The scientist’s investigation covers issues in Turbulence, Reynolds number, Statistical physics, Mechanics and Flow. His biological study spans a wide range of topics, including Classical mechanics and Dissipative system. Jean-François Pinton works mostly in the field of Reynolds number, limiting it down to concerns involving Scaling and, occasionally, Lambda, Mathematical physics and Measure.
His work deals with themes such as Probability distribution, Probability density function, Ferromagnetism and Autocorrelation, which intersect with Statistical physics. His study ties his expertise on Equations of motion together with the subject of Mechanics. His study in Flow is interdisciplinary in nature, drawing from both Magnetohydrodynamics and Dynamo.
Turbulence, Mechanics, Classical mechanics, Flow and Dynamo are his primary areas of study. His Turbulence research is multidisciplinary, relying on both Statistical physics and Scaling. His Mechanics study frequently links to other fields, such as Acceleration.
Jean-François Pinton interconnects Drag, Heat flux, Instability and K-epsilon turbulence model in the investigation of issues within Classical mechanics. His studies in Flow integrate themes in fields like Acoustics and Range. His work on Dynamo theory as part of general Dynamo study is frequently linked to Bifurcation, therefore connecting diverse disciplines of science.
His main research concerns Mechanics, Turbulence, Flow, Classical mechanics and Dynamo. Jean-François Pinton has researched Mechanics in several fields, including Magnetohydrodynamics and Torque. The Turbulence study combines topics in areas such as Mathematical analysis, Heat flux and Cluster.
His Flow research includes themes of Acoustics and Acceleration. Jean-François Pinton combines subjects such as Parasitic drag, Drag, Stokes' law and Geophysical fluid dynamics with his study of Classical mechanics. His study looks at the intersection of Dynamo and topics like Statistical physics with Probability and statistics.
His primary areas of investigation include Mechanics, Turbulence, Reynolds number, Flow and Classical mechanics. In general Mechanics, his work in Heat flux is often linked to Tracking linking many areas of study. His Turbulence research incorporates elements of Probability density function, Mathematical analysis, Magnetohydrodynamics, Temperature measurement and Convective heat transfer.
His research integrates issues of Closed system and Scaling in his study of Reynolds number. His studies examine the connections between Flow and genetics, as well as such issues in Particle density, with regards to Torus. His Classical mechanics study integrates concerns from other disciplines, such as Critical value, Magnetic Reynolds number, Instability and Dynamo.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
What's in a crowd? Analysis of face-to-face behavioral networks
Lorenzo Isella;Juliette Stehlé;Alain Barrat;Ciro Cattuto.
Journal of Theoretical Biology (2011)
Dynamics of person-to-person interactions from distributed RFID sensor networks.
Ciro Cattuto;Wouter Van den Broeck;Alain Barrat;Vittoria Colizza.
PLOS ONE (2010)
High-resolution measurements of face-to-face contact patterns in a primary school.
Juliette Stehlé;Nicolas Voirin;Alain Barrat;Alain Barrat;Ciro Cattuto.
PLOS ONE (2011)
Generation of a magnetic field by dynamo action in a turbulent flow of liquid sodium.
Romain Monchaux;Michaël Berhanu;Mickaël Bourgoin;Marc Moulin.
Physical Review Letters (2007)
Universality of rare fluctuations in turbulence and critical phenomena
S. T. Bramwell;P. C. W. Holdsworth;J.-F. Pinton.
Nature (1998)
Simulation of an SEIR infectious disease model on the dynamic contact network of conference attendees
Juliette Stehlé;Nicolas Voirin;Alain Barrat;Alain Barrat;Ciro Cattuto.
BMC Medicine (2011)
Measurement of Lagrangian Velocity in Fully Developed Turbulence
N. Mordant;P. Metz;Olivier Michel;J. F. Pinton.
Physical Review Letters (2001)
Universal fluctuations in correlated systems
S. T. Bramwell;K. Christensen;J.-Y. Fortin;P. C. W. Holdsworth.
Physical Review Letters (2000)
Estimating Potential Infection Transmission Routes in Hospital Wards Using Wearable Proximity Sensors
Philippe Vanhems;Alain Barrat;Ciro Cattuto;Jean-François Pinton.
PLOS ONE (2013)
Velocity measurement of a settling sphere
N. Mordant;J.-F. Pinton.
European Physical Journal B (2000)
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