selected publications
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book
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chapter
- Chapter 4 - Regression. Ed. Camporeale, Enrico. 2018
- Chapter 9 - Probabilistic Forecasting of Geomagnetic Indices Using Gaussian Process Models. Ed. Camporeale, Enrico. 237-237. 2018
- Chapter 6: Untangling the Solar Wind Drivers of the Radiation Belt: An Information Theoretical Approach. 149-149. 2018
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Dawn‐Dusk Asymmetries in the Auroral Particle Precipitation and Their Modulations by Substorms.
255-272.
2017
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conference proceeding
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journal article
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Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction.
Space Weather.
2023
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Artificial Intelligence to Enhance Mission Science Output for In-situ Observations: Sparse Data Challenge and Gray-Box Models
2023
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Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction
2023
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Physics-informed Machine Learning prediction of ambient solar wind speed
2023
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Multi-Hour-Ahead Dst Index Prediction Using Multi-Fidelity Boosted Neural Networks.
Space Weather.
2023
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Editorial: Machine learning and statistical methods for solar flare prediction.
Frontiers in Astronomy and Space Sciences.
2023
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Ensemble Modeling of Radiation Belt Electron Acceleration by Chorus Waves: Dependence on Key Input Parameters.
Space Weather.
2023
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Prediction Interval of Interface Regions: Machine Learning Nowcasting Approach.
Space Weather.
2023
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Parameter Distributions for the Drag-Based Modeling of CME Propagation.
Space Weather.
2022
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Ensemble Modeling of Radiation Belt Electron Flux Decay Following a Geomagnetic Storm: Dependence on Key Input Parameters.
Space Weather.
2022
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New Findings From Explainable SYM-H Forecasting Using Gradient Boosting Machines.
Space Weather.
2022
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Probabilistic Prediction of Dst Storms One-Day-Ahead Using Full-Disk SoHO Images.
Space Weather.
2022
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Data-Driven Discovery of Fokker-Planck Equation for the Earth's Radiation Belts Electrons Using Physics-Informed Neural Networks.
Journal of Geophysical Research: Space Physics.
2022
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New Findings from Explainable SYM-H Forecasting using Gradient Boosting Machines
2022
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Machine Learning Methods Applied to the Global Modeling of Event-Driven Pitch Angle Diffusion Coefficients During High Speed Streams.
Frontiers in Physics.
2022
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Data-driven discovery of Fokker-Planck equation for the Earth's radiation belts electrons using Physics-Informed Neural Networks
2022
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Space Weather research in the Digital Age and across the full data lifecycle: Introduction to the Topical Issue PREFACE.
Journal of Space Weather and Space Climate.
2021
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An interpretable machine learning method for forecasting the SYM-H Index
2021
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An interpretable machine learning method for forecasting the SYM-H index
2021
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Machine-learning based discovery of missing physical processes in radiation belt modeling
2021
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Connecting large-scale velocity and temperature bursts with small-scale intermittency in stratified turbulence.
Europhysics Letters: a letters journal exploring the frontiers of physics.
2021
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Ten Ways to Apply Machine Learning in Earth and Space Sciences.
Eos, Transactions American Geophysical Union.
2021
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Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress).
Space Weather.
2021
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ACCRUE: ACCURATE AND RELIABLE UNCERTAINTY ESTIMATE IN DETERMINISTIC MODELS.
International Journal for Uncertainty Quantification.
81-94.
2021
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A Gray-Box Model for a Probabilistic Estimate of Regional Ground Magnetic Perturbations: Enhancing the NOAA Operational Geospace Model With Machine Learning.
Journal of Geophysical Research: Space Physics.
2020
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Identifying Magnetic Reconnection in 2D Hybrid Vlasov Maxwell Simulations with Convolutional Neural Networks.
The Astrophysical Journal: an international review of astronomy and astronomical physics.
2020
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Space-filter techniques for quasi-neutral hybrid-kinetic models.
Physics of Plasmas.
2020
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Bayesian Inference of Quasi-Linear Radial Diffusion Parameters using Van Allen Probes.
Journal of Geophysical Research: Space Physics.
2020
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ML-Helio: An Emerging Community at the Intersection Between Heliophysics and Machine Learning.
Journal of Geophysical Research: Space Physics.
2020
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ViDA: a Vlasov-DArwin solver for plasma physics at electron scales.
Journal of Plasma Physics.
2019
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The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting.
Space Weather.
1166-1207.
2019
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Fourier-Hermite decomposition of the collisional Vlasov-Maxwell system: implications for the velocity-space cascade.
Plasma Physics and Controlled Fusion.
2019
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On the Generation of Probabilistic Forecasts From Deterministic Models.
Space Weather.
455-475.
2019
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Multiple-Hour-Ahead Forecast of the Dst Index Using a Combination of Long Short-Term memory Neural Network and Gaussian Process.
Space Weather.
1882-1896.
2018
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Transfer entropy and cumulant-based cost as measures of nonlinear causal relationships in space plasmas: applications to <i>D</i><sub>st</sub>.
Annales Geophysicae: atmospheres, hydrospheres and space sciences.
945-952.
2018
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Coherent Structures and Spectral Energy Transfer in Turbulent Plasma: A Space-Filter Approach.
Physical Review Letters.
2018
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Space Weather in the Machine Learning Era: A Multidisciplinary Approach.
Space Weather.
2-4.
2018
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Classification of Solar Wind With Machine Learning.
Journal of Geophysical Research: Space Physics.
10910-10920.
2017
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Probabilistic forecasting of the disturbance storm time index: An autoregressive Gaussian process approach.
Space Weather.
1004-1019.
2017
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Electron inertia and quasi-neutrality in the Weibel instability.
Journal of Plasma Physics.
2017
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Comparison of linear modes in kinetic plasma models.
Journal of Plasma Physics.
2017
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ADAPTIVE SELECTION OF SAMPLING POINTS FOR UNCERTAINTY QUANTIFICATION.
International Journal for Uncertainty Quantification.
285-301.
2017
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Information theoretical approach to discovering solar wind drivers of the outer radiation belt.
Journal of Geophysical Research: Space Physics.
9378-9399.
2016
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Turbulence Heating ObserveR - satellite mission proposal.
Journal of Plasma Physics.
2016
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Collisional effects on the numerical recurrence in Vlasov-Poisson simulations.
Physics of Plasmas.
2016
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On the velocity space discretization for the Vlasov-Poisson system: Comparison between implicit Hermite spectral and Particle-in-Cell methods.
Computer Physics Communications.
47-58.
2016
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Wave-particle interactions with parallel whistler waves: Nonlinear and time-dependent effects revealed by particle-in-cell simulations.
Physics of Plasmas.
2015
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Resonant and nonresonant whistlers-particle interaction in the radiation belts.
Geophysical Research Letters.
3114-3121.
2015
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Approximate semi-analytical solutions for the steady-state expansion of a contactor plasma.
Plasma Sources Science and Technology.
2015
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Neutral Vlasov kinetic theory of magnetized plasmas.
Physics of Plasmas.
2015
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Electron vortex magnetic holes: A nonlinear coherent plasma structure.
Physics of Plasmas.
2015
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Vlasov simulations of kinetic Alfven waves at proton kinetic scales.
Physics of Plasmas.
2014
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CPIC: A Curvilinear Particle-in-Cell Code for Plasma-Material Interaction Studies.
IEEE Transactions on Plasma Science.
3577-3587.
2013
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Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction.
Space Weather.
2023