Dr Enrico Camporeale

Enrico Camporeale

Senior Lecturer in Digital Environment

School of Physical and Chemical Sciences
Queen Mary University of London
ORCID Google Scholar

Research

Machine Learning, Space Physics, Space Weather, Plasma Physics, Computational methods

Publications

solid heart iconPublications of specific relevance to the Centre for Experimental and Applied Physics

2024

bullet iconCamporeale E (2024). Data-Driven Discovery of Fokker-Planck Equation for the Earth's Radiation Belts Electrons Using Physics-Informed Neural Networks. 
27-11-2024
bullet iconHu A and Camporeale E (2024). A New Machine Learning Approach for Predicting Extreme Space Weather. 
27-11-2024
bullet iconFoldes R, Cerri SS, Marino R and Camporeale E (2024). Evidence of dual energy transfer driven by magnetic reconnection at subion scales. Physical Review E, American Physical Society (APS) vol. 110 (5) 
01-11-2024
bullet iconHu A, Camporeale E, Lucas G and Berger T (2024). LiveWire: Horizontal Geoelectric Field Prediction With 1‐hr Lead‐Time Using Multi‐Fidelity Boosted Neural Networks. Journal of Geophysical Research Machine Learning and Computation, American Geophysical Union (AGU) vol. 1 (4) 
02-10-2024
bullet iconMasson A, Fung SF, Camporeale E, Kuznetsova MM, Poedts S, Barnum J, Ringuette R, De Zeeuw D, Polson S, Sadykov VM, Navarro V, Thomas B, Caplan RM, Linker J, Rastaetter L, Wiegand C, McGranaghan RM, Petrenko M, Didigu C, Reerink J, et al. (2024). Heliophysics and space weather information architecture and innovative solutions: current status and ways forward. Advances in Space Research, Elsevier 
01-05-2024
bullet iconCamporeale E, Marino R and Board TE (2024). Our Vision for JGR: Machine Learning and Computation. Journal of Geophysical Research Machine Learning and Computation, American Geophysical Union (AGU) vol. 1 (1) 
01-03-2024
bullet iconFoldes R, Camporeale E and Marino R (2024). Low-dimensional representation of intermittent geophysical turbulence with high-order statistics-informed neural networks (H-SiNN). Physics of Fluids, AIP Publishing vol. 36 (2) 
01-02-2024
bullet iconGeorgoulis MK, Yardley SL, Guerra JA, Murray SA, Ahmadzadeh A, Anastasiadis A, Angryk R, Aydin B, Banerjee D, Barnes G, Bemporad A, Benvenuto F, Bloomfield DS, Bobra M, Campi C, Camporeale E, DeForest CE, Emslie AG, Falconer D, Feng L, et al. (2024). Prediction of Solar Energetic Events Impacting Space Weather Conditions. Advances in Space Research, Elsevier 
01-02-2024
bullet iconCamporeale E, Hu A, Lucas G, Knuth J and Berger T (2024). Space Weather Modeling at the University of Colorado Deep Learning Laboratory. 2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)
12-01-2024
bullet iconChierichini S, Francisco G, Mugatwala R, Foldes R, Camporeale E, De Gasperis G, Giovannelli L, Napoletano G, Del Moro D and Erdelyi R (2024). A Bayesian approach to the drag-based modelling of ICMEs. Journal of Space Weather and Space Climate, EDP Sciences vol. 14 
01-01-2024
bullet iconMugatwala R, Chierichini S, Francisco G, Napoletano G, Foldes R, Giovannelli L, De Gasperis G, Camporeale E, Erdélyi R and Del Moro D (2024). A catalogue of observed geo-effective CME/ICME characteristics. Journal of Space Weather and Space Climate, EDP Sciences vol. 14 
01-01-2024

2023

bullet iconCamporeale E (2023). Artificial Intelligence for Space Weather Forecasting. Artificial Intelligence for Space: AI4SPACE  190-213.  
17-11-2023
bullet iconIssan O, Riley P, Camporeale E and Kramer B (2023). Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction. Space Weather, American Geophysical Union (AGU) vol. 21 (9) 
01-09-2023
bullet iconSitnov M, Argall M, Arnold H, Camporeale E, Genestreti K, Ji H, Liu Y-H, Michael A, Runov A, Sciola A, Sorathia K, Stephens G, Tsyganenko N, Turner D, Ukhorskiy A, Wang C-P and Wing S (2023). Artificial Intelligence to Enhance Mission Science Output for In-situ Observations: Sparse Data Challenge and Gray-Box Models. Bulletin of the AAS, American Astronomical Society 
31-07-2023
bullet iconMugatwala R, Francisco G, Chierichini S, Napoletano G, Foldes R, Del Moro D, Erdelyi R, Giovannelli L, de Gasperis G and Camporeale E (2023). A revised Database of CME characteristics from in-situ and remote observations. 
15-05-2023
bullet iconCamporeale E and Hu A (2023). Physics-informed Machine Learning prediction of ambient solar wind speed. 
15-05-2023
bullet iconHu A, Camporeale E and Swiger B (2023). Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity Boosted Neural Networks. Space Weather, American Geophysical Union (AGU) vol. 21 (4) 
30-03-2023
bullet iconChen Y, Maloney S, Camporeale E, Huang X and Zhou Z (2023). Editorial: Machine learning and statistical methods for solar flare prediction. Frontiers in Astronomy and Space Sciences, Frontiers vol. 10 
20-03-2023
bullet iconHua M, Bortnik J, Kellerman AC, Camporeale E and Ma Q (2023). Ensemble Modeling of Radiation Belt Electron Acceleration by Chorus Waves: Dependence on Key Input Parameters. Space Weather, American Geophysical Union (AGU) vol. 21 (3) 
01-03-2023
bullet iconAlielden K, Camporeale E, Korsós MB and Taroyan Y (2023). Prediction Interval of Interface Regions: Machine Learning Nowcasting Approach. Space Weather, American Geophysical Union (AGU) vol. 21 (3) 
01-03-2023
bullet iconCamporeale E (2023). Using Unsupervised Machine Learning to make new discoveries in space data. Artificial Intelligence for Space: AI4SPACE: Trends, Applications, and Perspectives  214-269.  
01-01-2023

2022

bullet iconNapoletano G, Foldes R, Camporeale E, de Gasperis G, Giovannelli L, Paouris E, Pietropaolo E, Teunissen J, Tiwari AK and Del Moro D (2022). Parameter Distributions for the Drag‐Based Modeling of CME Propagation. Space Weather, American Geophysical Union (AGU) vol. 20 (9) 
01-09-2022
bullet iconIong D, Chen Y, Toth G, Zou S, Pulkkinen T, Ren J, Camporeale E and Gombosi T (2022). New Findings From Explainable SYM‐H Forecasting Using Gradient Boosting Machines. Space Weather, American Geophysical Union (AGU) vol. 20 (8) 
01-08-2022
bullet iconHu A, Shneider C, Tiwari A and Camporeale E (2022). Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using Full‐Disk SoHO Images. Space Weather, American Geophysical Union (AGU) vol. 20 (8) 
01-08-2022
bullet iconHua M, Bortnik J, Kellerman AC, Camporeale E and Ma Q (2022). Ensemble Modeling of Radiation Belt Electron Flux Decay Following a Geomagnetic Storm: Dependence on Key Input Parameters. Space Weather, American Geophysical Union (AGU) vol. 20 (8) 
01-08-2022
bullet iconCamporeale E, Wilkie GJ, Drozdov AY and Bortnik J (2022). 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, American Geophysical Union (AGU) vol. 127 (7) 
01-07-2022
bullet iconRipoll J-F, Kluth G, Has S, Fischer A, Mougeot M and Camporeale E (2022). Exploring pitch-angle diffusion during high speed streams with neural networks. 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)
04-06-2022
bullet iconKluth G, Ripoll J-F, Has S, Fischer A, Mougeot M and Camporeale E (2022). Machine Learning Methods Applied to the Global Modeling of Event-Driven Pitch Angle Diffusion Coefficients During High Speed Streams. Frontiers in Physics, Frontiers vol. 10 
05-05-2022
bullet iconTiwari A, Camporeale E, Del Moro D, Foldes R, Napoletano G, de Gasperis G and Teunissen J (2022). CME-learn: An interactive playground to benchmark CME databases for the time of arrival (ToA) prediction for using machine learning methods. 
28-03-2022
bullet iconFoldes R, Cerri SS, Marino R, Feraco F and Camporeale E (2022). Local energy release by extreme vertical drafts in stratified geophysical flows. 
28-03-2022

2021

bullet iconFeraco F, Marino R, Primavera L, Pumir A, Mininni PD, Rosenberg D, Pouquet A, Foldes R, Lévêque E, Camporeale E, Cerri SS, Asokan HC, Chau JL, Bertoglio JP, Salizzoni P and Marro M (2021). Connecting large-scale velocity and temperature bursts with small-scale intermittency in stratified turbulence. EPL (Europhysics Letters), IOP Publishing vol. 135 (1) 
01-07-2021
bullet iconBortnik J and Camporeale E (2021). Ten Ways to Apply Machine Learning in Earth and Space Sciences. Eos, American Geophysical Union (AGU) vol. 102 
29-06-2021
bullet iconMcGranaghan RM, Ziegler J, Bloch T, Hatch S, Camporeale E, Lynch K, Owens M, Gjerloev J, Zhang B and Skone S (2021). Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress). Space Weather, American Geophysical Union (AGU) vol. 19 (6) 
01-06-2021
bullet iconTiwari A, Camporeale E, Teunissen J, Foldes R, Napoletano G and Del Moro D (2021). Predicting arrival time for CMEs: Machine learning and ensemble methods. 
04-03-2021
bullet iconNapoletano G, Foldes R, Berrilli F, Calchetti D, de Gasperis G, Del Moro D, Kumar Tiwari A, Teunissen J and Camporeale E (2021). Investigating the drag-based model parameters through statistical methods. 
04-03-2021
bullet iconMcGranaghan RM, Camporeale E, Georgoulis M and Anastasiadis A (2021). Space Weather research in the Digital Age and across the full data lifecycle: Introduction to the Topical Issue. Journal of Space Weather and Space Climate, EDP Sciences vol. 11 
01-01-2021
bullet iconCamporeale E and Carè A (2021). ACCRUE: ACCURATE AND RELIABLE UNCERTAINTY ESTIMATE IN DETERMINISTIC MODELS. International Journal for Uncertainty Quantification, Begell House vol. 11 (4), 81-94.  
01-01-2021

2020

bullet iconCamporeale E, Cash MD, Singer HJ, Balch CC, Huang Z and Toth G (2020). 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, American Geophysical Union (AGU) vol. 125 (11) 
31-10-2020
bullet iconHu A, Sisti M, Finelli F, Califano F, Dargent J, Faganello M, Camporeale E and Teunissen J (2020). Identifying Magnetic Reconnection in 2D Hybrid Vlasov Maxwell Simulations with Convolutional Neural Networks. The Astrophysical Journal, American Astronomical Society vol. 900 (1) 
01-09-2020
bullet iconCerri SS and Camporeale E (2020). Space-filter techniques for quasi-neutral hybrid-kinetic models. Physics of Plasmas, AIP Publishing vol. 27 (8) 
01-08-2020
bullet iconSarma R, Chandorkar M, Zhelavskaya I, Shprits Y, Drozdov A and Camporeale E (2020). Bayesian Inference of Quasi‐Linear Radial Diffusion Parameters using Van Allen Probes. Journal of Geophysical Research Space Physics, American Geophysical Union (AGU) vol. 125 (5) 
01-05-2020
bullet iconProverbio AM, Camporeale E and Brusa A (2020). Multimodal Recognition of Emotions in Music and Facial Expressions. Frontiers in Human Neuroscience, Frontiers vol. 14 
11-02-2020
bullet iconCamporeale E and Committee of ML‐Helio TSO (2020). ML‐Helio: An Emerging Community at the Intersection Between Heliophysics and Machine Learning. Journal of Geophysical Research Space Physics, American Geophysical Union (AGU) vol. 125 (2) 
01-02-2020
bullet iconChandorkar M, Furtlehner C, Poduval B, Camporeale E and Sebag M (2020). DYNAMIC TIME LAG REGRESSION: PREDICTING WHAT & WHEN. 
01-01-2020

2019

bullet iconPezzi O, Cozzani G, Califano F, Valentini F, Guarrasi M, Camporeale E, Brunetti G, Retinò A and Veltri P (2019). ViDA: a Vlasov–DArwin solver for plasma physics at electron scales. Journal of Plasma Physics, Cambridge University Press (CUP) vol. 85 (5) 
01-10-2019
bullet iconCamporeale E (2019). The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting. Space Weather, American Geophysical Union (AGU) vol. 17 (8), 1166-1207.  
01-08-2019
bullet iconPezzi O, Valentini F, Servidio S, Camporeale E and Veltri P (2019). Fourier–Hermite decomposition of the collisional Vlasov–Maxwell system: implications for the velocity-space cascade. Plasma Physics and Controlled Fusion, IOP Publishing vol. 61 (5) 
21-03-2019
bullet iconCamporeale E, Chu X, Agapitov OV and Bortnik J (2019). On the Generation of Probabilistic Forecasts From Deterministic Models. Space Weather, American Geophysical Union (AGU) vol. 17 (3), 455-475.  
01-03-2019

2018

bullet iconGruet MA, Chandorkar M, Sicard A and Camporeale E (2018). Multiple‐Hour‐Ahead Forecast of the Dst Index Using a Combination of Long Short‐Term Memory Neural Network and Gaussian Process. Space Weather, American Geophysical Union (AGU) vol. 16 (11), 1882-1896.  
01-11-2018
bullet iconCamporeale E, Wing S and Johnson J (2018). Space Weather in the Machine Learning Era. Eos, American Geophysical Union (AGU) vol. 99 
06-07-2018
bullet iconJohnson JR, Wing S and Camporeale E (2018). Transfer entropy and cumulant-based cost as measures of nonlinear causal relationships in space plasmas: applications to Dst. Annales Geophysicae, Copernicus Publications vol. 36 (4), 945-952.  
02-07-2018
bullet iconCamporeale E, Sorriso-Valvo L, Califano F and Retinò A (2018). Coherent Structures and Spectral Energy Transfer in Turbulent Plasma: A Space-Filter Approach. Physical Review Letters, American Physical Society (APS) vol. 120 (12) 
19-03-2018
bullet iconCamporeale E, Wing S, Johnson J, Jackman CM and McGranaghan R (2018). Space Weather in the Machine Learning Era: A Multidisciplinary Approach. Space Weather, American Geophysical Union (AGU) vol. 16 (1), 2-4.  
01-01-2018
bullet iconChandorkar M and Camporeale E (2018). Chapter 9 Probabilistic Forecasting of Geomagnetic Indices Using Gaussian Process Models. Machine Learning Techniques for Space Weather  237-258.  
01-01-2018
bullet iconWing S, Johnson JR, Camporeale E and Reeves GD (2018). Chapter 6 Untangling the Solar Wind Drivers of the Radiation Belt: An Information Theoretical Approach. Machine Learning Techniques for Space Weather  149-175.  
01-01-2018
bullet iconCarè A and Camporeale E (2018). Chapter 4 Regression. Machine Learning Techniques for Space Weather  71-112.  
01-01-2018
bullet iconCamporeale E, Wing S and Johnson JR (2018). Introduction. Machine Learning Techniques for Space Weather, xiii-xviii.  
01-01-2018
bullet iconCamporeale E, Wing S and Johnson JR (2018). Machine learning techniques for space weather. 
01-01-2018

2017

bullet iconCamporeale E, Carè A and Borovsky JE (2017). Classification of Solar Wind With Machine Learning. Journal of Geophysical Research Space Physics, American Geophysical Union (AGU) vol. 122 (11), 10-920.  
01-11-2017
bullet iconWing S, Johnson JR and Camporeale E (2017). Dawn‐Dusk Asymmetries in the Auroral Particle Precipitation and Their Modulations by Substorms. Dawn‐Dusk Asymmetries in Planetary Plasma Environments  255-272.  
06-10-2017
bullet iconChandorkar M, Camporeale E and Wing S (2017). Probabilistic forecasting of the disturbance storm time index: An autoregressive Gaussian process approach. Space Weather, American Geophysical Union (AGU) vol. 15 (8), 1004-1019.  
01-08-2017
bullet iconCamporeale E and Tronci C (2017). Electron inertia and quasi-neutrality in the Weibel instability. Journal of Plasma Physics, Cambridge University Press (CUP) vol. 83 (3) 
01-06-2017
bullet iconCamporeale E and Burgess D (2017). Comparison of linear modes in kinetic plasma models. Journal of Plasma Physics, Cambridge University Press (CUP) vol. 83 
01-04-2017
bullet iconCamporeale E, Agnihotri A and Rutjes C (2017). ADAPTIVE SELECTION OF SAMPLING POINTS FOR UNCERTAINTY QUANTIFICATION. International Journal for Uncertainty Quantification, Begell House vol. 7 (4), 285-301.  
01-01-2017

2016

bullet iconCamporeale E, Shprits Y, Chandorkar M, Drozdov A and Wing S (2016). On the propagation of uncertainties in radiation belt simulations. Space Weather, American Geophysical Union (AGU) vol. 14 (11), 982-992.  
01-11-2016
bullet iconWing S, Johnson JR, Camporeale E and Reeves GD (2016). Information theoretical approach to discovering solar wind drivers of the outer radiation belt. Journal of Geophysical Research Space Physics, American Geophysical Union (AGU) vol. 121 (10), 9378-9399.  
01-10-2016
bullet iconVaivads A, Retino A, Soucek J, Khotyaintsev YV, Valentini F, Escoubet CP, Alexandrova O, Andre M, Bale SD, Balikhin M, Burgess D, Camporeale E, Caprioli D, Chen CHK, Clacey E, Cully CM, De Keyser J, Eastwood JP, Fazakerley AN, Eriksson S, et al. (2016). Turbulence Heating Observer - Satellite Mission Proposal. Journal of Plasma Physics, Cambridge University Press (CUP) vol. 82, 905820501-905820501.  
22-09-2016
bullet iconPezzi O, Camporeale E and Valentini F (2016). Collisional effects on the numerical recurrence in Vlasov-Poisson simulations. Physics of Plasmas, AIP Publishing vol. 23 (2) 
01-02-2016
bullet iconCamporeale E, Delzanno GL, Bergen BK and Moulton JD (2016). On the velocity space discretization for the Vlasov–Poisson system: Comparison between implicit Hermite spectral and Particle-in-Cell methods. Computer Physics Communications, Elsevier vol. 198, 47-58.  
01-01-2016

2015

bullet iconCamporeale E and Zimbardo G (2015). Wave-particle interactions with parallel whistler waves: Nonlinear and time-dependent effects revealed by particle-in-cell simulations. Physics of Plasmas, AIP Publishing vol. 22 (9) 
01-09-2015
bullet iconCamporeale E (2015). Resonant and nonresonant whistlers‐particle interaction in the radiation belts. Geophysical Research Letters, American Geophysical Union (AGU) vol. 42 (9), 3114-3121.  
07-05-2015
bullet iconCamporeale E, Hogan EA and MacDonald EA (2015). Approximate semi-analytical solutions for the steady-state expansion of a contactor plasma. Plasma Sources Science and Technology, IOP Publishing vol. 24 (2) 
13-02-2015
bullet iconTronci C and Camporeale E (2015). Neutral Vlasov kinetic theory of magnetized plasmas. Physics of Plasmas, AIP Publishing vol. 22 (2) 
01-02-2015
bullet iconHaynes CT, Burgess D, Camporeale E and Sundberg T (2015). Electron vortex magnetic holes: A nonlinear coherent plasma structure. Physics of Plasmas, AIP Publishing vol. 22 (1) 
01-01-2015
bullet iconCamporeale E (2015). Internal american visions of the italian Renaissance: from the Gilded Age to the Twenties. ARCHIVIO STORICO ITALIANO vol. 173 (645), 483-+.  
01-01-2015

2014

bullet iconVásconez CL, Valentini F, Camporeale E and Veltri P (2014). Vlasov simulations of kinetic Alfvén waves at proton kinetic scales. Physics of Plasmas, AIP Publishing vol. 21 (11) 
01-11-2014
bullet iconTronci C, Tassi E, Camporeale E and Morrison PJ (2014). Hybrid Vlasov-MHD models: Hamiltonian vs. non-Hamiltonian. Plasma Physics and Controlled Fusion, IOP Publishing vol. 56 (9) 
08-07-2014
bullet iconHaynes CT, Burgess D and Camporeale E (2014). RECONNECTION AND ELECTRON TEMPERATURE ANISOTROPY IN SUB-PROTON SCALE PLASMA TURBULENCE. ASTROPHYSICAL JOURNAL vol. 783 (1) 
01-03-2014

2013

bullet iconCamporeale E, Delzanno GL, Zaharia S and Koller J (2013). Reply to comment by J. M. Albert on “On the numerical simulation of particle dynamics in the radiation belt. Part I: Implicit and semi‐implicit schemes” and “On the numerical simulation of particle dynamics in the radiation belt. Part II: Procedure based on the diagonalization of the diffusion tensor”. Journal of Geophysical Research Space Physics, American Geophysical Union (AGU) vol. 118 (12), 7765-7767.  
01-12-2013
bullet iconDelzanno GL, Camporeale E, Moulton JD, Borovsky JE, MacDonald EA and Thomsen MF (2013). CPIC: A Curvilinear Particle-in-Cell Code for Plasma–Material Interaction Studies. IEEE Transactions on Plasma Science, Institute of Electrical and Electronics Engineers (IEEE) vol. 41 (12), 3577-3587.  
01-12-2013
bullet iconDelzanno GL and Camporeale E (2013). On particle movers in cylindrical geometry for Particle-In-Cell simulations. Journal of Computational Physics, Elsevier vol. 253, 259-277.  
01-11-2013
bullet iconTu W, Cunningham GS, Chen Y, Henderson MG, Camporeale E and Reeves GD (2013). Modeling radiation belt electron dynamics during GEM challenge intervals with the DREAM3D diffusion model. Journal of Geophysical Research Space Physics, American Geophysical Union (AGU) vol. 118 (10), 6197-6211.  
01-10-2013
bullet iconCamporeale E, Delzanno GL, Zaharia S and Koller J (2013). On the numerical simulation of particle dynamics in the radiation belt: 1. Implicit and semi‐implicit schemes. Journal of Geophysical Research Space Physics, American Geophysical Union (AGU) vol. 118 (6), 3463-3475.  
01-06-2013
bullet iconCamporeale E, Delzanno GL, Zaharia S and Koller J (2013). On the numerical simulation of particle dynamics in the radiation belt: 2. Procedure based on the diagonalization of the diffusion tensor. Journal of Geophysical Research Space Physics, American Geophysical Union (AGU) vol. 118 (6), 3476-3484.  
01-06-2013

2012

bullet iconCamporeale E, Delzanno GL and Colestock P (2012). Lower hybrid to whistler mode conversion on a density striation. Journal of Geophysical Research, American Geophysical Union (AGU) vol. 117 (A10) 
01-10-2012
bullet iconWelling DT, Koller J and Camporeale E (2012). Verification of SpacePy's radial diffusion radiation belt model. Geoscientific Model Development, Copernicus Publications vol. 5 (2), 277-287.  
06-03-2012

2011

bullet iconCamporeale E and Burgess D (2011). THE DISSIPATION OF SOLAR WIND TURBULENT FLUCTUATIONS AT ELECTRON SCALES (vol 730, pg 114, 2011). ASTROPHYS J vol. 735 (1) 
01-07-2011
bullet iconCamporeale E (2011). Nonmodal Linear Theory for Space Plasmas. Space Science Reviews, Springer Nature vol. 172 (1-4), 397-409.  
18-03-2011
bullet iconCamporeale E and Burgess D (2011). THE DISSIPATION OF SOLAR WIND TURBULENT FLUCTUATIONS AT ELECTRON SCALES. The Astrophysical Journal, American Astronomical Society vol. 730 (2) 
10-03-2011
bullet iconCamporeale E (2011). Nonmodal Linear Theory for Space Plasmas. Multi-scale Physics in Coronal Heating and Solar Wind Acceleration  397-409.  
01-01-2011

2010

bullet iconCamporeale E, Passot T and Burgess D (2010). IMPLICATIONS OF A NON-MODAL LINEAR THEORY FOR THE MARGINAL STABILITY STATE AND THE DISSIPATION OF FLUCTUATIONS IN THE SOLAR WIND. ASTROPHYS J vol. 715 (1), 260-270.  
20-05-2010
bullet iconCamporeale E and Burgess D (2010). ELECTRON TEMPERATURE ANISOTROPY IN AN EXPANDING PLASMA: PARTICLE-IN-CELL SIMULATIONS. ASTROPHYS J vol. 710 (2), 1848-1856.  
20-02-2010

2009

bullet iconCamporeale E, Burgess D and Passot T (2009). Transient growth in stable collisionless plasma. PHYS PLASMAS vol. 16 (3) 
01-03-2009
bullet iconMarkidis S, Camporeale E, Burgess D, Rizwan-uddin and Lapenta G (2009). Parsek2D: An Implicit Parallel Particle-in-Cell Code., Editors: Pogorelov NV, Audit E, Colella P and Zank GP. 
01-01-2009

2008

bullet iconCamporeale E and Burgess D (2008). Electron firehose instability: Kinetic linear theory and two-dimensional particle-in-cell simulations. J GEOPHYS RES-SPACE vol. 113 (A7) 
29-07-2008

2006

bullet iconCamporeale E, Delzanno GL, Lapenta G and Daughton W (2006). New approach for the study of linear Vlasov stability of inhomogeneous systems. PHYS PLASMAS vol. 13 (9) 
01-09-2006

2005

bullet iconCamporeale E and Lapenta G (2005). Model of bifurcated current sheets in the Earth's magnetotail: Equilibrium and stability. J GEOPHYS RES-SPACE vol. 110 (A7) 
07-07-2005

2002

bullet iconCamporeale E (2002). Telling Time in Florence Cathedral: the Frescoed Clock by Paolo Uccello and Coeval Tuscan Public Clocks. Interfaces, PERSEE Program vol. 19 (2), 187-251.  
01-01-2002