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M Panesi

Showing results (1-10 of 8) with videos related to

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The Journal of Physical Chemistry. A|May 29, 2020
Bayesian Machine Learning Approach to the Quantification of Uncertainties on Ab Initio Potential Energy SurfacesS Venturi, R L Jaffe, M Panesi
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 30, 2014
Boltzmann rovibrational collisional coarse-grained model for internal energy excitation and dissociation in hypersonic flowsA Munafò, M Panesi, T E Magin
The Journal of Chemical Physics|August 10, 2017
Adaptive coarse graining method for energy transfer and dissociation kinetics of polyatomic speciesA Sahai, B Lopez, C O Johnston, et al.
The Journal of Physical Chemistry. A|September 4, 2020
Data-Inspired and Physics-Driven Model Reduction for Dissociation: Application to the O<sub>2</sub> + O SystemS Venturi, M P Sharma, B Lopez, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2014
Nonequilibrium shock-heated nitrogen flows using a rovibrational state-to-state methodM Panesi, A Munafò, T E Magin, et al.
The Journal of Chemical Physics|November 17, 2014
Energy transfer models in nitrogen plasmas: analysis of N₂(X¹Σg⁺)-N(⁴S(u))-e⁻ interactionK L Heritier, R L Jaffe, V Laporta, et al.
The Journal of Chemical Physics|February 10, 2018
Construction of a coarse-grain quasi-classical trajectory method. II. Comparison against the direct molecular simulation methodR L Macdonald, M S Grover, T E Schwartzentruber, et al.
The Journal of Chemical Physics|February 10, 2018
Construction of a coarse-grain quasi-classical trajectory method. I. Theory and application to N<sub>2</sub>-N<sub>2</sub> systemR L Macdonald, R L Jaffe, D W Schwenke, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry. A|May 29, 2020
Bayesian Machine Learning Approach to the Quantification of Uncertainties on Ab Initio Potential Energy SurfacesS Venturi, R L Jaffe, M Panesi
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 30, 2014
Boltzmann rovibrational collisional coarse-grained model for internal energy excitation and dissociation in hypersonic flowsA Munafò, M Panesi, T E Magin
The Journal of Chemical Physics|August 10, 2017
Adaptive coarse graining method for energy transfer and dissociation kinetics of polyatomic speciesA Sahai, B Lopez, C O Johnston, et al.
The Journal of Physical Chemistry. A|September 4, 2020
Data-Inspired and Physics-Driven Model Reduction for Dissociation: Application to the O<sub>2</sub> + O SystemS Venturi, M P Sharma, B Lopez, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2014
Nonequilibrium shock-heated nitrogen flows using a rovibrational state-to-state methodM Panesi, A Munafò, T E Magin, et al.
The Journal of Chemical Physics|November 17, 2014
Energy transfer models in nitrogen plasmas: analysis of N₂(X¹Σg⁺)-N(⁴S(u))-e⁻ interactionK L Heritier, R L Jaffe, V Laporta, et al.
The Journal of Chemical Physics|February 10, 2018
Construction of a coarse-grain quasi-classical trajectory method. II. Comparison against the direct molecular simulation methodR L Macdonald, M S Grover, T E Schwartzentruber, et al.
The Journal of Chemical Physics|February 10, 2018
Construction of a coarse-grain quasi-classical trajectory method. I. Theory and application to N<sub>2</sub>-N<sub>2</sub> systemR L Macdonald, R L Jaffe, D W Schwenke, et al.
Pageof 1