activity
20222026
most citedAccurate Memory Kernel Extraction from Discretized Time Series Data

17 citations · 17 across the 8 of their papers we have counts for

collaborators

11 papers

physics.bio-ph2026

Memory-resolved prediction of ligand residence times on the minutes timescale

Hossein Batebi, Lucas Tepper, Roland R. Netz

AI-enabled computational drug discovery is advancing rapidly in predicting molecular structures, binding poses and affinities, but ligand dissociation kinetics remain harder to acc…

cond-mat.soft2026

Position-dependent friction in protein folding from a GLE derived with a non-stationary localized projection distribution

Salma Salem, Lucas Tepper, Benjamin J. A. Héry +3

The Generalized Langevin Equation (GLE) is an integro-differential equation of motion for a general observable of a many-body system and is rigorously derived using the projection…

physics.bio-ph2026

Reaction-Coordinate-Dependent Non-Markovian Friction Governs Protein-Folding Dynamics

Lucas Tepper, Benjamin J. A. Héry, Cihan Ayaz +4

It is common to project the full atomic-resolution representation of a protein onto a one-dimensionalreaction coordinate (RC) to capture the protein-folding kinetics. As a direct c…

cond-mat.stat-mech2026

Comparison of different exact generalized Langevin equations with a non-linear potential of mean force and an observable-dependent mass and friction

Benjamin J. A. Héry, Lucas Tepper, Roland R. Netz

The Mori-Zwanzig projection formalism constitutes a powerful and robust framework for deriving equations of motion in terms of generalized Langevin equations (GLEs) for an arbitrar…

cond-mat.stat-mech2026

Non-equilibrium generalized Langevin equation for multi-dimensional observables

Benjamin J. A. Héry, Lucas Tepper, Andrea Guljas +4

The Mori-Zwanzig formalism is a powerful theoretical framework for deriving equations of motion for coarse-grained observables in the form of generalized Langevin equations (GLEs)…

cond-mat.soft2025

Hierarchical friction memory leads to subdiffusive configurational dynamics of fast-folding proteins

Anton Klimek, Benjamin A. Dalton, Lucas Tepper +1

Proteins often exhibit subdiffusive configurational dynamics. The origins of this subdiffusion are still unresolved. We investigate the impact of non-Markovian friction and the fre…

physics.comp-ph2025

Analysis and Simulation of Generalized Langevin Equations with Non-Gaussian Orthogonal Forces

Henrik Kiefer, Benjamin J. A. Héry, Lucas Tepper +3

The generalized Langevin equation (GLE) is a useful framework for analyzing and modeling the dynamics of many-body systems in terms of low-dimensional reaction coordinates, with it…

cond-mat.stat-mech2025

Beyond the Electric Dipole Approximation: Electric and Magnetic Multipole Contributions Reveal Biaxial Water Structure from SFG Spectra at the Air-Water Interface

Louis Lehmann, Maximilian R. Becker, Lucas Tepper +4

The interpretation of sum-frequency-generation (SFG) spectra has been severely limited by the absence of quantitative theoretical predictions of higher-order multipole contribution…

physics.chem-ph2024

Memory and Friction: From the Nanoscale to the Macroscale

Benjamin A. Dalton, Anton Klimek, Henrik Kiefer +5

Friction is a phenomenon that manifests across all spatial and temporal scales, from the molecular to the macroscopic scale. It describes the dissipation of energy from the motion…

physics.data-an2024★ 17 cited

Accurate Memory Kernel Extraction from Discretized Time Series Data

Lucas Tepper, Benjamin Dalton, Roland R. Netz

Memory effects emerge as a fundamental consequence of dimensionality reduction when low-dimensional observables are used to describe the dynamics of complex many-body systems. In t…

cond-mat.soft2022

Fast protein folding is governed by memory-dependent friction

Benjamin A. Dalton, Cihan Ayaz, Lucas Tepper +1

When described by a low-dimensional reaction coordinate, the rates of protein folding are determined by a subtle interplay between free-energy barriers and friction. While it is co…