QAOA Mixing Hamiltonians for MinVertexCover

A New Contact Method for Simcenter Madymo: Contact Method based on IsoGeometric Analysis

Improving the stability of the B-spline Material Point Method: Using Extended and Truncated Hierarchical B-splines

PINNs for parametrized problems

Solving Partial Differential Equations using Physics-Informed Neural Networks

Topology Optimization and Physics-Informed Neural Networks for Metamaterial Optics Design

Optimization of single-qubit gate fidelities in silicon quantum computers in the presence of crosstalk

Physics-Informed Deep Learning for Computational Fluid Flow Analysis: Coupling of physics-informed neural networks and autoencoders for aerodynamic flow predictions on variable geometries

Stabilizing convection-dominated flow problems using neural networks based on flux-limiting techniques

Designing free-form optics for multiple-source illumination using differentiable ray-tracing and neural networks

Diffractive optical elements are all you need: Designing an optical system using physics-informed and data-driven methods

Quantum Annealing for Seismic Imaging: Exploring Quantum Annealing Possibilities For Residual Statics Estimation using the D-Wave Advantage System and Hybrid Solver

A practical quantum algorithm for solving structural optimization problems: a proof-of-concept!

Mimetic isogeometric modeling and discretization of compressible Euler flows

Security and Practical Models for Quantum Key Distribution

PINN inspired Freeform Design: Using Fraunhofer Diffraction to find Freeforms described by B-spline Surfaces

Resource Optimal Executable Quantum Circuit Generation Using Approximate Computing

Physics Informed Neural Networks, A new approach for the solution of PDEs

High-Order Discretization of Hyperbolic Equations: Characterization of an Isogeometric Discontinuous Galerkin Method

Learning based hardware-centric quantum circuit generation