Large Anomalous Hall Conductivity in CoS2
Explore the anomalous Hall conductivity in CoS2, examining its pyrite structure, ferromagnetic properties, and electronic characteristics through experimental data and DFT results.
Estudos de Primeiros Princípios de Ligas BiV_{1-x}O_{4}Mo_{x} para Clivagem Fotocatalítica da Água
Explore estudos de primeiros princípios de ligas BiV_{1-x}O_{4}Mo_{x} para clivagem fotocatalítica da água, apresentados por Cedric Rocha Leão na conferência de Teoria da Matéria Condensada do ICTP-SAIFR.
Constructing Realistic Low-Energy Effective Models of Materials
Explore techniques for constructing realistic low-energy effective models of materials, enhancing understanding of condensed matter theory.
Seeing Topological Charges by Naked Eyes
Explore topological charges in quantum materials, focusing on graphene and semimetals, with insights on quantum metrics and polarized light applications.
Simulating Critical Anion Chemistry with Indirect Excitons
Explore maximal ionization in quantum chemistry through indirect excitons. Investigate electron binding limits, nuclear charge thresholds, and potential experimental platforms for this challenging problem.
Euler and Schrödinger Equations - Turning Points in Complex Mathematics and Physics
Explore the historical impact of Euler and Schrödinger on complex mathematics and quantum mechanics, from algebraic beginnings to modern applications in quantum chemistry.
Breaking the Curse of Dimension in Quantum Mechanical Computations Through Analysis and Probability
Explore quantum mechanical computations, focusing on breaking dimensional constraints through analysis and probability. Learn about density functional theory and recent approaches to tackle existing issues.
Strictly-Correlated Electron Functional and Multimarginal Optimal Transport
Explore convex optimization methods for multi-marginal transport problems in density functional theory, including relaxation techniques and rounding schemes for energy bounds.
Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA
Explore uncertainty quantification in quantum chemistry, covering error estimation, benchmarking, and machine learning approaches for improved accuracy in computational methods.
Approximate Matrix Eigenvalues, Subspace Iteration With Repeated Random Sparsification
Explore efficient matrix eigenvalue approximation using subspace iteration and random sparsification, with applications in quantum chemistry and high-dimensional problems.
Unification of Topological Invariants and Topological Markers
Explore topological invariants and markers in quantum materials, unifying concepts through wrapping numbers and quantum metrics. Apply to 1D and 2D systems.
Observation of a Two-Dimensional Anisotropic Luttinger Liquid in a Moiré Material
Explore groundbreaking research on non-Fermi liquid physics in 2D materials, focusing on Luttinger liquid behavior in twisted WTe2 and its implications for understanding strongly correlated quantum phenomena.
Demystifying Density Functional Theory: From Fundamentals to Applications
Uncover the fundamental principles and applications of Density Functional Theory (DFT), exploring its role in physics, chemistry, and biology while understanding its operational framework and research potential.
Natural Orbitals - From Classical Concepts to Modern Developments
Explore the evolution and mathematical foundations of natural orbitals in quantum mechanics, from basic principles to recent breakthroughs in asymptotic formalism and computational applications.
Revealing Inaccuracies of the GFN1-xTB Semi-Empirical Method with Machine-Learning Toolset
Explore machine learning applications in identifying limitations of GFN1-xTB semi-empirical calculations for computational chemistry and molecular modeling.
Is There Evidence of Exponential Quantum Advantage in Quantum Chemistry - Quantum Colloquium
Explore theoretical and empirical evidence for exponential quantum advantage in ground-state energy determination for chemical problems, examining state preparation methods and numerical simulations.
Classical Shadows of Quantum States - Quantum Colloquium
Explore quantum state representation, shadow tomography, and machine learning applications in quantum many-body problems with John Preskill's insightful lecture on classical shadows.
Introduction to Quantum Chemistry
Explore quantum chemistry fundamentals, electronic structure problems, and quantum computing applications in this comprehensive introduction by Bryan O'Gorman.
Shock Physics on the Sandia Z Pulsed Power Machine
Explore extreme dynamic compression studies using the Sandia Z Machine, focusing on deuterium's molecular-to-atomic transition and insulator-to-metal transition under various pressure and temperature conditions.
Summer Cluster in Quantum Computation - Polylogues
Explore key themes in quantum computation with experts discussing complexity theory, protocols, entanglement, algorithms, and quantum chemistry in this insightful panel discussion.
Matrix Product States for Real Materials
Explore recent advances in combining MPS algorithms with DMFT and DFT to study strongly correlated materials, focusing on applications to transition metal and rare earth oxides.