activity
20122026
most citedStochastic thermodynamics of bipartite systems: transfer entropy inequalities and a Maxwell's demon interpretation

191 citations · 1k across the 19 of their papers we have counts for

collaborators

19 papers

cond-mat.stat-mech2026

Milestoning Markov-jump dynamics: Stationary properties, thermodynamic consistency, kinetic hysteresis, and fluctuation symmetries

Tassilo Schwarz, David Hartich, Aljaž Godec

We derive an exact coarse graining of generic Markov-jump processes into observable semi-Markov dynamics. Exact results for waiting-time distributions for jumps between observable…

cond-mat.stat-mech2023★ 12 cited

On the emergence of memory in equilibrium versus non-equilibrium systems

Xizhu Zhao, David Hartich, Aljaž Godec

Experiments often probe observables that correspond to low-dimensional projections of highdimensional dynamics. In such situations distinct microscopic configurations become lumped…

cond-mat.stat-mech2021★ 4 cited

Comment on "Inferring broken detailed balance in the absence of observable currents"

David Hartich, Aljaž Godec

We present a simple biophysical example that invalidates the main conclusion of "Nat. Commun. 10, 3542 (2019)". Moreover, we explain that systems with one or more hidden states bet…

cond-mat.stat-mech2021★ 34 cited

Violation of Local Detailed Balance Despite a Clear Time-Scale Separation

David Hartich, Aljaž Godec

Integrating out fast degrees of freedom is known to yield, to a good approximation, memory-less, i.e. Markovian, dynamics. In the presence of such a time-scale separation local det…

cond-mat.stat-mech2021★ 46 cited

Thermodynamic Uncertainty Relation Bounds the Extent of Anomalous Diffusion

David Hartich, Aljaz Godec

In a finite system driven out of equilibrium by a constant external force the thermodynamic uncertainty relation (TUR) bounds the variance of the conjugate current variable by the…

cond-mat.stat-mech2020★ 65 cited

Emergent memory and kinetic hysteresis in strongly driven networks

David Hartich, Aljaž Godec

Stochastic network-dynamics are typically assumed to be memory-less. Involving prolonged dwells interrupted by instantaneous transitions between nodes such Markov networks stand as…