1.9k citations
- University of California, BerkeleyUS220 papers
- Lawrence Berkeley National LaboratoryUS214 papers
- National Institute for Materials ScienceJP38 papers
- Molecular Foundry35 papers
- Stanford UniversityUS28 papers
- SLAC National Accelerator LaboratoryUS24 papers
- California Institute of TechnologyUS21 papers
- Weizmann Institute of ScienceIL15 papers
- Advanced Light Source14 papers
- Chinese Academy of SciencesCN14 papers
- Delft University of TechnologyNL14 papers
- Fudan UniversityCN14 papers
23 papers · 1 filter
Optimal control of bit erasure in stochastic random access memory
Songela W. Chen, David T. Limmer
Energy costs of information processing are growing exponentially. Bit erasure is a key problem in this energy-information nexus, and a number of seminal relationships have been ded…
Variational time reversal for free energy estimation in nonequilibrium steady states
Jorge L. Rosa-Raíces, David T. Limmer
Studying the structure of systems in nonequilibrium steady states necessitates tools that quantify population shifts and associated deformations of equilibrium free energy landscap…
Stochastic thermodynamic bounds on logical circuit operation
Phillip Helms, Songela W. Chen, David T. Limmer
Using a thermodynamically consistent, mesoscopic model for modern complementary metal-oxide-semiconductor transistors, we study an array of logical circuits and explore how their f…
Direct evaluation of rare events in active matter from variational path sampling
Avishek Das, Benjamin Kuznets-Speck, David T. Limmer
Active matter represents a broad class of systems that evolve far from equilibrium due to the local injection of energy. Like their passive analogues, transformations between disti…
Reinforcement learning of rare diffusive dynamics
Avishek Das, Dominic C. Rose, Juan P. Garrahan +1
We present a method to probe rare molecular dynamics trajectories directly using reinforcement learning. We consider trajectories that are conditioned to transition between regions…
Principles of Low Dissipation Computing from a Stochastic Circuit Model
Chloe Ya Gao, David T. Limmer
We introduce a thermodynamically consistent, minimal stochastic model for complementary logic gates built with field-effect transistors. We characterize the performance of such gat…