2026 CAP Congress / Congrès de l'ACP 2026

Session

(DCMMP) T1-4 Data-Driven Approaches | Approches fondées sur les données (DPMCM)

T1-4

23 Jun 2026, 10:15

U. Ottawa - Learning Crossroads (CRX) Building

589. G4CMP -- Simulating condensed matter physics with Geant4 in dark matter research and quantum information science

Stefan Zatschler (Laurentian University, SNOLAB, University of Toronto)

23/06/2026, 10:15

Condensed Matter and Materials Physics / Physique de la matière condensée et matériaux (DCMMP-DPMCM)

Oral (Non-Student) / Orale (non-étudiant(e))

Detector technologies based on solid-state devices are of growing interest in both academic and industrial research. Understanding their performance limitations and finding effective mitigation strategies are therefore high priorities. Among the common tools to study device performance are Monte-Carlo simulations. In high-energy particle physics, the Geant4 toolkit is broadly used to simulate...

793. Transport in close-packed solids with stacking faults

Connor Wilson

23/06/2026, 10:30

Condensed Matter and Materials Physics / Physique de la matière condensée et matériaux (DCMMP-DPMCM)

Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)

Intuition suggests that, given its simple electronic configuration, the physical characteristics of metallic lithium should not be riddled with many surprises. This intuition, however, does not belie the lesser-known fact that it's low-temperature crystal structure has, to this day, eluded determination, despite decades of active study.

The various crystal structures (fcc, hcp, 9R, etc.)...

666. A simple holographic principle for bonding in real materials

Ashland Knowles

23/06/2026, 10:45

Condensed Matter and Materials Physics / Physique de la matière condensée et matériaux (DCMMP-DPMCM)

Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)

The crystal structures of transition metal dichalcogenide materials (TMDs) with metal atoms from group 7 of the periodic table (“$d^3$” TMDs), such as ReS$_2$, are known to be distortions of a triangular lattice. Similarly, the crystal structures of some pnictogen solids, such as elemental antimony, are distortions of a simple cubic lattice. The atoms in these materials are known to form...

573. Numerical study of Li ion diffusion in Li-M alloys using machine-learning assisted canonical sampling

Hoan Tran Van (Institut de recherche sur l’hydrogène, Université du Québec à Trois-Rivières, 3351, boulevard des Forges, Trois-Rivières (Québec) G9A 5H7, Canada)

23/06/2026, 11:00

Condensed Matter and Materials Physics / Physique de la matière condensée et matériaux (DCMMP-DPMCM)

Oral not-in-competition (Graduate Student) / Orale non-compétitive (Étudiant(e) du 2e ou 3e cycle)

The incorporation of binary Li-M alloys into anode architectures for solid-state batteries has attracted considerable attention due to their high capacities and effectiveness in suppressing dendrite formation. Numerical simulations of Li-ion diffusion in bulk structures, on surfaces, and at interfaces supports the design of suitable anode architectures with fast Li-ion transport. In this...

870. Simmering: Physical is Better than Optimal for Training Neural Networks

Irina Babayan

23/06/2026, 11:15

Condensed Matter and Materials Physics / Physique de la matière condensée et matériaux (DCMMP-DPMCM)

Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)

Neural networks model complex phenomena within and beyond physics by leveraging their universal estimation capacity. However, this universality interferes with generalizability when combined with optimization-based training. This tension is exemplified by the prevalence of overfitting, where naive optimization drives networks into overspecified representations that deviate from underlying...

693. Machine Learning Approach to Identify and Quantify Nanoscale Variations in the Mechanical Properties of Soft Nanoparticles

Dr Benjamin Baylis

23/06/2026, 11:30

Condensed Matter and Materials Physics / Physique de la matière condensée et matériaux (DCMMP-DPMCM)

Oral (Non-Student) / Orale (non-étudiant(e))

Atomic force microscopy force spectroscopy (AFM-FS), in which the AFM tip is pressed into and retracted from a surface to generate force-distance curves, can be used to obtain high resolution maps of the topography and mechanical properties of materials. This technique generates a large amount of data where each pixel in an image corresponds to a single force-distance curve. AFM-FS has been...