Memory behavior of a randomly driven model glass
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.
Authors
- Damien Vandembroucq (ORCID: https://orcid.org/0000-0002-1639-5284)
- Muhittin Mungan (ORCID: https://orcid.org/0000-0002-0352-5422)
- Smarajit Karmakar (ORCID: https://orcid.org/0000-0002-5653-6328)
- Roni Chatterjee
Institutions
- Tata Institute of Fundamental Research (IN)
- Centre National de la Recherche Scientifique (FR)
- Heinrich Heine University Düsseldorf (DE)
- ESPCI Paris (FR)
Publication Details
- Journal
- New Journal of Physics
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1088/1367-2630/ae5c2d
- Citations
- 1
- Primary Topic
- Cultural Heritage Materials Analysis
- Type
- article
- Field-Weighted Citation Impact
- 34.66
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