fitting journal, October 2017

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A sparse Gaussian process framework for photometric redshift estimation journal, November 2015

Ignition and pusher adiabat journal, June 2018

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A high-bias, low-variance introduction to Machine Learning for physicists journal, May 2019

Improving photometric redshift estimation using GPz: size information, post processing, and improved photometry journal, December 2017

Effects of asymmetry and hot-spot shape on ignition capsules journal, August 2018

Scaling laws for ignition at the National Ignition Facility from first principles journal, October 2013

Three-dimensional modeling and hydrodynamic scaling of National Ignition Facility implosions journal, May 2019

On thermonuclear ignition criterion at the National Ignition Facility journal, October 2014

Toward a burning plasma state using diamond ablator inertially confined fusion (ICF) implosions on the National Ignition Facility (NIF) journal, November 2018

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Effects of residual kinetic energy on yield degradation and ion temperature asymmetries in inertial confinement fusion implosions journal, May 2018

Progress towards ignition on the National Ignition Facility
journal, July 2013

Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
journal, January 1909

Deep learning: A guide for practitioners in the physical sciences
journal, August 2018

Integrating human and machine intelligence in galaxy morphology classification tasks
journal, March 2018

The high velocity, high adiabat, “Bigfoot” campaign and tests of indirect-drive implosion scaling
journal, May 2018

Tripled yield in direct-drive laser fusion through statistical modelling
journal, January 2019

Review of hydro-instability experiments with alternate capsule supports in indirect-drive implosions on the National Ignition Facility
journal, July 2018

Effects of preheat and mix on the fuel adiabat of an imploding capsule
journal, December 2016

Fuel gain exceeding unity in an inertially confined fusion implosion
journal, February 2014

Prediction Uncertainties beyond the Range of Experience: A Case Study in Inertial Confinement Fusion Implosion Experiments
journal, January 2019

Approaching a burning plasma on the NIF
journal, May 2019

Deep Neural Network Initialization With Decision Trees
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Capsule modeling of high foot implosion experiments on the National Ignition Facility
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Zonal flow generation in inertial confinement fusion implosions
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Using Sparse Gaussian Processes for Predicting Robust Inertial Confinement Fusion Implosion Yields
journal, January 2019

Fusion Energy Output Greater than the Kinetic Energy of an Imploding Shell at the National Ignition Facility
journal, June 2018

Analysis of NIF experiments with the minimal energy implosion model
journal, August 2015

Ensemble simulations of inertial confinement fusion implosions
journal, May 2017

The National Ignition Facility: enabling fusion ignition for the 21st century
journal, November 2004

Reduced instability growth with high-adiabat high-foot implosions at the National Ignition Facility
journal, July 2014

Achievement of Sustained Net Plasma Heating in a Fusion Experiment with the Optometrist Algorithm
journal, July 2017

Making inertial confinement fusion models more predictive
journal, August 2019

Implosion performance of subscale beryllium capsules on the NIF
journal, May 2019

Photometric redshifts for the next generation of deep radio continuum surveys – I. Template fitting
journal, October 2017

Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm
journal, September 2004

A sparse Gaussian process framework for photometric redshift estimation
journal, November 2015

Ignition and pusher adiabat
journal, June 2018

GPz: non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts
journal, July 2016

A high-bias, low-variance introduction to Machine Learning for physicists
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journal, December 2017

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journal, August 2018

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journal, October 2013

Three-dimensional modeling and hydrodynamic scaling of National Ignition Facility implosions
journal, May 2019

On thermonuclear ignition criterion at the National Ignition Facility
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Toward a burning plasma state using diamond ablator inertially confined fusion (ICF) implosions on the National Ignition Facility (NIF)
journal, November 2018

The blind implosion-maker: Automated inertial confinement fusion experiment design
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Capsule physics comparison of National Ignition Facility implosion designs using plastic, high density carbon, and beryllium ablators
journal, March 2018

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