activity
20182021
most citedUnraveling current-induced dissociation mechanisms in single-molecule junctions

28 citations · 28 across the 1 of their papers we have counts for

collaborators

10 papers

cond-mat.mes-hall202128 cited

Unraveling current-induced dissociation mechanisms in single-molecule junctions

Yaling Ke, André Erpenbeck, Uri Peskin +1

Understanding current-induced bond rupture in single-molecule junctions is both of fundamental interest and a prerequisite for the design of molecular junctions, which are stable a…

cond-mat.mes-hall2020

Resolving the nonequilibrium Kondo singlet in energy- and position-space using quantum measurements

André Erpenbeck, Guy Cohen

The Kondo effect, a hallmark of strong correlation physics, is characterized by the formation of an extended cloud of singlet states around magnetic impurities at low temperatures.…

cond-mat.mes-hall2020

Revealing strong correlations in higher order transport statistics: a noncrossing approximation approach

André Erpenbeck, Emanuel Gull, Guy Cohen

We present a method for calculating the full counting statistics of a nonequilibrium quantum system based on the propagator noncrossing approximation (NCA). This numerically inexpe…

cond-mat.mes-hall2020

Current-induced dissociation in molecular junctions beyond the paradigm of vibrational heating: The role of anti-bonding electronic states

André Erpenbeck, Yaling Ke, Uri Peskin +1

The interaction between electronic and nuclear degrees of freedom in single-molecule junctions is an essential mechanism, which may result in the current-induced rupture of chemica…

cond-mat.mes-hall2020

Thermoelectricity of near-resonant tunnel junctions and their near-Carnot efficiency

Matthias A. Popp, André Erpenbeck, Heiko B. Weber

The resonant tunneling model is the simplest model for describing electronic transport through nanoscale objects like individual molecules. A complete understanding includes not on…

cs.NE2019

Sparsity through evolutionary pruning prevents neuronal networks from overfitting

Richard C. Gerum, André Erpenbeck, Patrick Krauss +1

Modern Machine learning techniques take advantage of the exponentially rising calculation power in new generation processor units. Thus, the number of parameters which are trained…