activity
19962022
most citedMachine learning accelerated computational fluid dynamics

1.1k citations · 4.8k across the 51 of their papers we have counts for

collaborators

51 papers

cs.LG2022★ 15 cited

Learning to correct spectral methods for simulating turbulent flows

Gideon Dresdner, Dmitrii Kochkov, Peter Norgaard +4

Despite their ubiquity throughout science and engineering, only a handful of partial differential equations (PDEs) have analytical, or closed-form solutions. This motivates a vast…

physics.flu-dyn2022

Energy transfer and vortex structures: Visualizing the incompressible turbulent energy cascade

Ryan McKeown, Alain Pumir, Shmuel M. Rubinstein +2

The transfer of kinetic energy from large to small scales is a hallmark of turbulent flows. Yet, a precise mechanistic description of this transfer, which is expected to occur via…

cond-mat.soft2022

Improved tracking of particles with highly correlated motion

Ella M. King, Zizhao Wang, David A. Weitz +2

Despite significant advances in particle imaging technologies over the past two decades, few advances have been made in particle tracking, i.e. linking individual particle position…

physics.comp-ph2022★ 4 cited

Optimal control of nonequilibrium systems through automatic differentiation

Megan C. Engel, Jamie A. Smith, Michael P. Brenner

Controlling the evolution of nonequilibrium systems to minimize dissipated heat or work is a key goal for designing nanodevices, both in nanotechnology and biology. Progress in com…

cond-mat.soft2021★ 11 cited

Programming Interactions in Magnetic Handshake Materials

Chrisy Xiyu Du, Hanyu Alice Zhang, Tanner Pearson +4

The ability to rapidly manufacture building blocks with specific binding interactions is a key aspect of programmable assembly. Recent developments in DNA nanotechnology and colloi…

cond-mat.soft2021

Topological Design of Heterogeneous Self-Assembly

Andrei A. Klishin, Michael P. Brenner

Controlling the topology of structures self-assembled from a set of heterogeneous building blocks is highly desirable for many applications, but is poorly understood theoretically.…