Enrico Camporeale

发表

CPIC: A Curvilinear Particle-in-Cell Code for Plasma–Material Interaction Studies

Gian Luca Delzanno, Enrico Camporeale, J. David Moulton, 2011, IEEE Transactions on Plasma Science.

Verification of SpacePy's radial diffusion radiation belt model

Enrico Camporeale, D. T. Welling, D. T. Welling, 2011 .

Multiple‐Hour‐Ahead Forecast of the Dst Index Using a Combination of Long Short‐Term Memory Neural Network and Gaussian Process

Enrico Camporeale, Marina Gruet, Mandar Chandorkar, 2018, Space Weather.

Next generation particle precipitation: Mesoscale prediction through machine learning (a case study and framework for progress)

Enrico Camporeale, Ryan M. McGranaghan, Jack Ziegler, 2020 .

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

Enrico Camporeale, E. Camporeale, 2019, Space Weather.

On the numerical simulation of particle dynamics in the radiation belt: 1. Implicit and semi‐implicit schemes

Josef Koller, Enrico Camporeale, Gian Luca Delzanno, 2013 .

On particle movers in cylindrical geometry for Particle-In-Cell simulations

Gian Luca Delzanno, Enrico Camporeale, G. Delzanno, 2013, J. Comput. Phys..

A Deep Learning Approach to Forecast Tomorrow's Solar Wind Parameters

Enrico Camporeale, Carl Shneider, Mandar Chandorkar, 2019 .

ML‐Helio: An Emerging Community at the Intersection Between Heliophysics and Machine Learning

Enrico Camporeale, E. Camporeale, 2020, Journal of Geophysical Research: Space Physics.

Estimation of Accurate and Calibrated Uncertainties in Deterministic models pdf

Enrico Camporeale, Algo Care, E. Camporeale, 2020, ArXiv.

Machine Learning in Space Weather III Posters

Enrico Camporeale, Ryan M. McGranaghan, Tomoko Matsuo, 2019 .

Dynamic Time Lag Regression: Predicting What & When

Enrico Camporeale, Michèle Sebag, Cyril Furtlehner, 2020, ICLR.

Probabilistic Forecasting of Geomagnetic Indices Using Gaussian Process Models

Enrico Camporeale, Mandar Chandorkar, 2018 .

Probabilistic forecasting of the disturbance storm time index: An autoregressive Gaussian process approach

Enrico Camporeale, Mandar Chandorkar, Simon Wing, 2017 .

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations pdf

Gregory Hellbourg, Meiqi Wang, Enrico Camporeale, 2020, ArXiv.

PARSEK: a Parallel Software Package for Implicit Particle-in-Cell Simulations

Enrico Camporeale, Stefano Markidis, Giovanni Lapenta, 2007 .

A Deep Learning Approach To Forecast

Enrico Camporeale, Carl Shneider, Mandar Chandorkar, 2018 .

On the Generation of Probabilistic Forecasts From Deterministic Models

Enrico Camporeale, Jacob Bortnik, Xiangning Chu, 2018, Space Weather.

Adaptive selection of sampling points for uncertainty quantification

Enrico Camporeale, Casper Rutjes, Ashutosh Agnihotri, 2016, 1612.07827.

On the velocity space discretization for the Vlasov-Poisson system: Comparison between implicit Hermite spectral and Particle-in-Cell methods

Gian Luca Delzanno, Enrico Camporeale, J. David Moulton, 2016, Comput. Phys. Commun..

Accuracy-Reliability Cost Function for Empirical Variance Estimation pdf

Enrico Camporeale, E. Camporeale, 2018, ArXiv.

A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission pdf

Enrico Camporeale, Jannis Teunissen, Carl Shneider, 2021, ArXiv.

Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress)

Enrico Camporeale, Ryan M. McGranaghan, Jack Ziegler, 2020, Space Weather.

Investigating the drag-based model parameters through statistical methods

Enrico Camporeale, Jannis Teunissen, Francesco Berrilli, 2021 .

Predicting arrival time for CMEs: Machine learning and ensemble methods

Enrico Camporeale, Jannis Teunissen, Dario Del Moro, 2021 .

An interpretable machine learning method for forecasting the SYM-H Index

Enrico Camporeale, Daniel Iong, Yang Chen, 2021 .

Ten Ways to Apply Machine Learning in Earth and Space Sciences

Enrico Camporeale, Jacob Bortnik, J. Bortnik, 2021, Eos.

Space Weather research in the Digital Age and across the full data lifecycle: Introduction to the Topical Issue

Enrico Camporeale, Ryan M. McGranaghan, Anastasios Anastasiadis, 2021, Journal of Space Weather and Space Climate.

ACCRUE: ACCURATE AND RELIABLE UNCERTAINTY ESTIMATE IN DETERMINISTIC MODELS

Enrico Camporeale, Algo Carè, E. Camporeale, 2021 .

Classification of Solar Wind With Machine Learning

Enrico Camporeale, Joseph E. Borovsky, J. Borovsky, 2017, 1710.02313.

Numerical modeling of space plasma flows

Enrico Camporeale, Stefano Markidis, Rizwan-uddin, 2009 .

Information theoretical approach to discovering solar wind drivers of the outer radiation belt

Enrico Camporeale, Geoffrey D. Reeves, Simon Wing, 2016 .

RECONNECTION AND ELECTRON TEMPERATURE ANISOTROPY IN SUB-PROTON SCALE PLASMA TURBULENCE

Enrico Camporeale, David Burgess, D. Burgess, 2013, 1304.1444.

THE DISSIPATION OF SOLAR WIND TURBULENT FLUCTUATIONS AT ELECTRON SCALES

Enrico Camporeale, David Burgess, 2011 .

New approach for the study of linear Vlasov stability of inhomogeneous systems

Gian Luca Delzanno, Enrico Camporeale, Giovanni Lapenta, 2006 .

Resonant and nonresonant whistlers‐particle interaction in the radiation belts

Enrico Camporeale, E. Camporeale, 2014, 1412.2008.

Neutral Vlasov kinetic theory of magnetized plasmas

Enrico Camporeale, Cesare Tronci, E. Camporeale, 2014, 1411.6969.

Collisional effects on the numerical recurrence in Vlasov-Poisson simulations

Enrico Camporeale, E. Camporeale, F. Valentini, 2016, 1601.05240.

Model of bifurcated current sheets in the Earth's magnetotail: Equilibrium and stability

Enrico Camporeale, Giovanni Lapenta, G. Lapenta, 2005 .

Modeling radiation belt electron dynamics during GEM challenge intervals with the DREAM3D diffusion model

Enrico Camporeale, Gregory S. Cunningham, Y. Chen, 2013 .