My research interests are in the areas of fluids and plasma with applications ranging from astrophysics to laboratory experiments and more recently high energy density and quantum plasmas. I am particularly keen on the development of computational methods to be employed on high performance computers, based both on classical numerical analysis as well as newly emerging paradigms based on machine learning and artificial intelligence approaches.
Research interests
Plasmas - Scientific Computing - AI
Selected publications
Learning transport processes with machine intelligence
Axion-driven cosmic magnetogenesis prior to the QCD crossover
Physical Review Letters American Physical Society 121:2 (2018) 021301
Self-similar energetics in large clusters of galaxies.
Nature 523:7558 (2015) 59-62
THE MATRYOSHKA RUN. II. TIME-DEPENDENT TURBULENCE STATISTICS, STOCHASTIC PARTICLE ACCELERATION, AND MICROPHYSICS IMPACT IN A MASSIVE GALAXY CLUSTER
ASTROPHYSICAL JOURNAL 800:1 (2015) ARTN 60