Nicolas Fougere
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  • Publications
    • Accelerating Design Space Exploration of Film Cooling with Parametric Machine Learning Based on High-Fidelity CFD.
    • Machine Learning-Based Prediction of Wind-Induced Interior Noise in Ground Vehicles.
    • Transformer-based Prediction of Vehicle Aerodynamics
    • Validation of Wind Noise for Class-8 Truck Using Lattice Boltzmann Method
    • Consistent Drag Prediction with CFD for a Vehicle with Bimodal Wake Cycling.
    • Flow-Induced Noise Prediction and Validation of a Heavy-Duty Electric Vehicle’s HVAC System Using the Lattice Boltzmann Method. 2025.
    • Simulation of Erosive Effects on Part Durability and Fitness for Service.
    • Surface activity of H2O and CO2 on comet 103P/Hartley2 derived from EPOXI/HRI images. Icarus. 2025;435:116557.
    • Transformer-based Prediction of Vehicle Aerodynamics.
    • Validation of Wind Noise for Class-8 Truck Using Lattice Boltzmann Method. SAE International Journal of Commercial Vehicles. 2025;18(02-18-03–0021).
    • Validation of CFD Aerodynamics Simulations of the Cadillac Celestiq with Comparison to Wind Tunnel Data
    • Machine Learning-Based Surrogate Model in Centrifugal Pump Design.
    • Transient Aerodynamics Simulations of a Passenger Vehicle during Deployment of Rear Spoiler.
    • Accurate automotive spinning wheel predictions via deformed treaded tire on a full vehicle compared to full width moving belt wind tunnel results.
    • Predicting Contamination Spread Inside a Hospital Breakroom with Multiple Occupants Using High Fidelity Computational Fluid Dynamics Simulation on a Virtual Twin. Sustainability. 2023;15(15):11804.
    • Application of the Monte Carlo method in modeling dusty gas, dust in plasma, and energetic ions in planetary, magnetospheric, and heliospheric environments. Journal of Geophysical Research: Space Physics. 2021;126(2):e2020JA028242.
    • Determining the volatile surface activity of comet 67P/CG from Rosetta remote sensing measurements.
    • Testing short-term variability and sampling of primary volatiles in comet 46p/wirtanen. The Planetary Science Journal. 2021;2(1):20.
    • Determining the potential surface activity distribution and surface production rates of H2O and CO2 on Hartley 2.
    • Determining the volatile surface activity of comet 67P/CG from Rosetta remote sensing measurements.
    • Ly α Observations of Comet C/2013 A1 (Siding Spring) Using MAVEN IUVS Echelle. The Astronomical Journal. 2020;160(1):10.
    • Probing the evolutionary history of comets: an investigation of the hypervolatiles CO, CH4, and C2H6 in the Jupiter-family Comet 21P/Giacobini–Zinner. The Astronomical Journal. 2020;159(2):42.
    • The surface distributions of the production of the major volatile species, H2O, CO2, CO and O2, from the nucleus of comet 67P/Churyumov-Gerasimenko throughout the Rosetta Mission as measured by the ROSINA double focusing mass spectrometer. Icarus. 2020;335:113421.
    • Volatile Compositions of Short Period Comets 2P/Encke and 21P/Giacobini-Zinner Across Apparitions.
    • Hall effect in the coma of 67P/Churyumov–Gerasimenko. Monthly Notices of the Royal Astronomical Society. 2018;475(2):2835–41.
    • Non-spherical dust dynamics in the 67P/Churyumov-Gerasimenko coma constrained by GIADA and ROSINA data. 42nd COSPAR Scientific Assembly. 2018;42:B1-1.
    • 2 years with comet 67P/Churyumov-Gerasimenko: H 2 O, CO 2, CO as seen by ROSINA RTOF.
    • A New 3D Multi-fluid Dust Model: A Study of the Effects of Activity and Nucleus Rotation on Dust Grain Behavior at Comet 67P/Churyumov–Gerasimenko. The Astrophysical Journal. 2017;850(1):72.
    • A new hybrid particle/fluid model for cometary dust.
    • Analysis of the ROSINA/COPS end-of-mission measurements of the coma of comet 67P/Churyumov-Gerasimenko.
    • Constraining the Water Production Rate and Impact on Mars’ Ionosphere of Comet Siding Spring. Icarus. 2017;237:202–10.
    • Dynamics of non-spherical dust in the coma of 67P/Churyumov–Gerasimenko constrained by GIADA and ROSINA data. Monthly Notices of the Royal Astronomical Society. 2017;469(Suppl_2):S774–86.
    • End-of-mission ROSINA/COPS measurements as a probe of the innermost coma of comet 67P/Churyumov-Gerasimenko.
    • Evidence for the formation of comet 67P/Churyumov-Gerasimenko through gravitational collapse of a bound clump of pebbles. Monthly Notices of the Royal Astronomical Society. 2017;469(Suppl_2):S755–73.
    • Five-moment multi-fluid plasma simulation for comet 67P/Churyumov-Gerasimenko.
    • Gas Production at Comet 67P/Churyumov-Gerasimenko as Measured by the ROSINA Instrument: Long Term Trends and Correlations with H 2 O and CO 2.
    • Imaging observations of the hydrogen coma of comet 67P/Churyumov–Gerasimenko in 2015 September by the Procyon/Laica. The Astronomical Journal. 2017;153(2):76.
    • Ion composition at comet 67P near perihelion: Rosetta observations and model-based interpretation. Monthly Notices of the Royal Astronomical Society. 2017;469(Suppl_2):S427–42.
    • Modeling of the outburst on July 29th, 2015 observed with OSIRIS cameras in the southern hemisphere of comet 67P/Churyumov-Gerasimenko. arXiv preprint arXiv:170602729. 2017.
    • Modelling of the outburst on 2015 July 29 observed with OSIRIS cameras in the Southern hemisphere of comet 67P/Churyumov–Gerasimenko. Monthly Notices of the Royal Astronomical Society. 2017;469(Suppl_2):S178–85.
    • Spatial and Temporal Variations of Atomic Species in the Coma of Comet 67P/Churyumov-Gerasimenko as Observed by Rosetta’s ALICE UV Spectrograph during Great Circle Scans.
    • Surface Activity Distributions of Comet 67P/Churyumov-Gerasimenko Derived from VIRTIS Images.
    • The 67P/Churyumov Gerasimenko Dusty Coma Analysed with Aspherical Dust Dynamical Simulations Constrained by GIADA Measurements in February and March 2015. LPI CONTRIBUTION. 2017.
    • The heterogeneous coma of comet 67P/Churyumov-Gerasimenko as seen by ROSINA: H2O, CO2, and CO from September 2014 to February 2016. Astronomy & Astrophysics. 2017;600:A77.
    • The Inner Coma Physical Environments of Ecliptic Comets 45P/Honda-Mrkos-Pajdusakova, 2P/Encke, and 41P/Tuttle-Giacobini-Kresak Revealed Through Long-Slit Spectroscopy at NASA IRTF.
    • MHD simulations of the plasma and neutral gas environment of comet 67P
    • Three-dimensional direct simulation Monte-Carlo modeling of the coma of comet 67P/Churyumov-Gerasimenko observed by the VIRTIS and ROSINA instruments on board Rosetta
    • A new 3D multi-fluid dust model: a study of the effects of activity and nucleus rotation on the dust grains’ behavior in the cometary environment.
    • A new 3D multi-fluid model: A study of kinetic effects and variations of physical conditions in the cometary coma. The Astrophysical Journal. 2016;833(2):160.
    • A possible mechanism for the formation of magnetic field dropouts in the coma of 67P/Churyumov–Gerasimenko. Monthly Notices of the Royal Astronomical Society. 2016;462(Suppl_1):S468–75.
    • A Possible Mechanism for the Formation of Magnetic Field Dropouts Observed by RPC-MAG in the Inner Coma of Comet 67P/Churyumov-Gerasimenko.
    • An empirical model of H 2 O, CO 2 and CO coma distributions and production rates for comet 67P/Churyumov-Gerasimenko based on ROSINA/DFMS measurements and AMPS-DSMC simulations.
    • Analysis of the dust jet imaged by Rosetta VIRTIS-M in the coma of comet 67P/Churyumov-Gerasimenko on April 12, 2015. Monthly Notices of the Royal Astronomical Society. 2016;stw2793.
    • CN and OH emissions in the 67P/Churyumov-Gerasimenko coma with Rosetta/VIRTIS-M spectrometer.
    • Direct simulation Monte Carlo modelling of the major species in the coma of comet 67P/Churyumov-Gerasimenko. Monthly Notices of the Royal Astronomical Society. 2016;462(Suppl_1):S156–69.
    • Direct Simulation Monte-Carlo Modeling of the Major Volatile Species of Comet 67P/Churyumov-Gerasimenko observed by ROSINA and VIRTIS.
    • Evolution of CO2, CH4, and OCS abundances relative to H2O in the coma of comet 67P around perihelion from Rosetta/VIRTIS-H observations. Monthly Notices of the Royal Astronomical Society. 2016;462(Suppl_1):S170–83.
    • Evolution of water production of 67P/Churyumov–Gerasimenko: an empirical model and a multi-instrument study. Monthly Notices of the Royal Astronomical Society. 2016;462(Suppl_1):S491–506.
    • Four-fluid MHD simulations of the plasma and neutral gas environment of comet 67P/Churyumov-Gerasimenko near perihelion. Journal of Geophysical Research: Space Physics. 2016;121(5):4247–68.
    • Increased electron pressure as possible origin of magnetic field dropouts observed by RPC-MAG of comet 67P/Churyumov-Gerasimenko.
    • Investigating the correlations between water coma emissions and active regions in comet 67P/Churyumov-Gerasimenko.
    • Investigation into the disparate origin of CO2 and H2O outgassing for Comet 67/P. Icarus. 2016;277:78–97.
    • Pre-and Post-equinox ROSINA production rates calculated using a realistic empirical coma model derived from AMPS-DSMC simulations of comet 67P/Churyumov-Gerasimenko.
    • Properties of the dust in the coma of 67P/Churyumov–Gerasimenko observed with VIRTIS-M. Monthly Notices of the Royal Astronomical Society. 2016;462(Suppl_1):S547–61.
    • Relationship between inner coma water emissions and ice deposits in comet 67P/Churyumov-Gerasimenko.
    • Rosetta/VIRTIS investigation of the chemistry and activity of comet 67P/Churyumov-Gerasimenko. 41st COSPAR Scientific Assembly. 2016;41:F3-1.
    • The Coma of Comet 67P/Churyumov-Gerasimenko Pre-and Post-Equinox.
    • The interaction between the solar wind and the heterogeneous neutral gas coma of comet 67P/Churyumov-Gerasimenko. 41st COSPAR Scientific Assembly. 2016;41:C3-2.
    • Three-dimensional direct simulation Monte-Carlo modeling of the coma of comet 67P/Churyumov-Gerasimenko observed by the VIRTIS and ROSINA instruments on board Rosetta. Astronomy & Astrophysics. 2016;588:A134.
    • Water and carbon dioxide distribution in the 67P/Churyumov-Gerasimenko coma from VIRTIS-M infrared observations. Astronomy & Astrophysics. 2016;589:A45.
    • 3D DSMC Modeling of the Coma of Comet 67P/Churyumov-Gerasimenko Observed by the VIRTIS and ROSINA instruments.
    • A study of the variation of physical conditions in the cometary coma based on a 3D multi-fluid model.
    • Combining DSMC Simulations and ROSINA/COPS Data of Comet 67P/Churyumov-Gerasimenko to Develop a Realistic Empirical Coma Model and to Determine Accurate Production Rates.
    • Comparison of 3D kinetic and hydrodynamic models to ROSINA-COPS measurements of the neutral coma of 67P/Churyumov-Gerasimenko. Astronomy & Astrophysics. 2015;583:A7.
    • First observations of H2O and CO2 vapor in comet 67P/Churyumov-Gerasimenko made by VIRTIS onboard Rosetta. Astronomy & Astrophysics. 2015;583:A6.
    • Macroscopic look at equity markets. University of Michigan Center on Finance, Law & Policy Conference. 2015.
    • Minor species from comet 67P as measured from the VIRTIS-H instrument aboard Rosetta.
    • Modeling of the Inner Coma of Comet 67P/Churyumov-Gerasimenko Constrained by VIRTIS and ROSINA Observations.
    • Modeling of the VIRTIS-M Observations of the Coma of Comet 67P/Churyumov-Gerasimenko.
    • Near Nucleus Dust Coma Analysis on the Base of In Situ GIADA Observations and Aspherical Dust Grain Model.
    • Observations With The Rosetta/MIRO Instrument At Comet 67P/Churyumov-Gerasimenko. IAU General Assembly. 2015;29:2230343.
    • Spatial-Spectral Studies of Cometary Volatiles and the Physical Environment of Inner Cometary Atmospheres.
    • The Distribution of Gases in the Coma of Comet 67P/Churyumov-Gerasimenko from Rosetta Measurements.
    • The Heterogeneous Coma of Comet 67P/Churyumov-Gerasimenko from Rosetta Observations.
    • Three-dimensional kinetic modeling of the neutral and charged dust in the coma of Rosetta’s target comet 67P/Churyumov-Gerasimenko.
    • Ultraviolet observations of the hydrogen coma of comet C/2013 A1 (Siding Spring) by MAVEN/IUVS. Geophysical Research Letters. 2015;42(21):8803–9.
    • Ultraviolet Observations of the Hydrogen Coma of Comet Siding Spring (C/2013 A1) by MAVEN/IUVS.
    • VIRTIS/Rosetta observations of the coma of comet 67P/Churyumov-Gerasimenko. IAU General Assembly. 2015;29:2255346.
    • VIRTIS/Rosetta Observes Comet 67P/Churyumov-Gerasimenko: Nucleus and Coma Derived Composition and Physical Properties.
    • Water and carbon dioxide investigation in the inner coma of 67P/Churyumov-Gerasimenko.
    • Water and carbon dioxide sources on comet 67P nucleus as measured from the VIRTIS-H instrument aboard Rosetta.
    • Design of a low cost mission to the Neptunian system
    • 3D Direct Simulation Monte Carlo Modeling of the Spacecraft Environment of Rosetta.
    • A 3D description of the coma of comet 67P/Churyumov-Gerasimenko constrained by rosetta observations.
    • A Multi-neutral-fluid model of comet 67P/Churyumov-Gerasimenko.
    • Design of a low cost mission to the Neptunian system.
    • Gas and Dust Redeposition on the Surface of Comet 67P/Churyumov-Gerasimenko.
    • Mass transport around comets and its impact on the seasonal differences in water production rates. The Astrophysical Journal. 2014;788(2):168.
    • Model Interpretation of Measured Water Rotational Temperatures and Column Abundances in the Coma of Comet C/2012 S1 (ISON).
    • Multifluid MHD Simulations of the Plasma Environment of Comet Churyumov-Gerasimenko at Different Heliocentric Distances.
    • OH & H2O Production and Radial Distribution from Ultraviolet Observations of C/2013 A1 (Siding Spring) by MAVEN.
    • The Complex Outgassing of Comets and the Resulting Coma, a Direct Simulation Monte-Carlo Approach [PhD Thesis]. University of Michigan; 2014.
    • Three-dimensional kinetic modeling of the near coma of comet 67P/Churyumov-Gerasimenko.
    • Unusual water production activity of comet C/2012 S1 (ISON): outbursts and continuous fragmentation. The Astrophysical Journal Letters. 2014;788(1):L7.
    • Global 3D kinetic model of cometary rarefied atmosphere toward a description of the coma of Comet 103P/Hartley 2.
    • Modeling the heterogeneous ice and gas coma of Comet 103P/Hartley 2. Icarus. 2013;225(1):688–702.
    • Neptune and Triton: A Study in Future Exploration.
    • TRIDENT: Taking Remote and In-situ Data to Explore Neptune and Triton.
    • Ultraviolet Observations Of C/2012 S1 (ISON) By MAVEN.
    • Water production rate of comet C/2009 P1 (Garradd) throughout the 2011–2012 apparition: evidence for an icy grain halo. Icarus. 2013;225(1):740–8.
    • Erratum:“Narrow dust jets in a diffuse gas coma: a natural product of small active regions on comets”(2012, ApJ, 749, 29). The Astrophysical Journal. 2012;758(2):144.
    • Narrow dust jets in a diffuse gas coma: A natural product of small active regions on comets. The Astrophysical Journal. 2012;749(1):29.
    • The Coma Of A Comet With Areas Of Diverse Compositions: Comet 103P/Hartley 2.
    • Understanding measured water rotational temperatures and column densities in the very innermost coma of Comet 73P/Schwassmann–Wachmann 3 B. Icarus. 2012;221(1):174–85.
    • Understanding Measured Rotational Temperatures in the Very Inner Coma of Comet 73P/Schwassmann-Wachmann 3.
    • Gas And Dust Production From A Comet With A Small Active Area: Application To The Rosetta Target Comet 67p/churyumov-gerasimenko.
    • Imaging Observations of Entire Hydrogen Coma of Comet 67P/Churyumov-Gerasimenko in 2015 September. Annual report of the National Astronomical Observatory of Japan.
    • Three-dimensional direct simulation Monte-Carlo modeling of the coma of comet 67P/Churyumov-Gerasimenko observed by the VIRTIS and ROSINA instruments on board Rosetta.
    • Volatile Compositions of Short Period Comets 2P/Encke and 21P/Giacobini-Zinner Across Apparitions.
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Testing short-term variability and sampling of primary volatiles in comet 46p/wirtanen. The Planetary Science Journal. 2021;2(1):20.

Jan 1, 2021·
Khan Y
,
Gibb EL
,
Bonev BP
,
Roth NX
,
Saki M
,
DiSanti MA
,
et al
· 0 min read
publications
Last updated on Jan 1, 2021
← Determining the volatile surface activity of comet 67P/CG from Rosetta remote sensing measurements. Jan 1, 2021
Determining the potential surface activity distribution and surface production rates of H2O and CO2 on Hartley 2. Jan 1, 2020 →

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