
Explore Lorentzian space convergence, Gromov reconstruction theorem, and measured Lorentz-Gromov-Hausdorff convergence in nonsmooth general relativity. Gain insights into isomorphy of measured Lorentzian spaces.

Explore the null distance concept in spacetime, its definition, examples, and relationship to metric space structures.

Explore the IKKT model's potential for describing Type IIB superstring theory and its emergent universe solutions, focusing on the natural emergence of Lorentz invariant mass terms.

Explore constraints on Kahler moduli space in 6D N=1 supergravity, delving into advanced theoretical physics concepts and their implications.

Explore supergroup Chern-Simons theory with Volker Schomerus in this advanced physics lecture from the "Exactly Solvable Models" workshop.

Explore topological failure points in soft glassy materials during yielding, using network science tools to predict and understand plastic events in colloidal gels.

Explore extensions of 1-cocycles from mapping class groups to Ptolemy groupoids, delving into algebraic topology and Grothendieck-Teichmüller theory.

Explore geometric and analytic aspects of the Quantum Hall effect, focusing on universal and exact features of ideal flatbands.

Explore geometric and analytic aspects of the Quantum Hall effect, focusing on Landau levels and their analogs with higher Chern numbers.

Explore nonlinear Hall effect in antiferromagnetic heterostructures, focusing on quantum metric dipole's role and its implications for electron correlations in quantum materials.

Explore multipolar spin liquids in an exactly solvable model for J = 3/2 moments, focusing on strong electron correlations in quantum materials.

Explore deep neural networks' ability to reveal geometry, topology, and discrete symmetries in manifolds. Learn about universal approximators and their applications in inverse problems and group actions.

Explore Thom's gradient cell decomposition and its impact on understanding complex hypersurface singularities, polar curves, and Milnor fibers through algebraic, topological, and Lipschitz-geometric perspectives.

Explore topological data analysis applications in visual art perception, comparing eye movements for abstract paintings vs. AI-generated images using algebraic topology methods.

Explore persistent homology in plant-pollinator interactions, analyzing topological features and the impact of flowering plant surveys on understanding community structures.

Explore machine learning applications in algebraic geometry, focusing on Q-Fano varieties and terminal singularities detection. Gain insights into new combinatorial criteria and high-dimensional Q-Fano landscapes.

Exploring metric space magnitude in neural networks: new topological complexity measures for assessing generalization capabilities, with applications to transformers and deep graph networks.

Explore Harder-Narasimhan types in quiver representations, examining their applications and limitations in persistence modules across various contexts in algebraic topology.

Efficient algorithm for computing generalized ranks of persistence modules using unfolding to zigzag modules, with applications in algebraic topology and data analysis.

Explore temporal hypergraphs and zigzag persistence to analyze complex systems' topological evolution, applied to cybersecurity and social networks for understanding underlying dynamics.

Spectral relaxations of persistent rank invariant: A framework for continuous relaxations, offering stability and differentiability while preserving key properties and enabling efficient GPU-parallelized computation.