The data-driven future of high-energy-density physics

Special Issue on Machine Learning, Data Science, and Artificial Intelligence in Plasma Research

(2020) Zhehui Wang et al.   IEEE TRANSACTIONS ON PLASMA SCIENCE

Analysis of NIF scaling using physics informed machine learning

(2020) Abigail Hsu et al.   PHYSICS OF PLASMAS

Machine learning control for disruption and tearing mode avoidance

(2020) Yichen Fu et al.   PHYSICS OF PLASMAS

Fast modeling of turbulent transport in fusion plasmas using neural networks

(2020) K. L. van de Plassche et al.   PHYSICS OF PLASMAS

High-efficiency neutron source generation from photonuclear reactions driven by laser plasma accelerator

(2020) Jie Feng et al.   High Energy Density Physics

Hydro-scaling of direct-drive cylindrical implosions at the OMEGA and the National Ignition Facility

(2020) S. Palaniyappan et al.   PHYSICS OF PLASMAS

Deep learning for NLTE spectral opacities

(2020) G. Kluth et al.   PHYSICS OF PLASMAS

Quantitative metrics for evaluating thermonuclear design codes and physics models applied to the National Ignition Campaign

(2020) Guy Dimonte   PHYSICS OF PLASMAS

Improved surrogates in inertial confinement fusion with manifold and cycle consistencies

(2020) Rushil Anirudh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Bayesian Inference of Quasi‐Linear Radial Diffusion Parameters using Van Allen Probes

(2020) Rakesh Sarma et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS

The physics of river prediction

(2020) Sean W. Fleming et al.   PHYSICS TODAY

Automation and control of laser wakefield accelerators using Bayesian optimization

(2020) R. J. Shalloo et al.   Nature Communications

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Tripled yield in direct-drive laser fusion through statistical modelling

(2019) V. Gopalaswamy et al.   NATURE

Predicting disruptive instabilities in controlled fusion plasmas through deep learning

(2019) Julian Kates-Harbeck et al.   NATURE

Identifying transient and variable sources in radio images

(2019) A. Rowlinson et al.   Astronomy and Computing

Laser wakefield acceleration with active feedback at 5 Hz

(2019) S. J. D. Dann et al.   Physical Review Accelerators and Beams

Systematic Study of L -Shell Opacity at Stellar Interior Temperatures

(2019) T. Nagayama et al.   PHYSICAL REVIEW LETTERS

The blind implosion-maker: Automated inertial confinement fusion experiment design

(2019) P. W. Hatfield et al.   PHYSICS OF PLASMAS

The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting

(2019) E. Camporeale   SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS

Making inertial confinement fusion models more predictive

(2019) Jim A. Gaffney et al.   PHYSICS OF PLASMAS

Identifying Solar Flare Precursors Using Time Series of SDO/HMI Images and SHARP Parameters

(2019) Yang Chen et al.   SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS

A hybrid deep learning architecture for classification of microscopic damage on National Ignition Facility laser optics

(2019) Connor Amorin et al.   Statistical Analysis and Data Mining

A deep learning model to emulate simulations of cosmic reionization

(2019) Jonathan Chardin et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Inverse problem instabilities in large-scale modeling of matter in extreme conditions

(2019) M. F. Kasim et al.   PHYSICS OF PLASMAS

Using Sparse Gaussian Processes for Predicting Robust Inertial Confinement Fusion Implosion Yields

(2019) Peter Hatfield et al.   IEEE TRANSACTIONS ON PLASMA SCIENCE

Transfer Learning as a Tool for Reducing Simulation Bias: Application to Inertial Confinement Fusion

(2019) Bogdan Kustowski et al.   IEEE TRANSACTIONS ON PLASMA SCIENCE

Transfer Learning to Model Inertial Confinement Fusion Experiments

(2019) K. D. Humbird et al.   IEEE TRANSACTIONS ON PLASMA SCIENCE

Astrophysical Black Holes: A Compact Pedagogical Review

(2018) Cosimo Bambi   ANNALEN DER PHYSIK

Temporal feedback control of high-intensity laser pulses to optimize ultrafast heating of atomic clusters

(2018) M. J. V. Streeter et al.   APPLIED PHYSICS LETTERS

Conservative cosmology: combining data with allowance for unknown systematics

(2018) José Luis Bernal et al.   JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS

Experimental evidence for superionic water ice using shock compression

(2018) Marius Millot et al.   Nature Physics

Hybrid neural network for density limit disruption prediction and avoidance on J-TEXT tokamak

(2018) W. Zheng et al.   NUCLEAR FUSION

Research towards high-repetition rate laser-driven X-ray sources for imaging applications

(2018) J. Götzfried et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

Spectral Feature Extraction for DB White Dwarfs Through Machine Learning Applied to New Discoveries in the Sdss DR12 and DR14

(2018) Xiao Kong et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC

An automated design process for short pulse laser driven opacity experiments

(2018) M.E. Martin et al.   High Energy Density Physics

Laboratory evidence of dynamo amplification of magnetic fields in a turbulent plasma

(2018) P. Tzeferacos et al.   Nature Communications

Deep learning: A guide for practitioners in the physical sciences

(2018) Brian K. Spears et al.   PHYSICS OF PLASMAS

Collimated ultrabright gamma rays from electron wiggling along a petawatt laser-irradiated wire in the QED regime

(2018) Wei-Min Wang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Insulator-metal transition in dense fluid deuterium

(2018) Peter M. Celliers et al.   SCIENCE

A Variational Approach to Data Assimilation in the Solar Wind

(2018) Matthew Lang et al.   SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS

Deep Neural Network Initialization With Decision Trees

(2018) Kelli D. Humbird et al.   IEEE Transactions on Neural Networks and Learning Systems

Self-consistent core-pedestal transport simulations with neural network accelerated models

(2017) O. Meneghini et al.   NUCLEAR FUSION

Zonal flow generation in inertial confinement fusion implosions

(2017) J. L. Peterson et al.   PHYSICS OF PLASMAS

The Economic Impact of Space Weather: Where Do We Stand?

(2017) J. P. Eastwood et al.   RISK ANALYSIS

Status of the SACLA Facility

(2017) Makina Yabashi et al.   Applied Sciences-Basel

Ensemble simulations of inertial confinement fusion implosions

(2017) Ryan Nora et al.   Statistical Analysis and Data Mining

Empirical Modeling of the Plasmasphere Dynamics Using Neural Networks

(2017) Irina S. Zhelavskaya et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS

Classification of Solar Wind With Machine Learning

(2017) Enrico Camporeale et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS

A generalized Bayesian inference method for constraining the interiors of super Earths and sub-Neptunes

(2016) Caroline Dorn et al.   ASTRONOMY & ASTROPHYSICS

Using machine learning to explore the long-term evolution of GRS 1915+105

(2016) Daniela Huppenkothen et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Measurement of high-dynamic range x-ray Thomson scattering spectra for the characterization of nano-plasmas at LCLS

(2016) M. J. MacDonald et al.   REVIEW OF SCIENTIFIC INSTRUMENTS

A generalized Bayesian inference method for constraining the interiors of super Earths and sub-Neptunes

(2016) Caroline Dorn et al.   ASTRONOMY & ASTROPHYSICS

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

Laser performance of the SG-III laser facility

(2016) Wanguo Zheng et al.   High Power Laser Science and Engineering

A higher-than-predicted measurement of iron opacity at solar interior temperatures

(2015) J. E. Bailey et al.   NATURE

From microjoules to megajoules and kilobars to gigabars: Probing matter at extreme states of deformation

(2015) Bruce A. Remington et al.   PHYSICS OF PLASMAS

Ramp compression of diamond to five terapascals

(2014) R. F. Smith et al.   NATURE

Experimental Demonstration of Fusion-Relevant Conditions in Magnetized Liner Inertial Fusion

(2014) M. R. Gomez et al.   PHYSICAL REVIEW LETTERS

Development of a Bayesian method for the analysis of inertial confinement fusion experiments on the NIF

(2013) J.A. Gaffney et al.   NUCLEAR FUSION

Bayesian inference of inaccuracies in radiation transport physics from inertial confinement fusion experiments

(2013) J.A. Gaffney et al.   High Energy Density Physics

High-Gain Magnetized Inertial Fusion

(2012) Stephen A. Slutz et al.   PHYSICAL REVIEW LETTERS

Focus on Laser- and Beam-Driven Plasma Accelerators

(2010) Chan Joshi et al.   NEW JOURNAL OF PHYSICS