Life at Low Reynolds Number

By E. Purcell. 2008

4,184 citations recorded by the source corpus.

Subfields: Statistical and Nonlinear Physics, AI for Physical Sciences

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistical and Nonlinear Physics

1. Eric Lauga
2. S. Michelin
3. S. Denisov
4. Vasily Zaburdaev
5. P. Hänggi
6. Arezoo Motavalizadeh Ardekani
7. Gaojin Li
8. Gerhard Gompper

In AI for Physical Sciences

1. L. E. Becker
2. R. Eichhorn
3. C. Richter
4. Katy E. Klymus
5. L. Naselli-Flores
6. Lutz Schimansky-Geier
7. M. Maldonado
8. Hartmut Löwen

Citations in the corpus

• Benchmarking Deep Reinforcement Learning for Continuous Control (2016, methodology): “For instance, grid search on the Swimmer task reveals that the best step size for TNPG is δ KL = 0 .”
• Multiparticle Collision Dynamics: Simulation of Complex Systems on Mesoscales (2008, background): “As a result, their dynamics differs considerably from that of the self-motion of large objects [43].”
• The hydrodynamics of swimming microorganisms (2008, methodology): “For bodies with discrete degrees of freedom, the actuation of Purcell’s swimmer (figure 16(a)) was optimized numerically [78, 286].”
• Active Particles in Complex and Crowded Environments (2016, background): “However, swimming strategies of this kind, i.e. involving a reciprocal shape deformation, are doomed to failure at microscopic scales (Purcell, 1977) (at least in purely viscous liquids, as we will see in Section III.”