Speaker
Abstract
When designing materials for a given property, it is often easier to pick periodic structures, as periodicity greatly facilitates the analytical predictions and numerical simulations of the system's expected behavior. However, some properties are only achievable in aperiodic, or even disordered materials. In such materials, many difficulties arise; in particular, it is not always clear which structural signature is responsible for a given property. It is thus highly desirable to have a platform to easily and quickly generate candidate structures with well-controlled correlations, to then test their properties systematically. In this talk, I will start by presenting the Fast Reciprocal-Space Correlator (FReSCo), an algorithm designed to enforce pair correlations in point patterns with the best possible computational performance. I will highlight that it can be used for fast generation of large systems of interest, like hyperuniform systems, or for materials discovery. I will in particular introduce gyromorphs, promising new structures discovered using FReSCo that combine seemingly incompatible properties of ordered and disordered structures.
Bio
Prof. Mathias Casiulis received an M.Eng. from ESPCI Paris in 2015 and an M.Sc. from École Normale Supérieure (ENS Paris) in 2016, followed by a PhD from Sorbonne Université ("Jussieu") in 2019. He then worked as a postdoc within the theory team at the Department of Physics at the Technion between 2020 and 2022, and as a research scientist at the Center for Soft Matter Research (CSMR) at New York University (NYU) from 2022 to 2026. In 2026, he joined APCTP as a Junior Research Group Leader. Beyond research, Mathias received various prizes recognizing outstanding outreach (e.g., APS-DFD Milton van Dyke prizes, APS-DSOFT Gallery of Soft Matter Prize) and service (e.g., APS Reviewer Excellence Award).