activity
20222026
most citedOptimal Control in Stochastic Thermodynamics

66 citations · 86 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2026

Delta-Function Kicks are Optimal for Rapidly Driven Inertial Stochastic Systems

Steven Blaber

Optimal control helps guide our understanding of stochastic thermodynamics, leading to universal properties and geometric formulations. Among the initially surprising properties of…

cond-mat.mtrl-sci2026

Mechanical loss in amorphous solids: spatial correlations, interacting transitions, and annealed thermodynamic pathways

Steven Blaber, Jörg Rottler

The disordered and defect-rich structure of amorphous solids forms heterogeneous, high-dimensional energy landscapes. Such an energy landscape can be described by a discrete-state…

cond-mat.mtrl-sci2024

Connected Network Model for the Mechanical Loss of Amorphous Materials

Steven Blaber, Daniel Bruns, Jörg Rottler

Dissipation in amorphous solids at low frequencies is commonly attributed to activated transitions of isolated two-level systems (TLS) that come in resonance with elastic or electr…

cond-mat.stat-mech2022★ 66 cited

Optimal Control in Stochastic Thermodynamics

Steven Blaber, David A. Sivak

We review recent progress in optimal control in stochastic thermodynamics. Theoretical advances provide in-depth insight into minimum-dissipation control with either full or limite…

cond-mat.stat-mech2022★ 8 cited

Optimal control with a strong harmonic trap

Steven Blaber, David A. Sivak

Quadratic trapping potentials are widely used to experimentally probe biopolymers and molecular machines and drive transitions in steered molecular-dynamics simulations. Approximat…

cond-mat.stat-mech2022★ 12 cited

Efficient two-dimensional control of barrier crossing

Steven Blaber, David A. Sivak

Driven barrier crossings are pervasive in optical-trapping experiments and steered molecular-dynamics simulations. Despite the high fidelity of control, the freedom in the choice o…