Work

Memory behavior of a randomly driven model glass

Year: 2026

Type: article

Abstract: We investigate by atomistic simulations the memory behavior of a model glass subjected to random driving protocols. The training consists of a random walk of forward and backward shearing sequences bounded by a maximal shear strain of magnitude γ T . We show that such a stochastic training protocol is able to record the training amplitude γ T . Different read-out protocols are also tested and are shown to be able to retrieve γ T . We next identify the tensorial character of the memory encoded in the trained glasses through their anisotropic mechanical response.

Source: New Journal of Physics

DOI: 10.1088/1367-2630/ae5c2d

Authors: Roni Chatterjee, Smarajit Karamkar, Muhittin Mungan, Damien Vandembroucq

Institutions: Tata Institute of Fundamental Research, Heinrich Heine University Düsseldorf, Centre National de la Recherche Scientifique, Physique et Mécanique des Milieux Hétérogènes, ESPCI Paris

Language: English

Topic: Material Dynamics and Properties

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,610

Funders: Tata Institute of Fundamental Research, Department of Science and Technology, Ministry of Science and Technology, India, Department of Atomic Energy, Government of India, Science and Engineering Research Board