2026 CAP Congress / Congrès de l'ACP 2026

Session

(DCMMP) T3-4 Novel Systems and Data-Driven Approaches | Nouvelles approches systémiques et fondées sur les données (DPMCM)

T3-4

23 Jun 2026, 16:15

U. Ottawa - Learning Crossroads (CRX) Building

Conveners

(DCMMP) T3-4 Novel Systems and Data-Driven Approaches | Nouvelles approches systémiques et fondées sur les données (DPMCM)

• Richard MacKenzie

525. Autoregressive Mixers as Efficient Neural Quantum State for Ground State Search

Mr Faith Oyedemi (University of Ottawa, ON Canada)

23/06/2026, 16:15

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)

In recent years, Neural (network) Quantum States (NQS) emerged as powerful and reliable variational ansätze for studying strongly correlated quantum many-body systems. Since then, architectures such as restricted Boltzmann machines, recurrent neural networks, and convolutional neural networks, have been employed as wave function ansätze in variational Monte Carlo approaches to finding ground...

784. Machine Learning Approaches to Identify New Features in Infrared Images of Scored Cross-linked Polyethylene Pipe Subjected to Accelerated Aging

Zachery Evans (University of Guelph)

23/06/2026, 16:30

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)

Cross-linked polyethylene (PEX) pipes are being used increasingly for water transport and heating applications. The pipes are exceptionally reliable but sometimes unexpected failures occur. We are using infrared microscopy, accelerated aging and machine learning analysis techniques to understand the mechanisms of pipe aging, degradation and failure [1-3]. In previous studies, we implemented...

551. Studying Quantum Chaotic Behaviour in Disordered Materials via Quantum Computing

Christopher Kouton (University of Ottawa)

23/06/2026, 16:45

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)

In chaotic dynamics, the eigenstate thermalization hypothesis (ETH) posits that quantum systems evolve toward an equilibrium state over time, regardless of their initial state. Equivalently, the expectation value of an observable with few degrees of freedom will relax towards a thermal value despite the wavefunction evolving through time [1]. However, there exist quantum mechanical phenomena...

616. Exploring Alternative Layered Materials as Gate Dielectrics for 2D Material Based Devices

Isaac Lagaud (NRC / University of Ottawa)

23/06/2026, 17:00

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 performance and scalability of two-dimensional (2D) materials based quantum electronics devices critically depends on the choice of gate dielectric. In gate-defined quantum devices, high-κ dielectrics enhance electrostatic control and reduce gate leakage. Hexagonal boron nitride (hBN), a 2D layered material, has become a widely used dielectric due to the clean interface it forms with 2D...

1037. Challenges and advances in the modelling of activated processes: methodological developments and application of the kinetic Activation-Relaxation Technique

Normand Mousseau (Université de Montréal)

23/06/2026, 17:15

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

Invited Speaker / Conférencier(ère) invité(e)

Understanding processes underlying the evolution of materials (aging, defect formation, chemical reactions, catalysis) requires simulation methods that can describe the atomistic kinetics of materials over time scales of seconds and more. While off-lattice Kinetic Monte Carlo simulations, such as the kinetic Activation-Relaxation Technique [1], have already demonstrated their ability to access...