
Explore path constrained unbalanced optimal transport with Nicolas Charon, delving into geometric statistics and shape analysis applications.

Explore numerical methods for time-dependent quantum dynamics using tree tensor networks, focusing on efficient algorithms and error analysis for high-dimensional problems.

Explore optimization's role in AI, computational models, and its impact on modern science. Gain insights into efficient optimization schemes related to human activity.

Explore computational quantum mechanics in phase space, focusing on breaking the curse of dimensionality through grid-based and particle-based methods for high-dimensional Wigner quantum dynamics simulations.

Explore learning operators in scientific machine learning, covering traditional methods, neural networks, and practical applications for mathematical problem-solving.

Explore advanced concepts in operator learning, focusing on mathematical techniques and applications in scientific machine learning.

Explore fusion rings in physics and mathematics, covering their structure, applications, and connections to particle models with topological interactions.

Explore lab notebooks' adaptation to computational research, with examples addressing challenges in transitioning from experimental to computational sciences.

Master numerical solutions and fixed point iteration methods for finding roots of equations, with practical examples and step-by-step problem-solving techniques.

Explore advanced techniques for optimizing finite element mesh compression through dictionary-based schemes and r-adaptive mesh optimization to reduce memory usage while maintaining performance.

Delve into advanced mathematical concepts of hierarchical matrices for 3D Helmholtz problems, exploring their application in multi-patch IgA-BEM frameworks through expert analysis and demonstrations.