activity
20202026
most citedOrigin of reversible and irreversible atomic-scale rearrangements in a model two-dimensional network glass

16 citations · 23 across the 10 of their papers we have counts for

collaborators

10 papers

physics.optics2026

Numerically optimized FROG results for the study of red-shifted spectra in multi-frequency Raman generation

Sakthi Priya Amirtharaj, Zujun Xu, Donna Strickland +7

When multifrequency Raman scattering is driven in the transient regime by two chirped pump pulses, the resulting anti-Stokes orders exhibit asymmetric spectral broadening toward lo…

cond-mat.dis-nn2025

Predicting temperature-dependent failure and transformation zones in 2D silica glass through quasistatic Gaussian Phase Packets

Miguel Spínola, Shashank Saxena, Franz Bamer +1

The athermal quasistatic (AQS) method is a powerful technique to study the mechanical behavior of disordered systems. However, its applicability is limited to temperatures near zer…

physics.comp-ph2025

Parallel athermal quasistatic deformation stepping of molecular systems

Maximilian Reihn, Franz Bamer, Benjamin Stamm

The athermal quasistatic deformation method provides an elegant solution to overcome the limitation of short time spans in molecular simulations. It provides overdamped conditions,…

cond-mat.dis-nn2025

Geometrical fingerprints of shear transformation zones in network glasses

Franz Bamer, Zhao Wu, Somar Shekh Alshabab

Oxide glasses have the structure of disordered covalent networks that are accountable for their mechanical response. Identifying the topological phenomena of the elastic structural…

cond-mat.stat-mech2024

Stochastic evolution elasto-plastic modeling of a metallic glass

Bin Xu, Zhao Wu, Jiayin Lu +4

This paper develops a general data-driven approach to stochastic elastoplastic modelling that leverages atomistic simulation data directly rather than by fitting parameters. The ap…

stat.ML2024

Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks

Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer +2

We present a new Subset Simulation approach using Hamiltonian neural network-based Monte Carlo sampling for reliability analysis. The proposed strategy combines the superior sampli…

cond-mat.dis-nn2023

Universality in the fracture of silica glass

Somar Shekh Alshabab, Bernd Markert, Franz Bamer

The presence of universality of avalanches characterizing the inelastic response of disordered materials has the potential to bridge the gap from micro- to macroscale. In this stud…

physics.class-ph2021★ 1 cited

Constructing the Hamiltonian from the behaviour of a dynamical system by proper symplectic decomposition

Nima Shirafkan, Pierre Gosselet, Franz Bamer +3

The modal analysis is revisited through the symplectic formalism, what leads to two intertwined eigenproblems. Studying the properties of the solutions, we prove that they form a c…

cs.LG2021★ 6 cited

Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models

Arnd Koeppe, Franz Bamer, Michael Selzer +2

(Artificial) neural networks have become increasingly popular in mechanics to accelerate computations with model order reduction techniques and as universal models for a wide varie…

cond-mat.mtrl-sci2020★ 16 cited

Origin of reversible and irreversible atomic-scale rearrangements in a model two-dimensional network glass

Firaz Ebrahem, Franz Bamer, Bernd Markert

In this contribution, we investigate the fundamental mechanism of plasticity in a model two-dimensional network glass. The glass is generated by using a Monte Carlo bond-switching…