Satya N. Majumdar

Satya N. Majumdar is affiliated with the University of Paris-Saclay in France and has a substantial body of research primarily in the fields of Physics and Astronomy, Biochemistry, Genetics and Molecular Biology, and Mathematics. Their work spans a range of topics, with a particular focus on areas intersecting stochastic processes, diffusion, and statistical mechanics.

Majumdar's research has explored diverse aspects of stochastic dynamics and search methodologies within physics, contributing extensively to theoretical and computational physics. Their studies often address complex systems involving randomness and fluctuations, as seen in their substantial output concerning diffusion and search dynamics.

Key areas of their work include:

• Diffusion and Search Dynamics
• Stochastic processes and statistical mechanics
• Theoretical and Computational Physics
• Stochastic dynamics and bifurcation
• Micro and Nano Robotics
• Advanced Thermodynamics and Statistical Mechanics
• Random Matrices and Applications

Frequent collaboration with other researchers has been a notable aspect of Majumdar's academic career. Their most frequent co-authors include:

• Grégory Schehr (85 publications)
• Manas Kulkarni (17 publications)
• Francesco Mori (16 publications)
• Benjamin De Bruyne (14 publications)
• Marco Biroli (13 publications)

Majumdar regularly publishes in several venues, with a significant number of publications appearing in:

• arXiv (Cornell University) - 63 publications
• Physical Review E - 35 publications
• Journal of Statistical Mechanics Theory and Experiment - 25 publications
• Journal of Physics A Mathematical and Theoretical - 22 publications
• Physical Review Letters - 7 publications

Selected recent papers by Majumdar include:

• Optimal mean first-passage time for a Brownian searcher subjected to resetting: Experimental and theoretical results (2020, Physical Review Research)
• Universal Survival Probability for a d-Dimensional Run-and-Tumble Particle (2020, Physical Review Letters)
• Optimal mean first-passage time of a Brownian searcher with resetting in one and two dimensions: Experiments, theory and numerical tests (2021, arXiv)
• Exact stationary state of a run-and-tumble particle with three internal states in a harmonic trap (2020, Journal of Physics A Mathematical and Theoretical)
• The convex hull of the run-and-tumble particle in a plane (2020, Journal of Statistical Mechanics Theory and Experiment)

Majumdar's work frequently intersects with statistical and nonlinear physics, mathematical physics, condensed matter physics, and atomic and molecular physics, reflecting a multidisciplinary approach to research problems. Their contributions address both fundamental theoretical questions and applications in areas such as micro and nano robotics.