
Explore Koopmans functionals in Quantum ESPRESSO, focusing on practical applications and advanced techniques for electronic structure calculations.

Explore Koopmans functionals in quantum mechanics, focusing on spectral potential connections and applications in materials science.

Explore first-principles Hubbard parameter calculations in quantum materials, focusing on chromium oxide and practical applications in advanced quantum simulations.

Explore DFT+U and DFT+U+V methodologies in Quantum ESPRESSO through hands-on exercises, enhancing understanding of Hubbard-corrected density functional theory.

Learn advanced techniques for accelerating Hubbard parameter calculations in Quantum ESPRESSO using machine learning, with a focus on linear response methods and transferability.

Explore advanced computational methods for large-scale density functional theory calculations using adaptive finite-element discretization, enhancing materials modeling capabilities.

Explore competing magnetic instabilities in Sr2RuO4, their link to superconductivity, and the onset of static magnetic order under strain using first-principles and self-consistent renormalization theories.

Explore advanced molecular simulation techniques for electrolyte solutions using neural network potentials and DFT, achieving quantum chemical accuracy and revealing novel insights in solution behavior.

Explore cutting-edge features in Q-Chem 6, including spectroscopy modeling, energy decomposition analysis, DFT improvements, quantum mechanochemistry, and nuclear-electronic orbital methods.

Explore how machine learning enhances simulations of matter, from electronic to molecular structures, boosting computational methods and potentially leading to new physical insights and exotic materials.

Learn efficient methods for calculating absolute molecular entropy, combining DFT and semi-empirical approaches to achieve chemical accuracy in free energy computations for realistic chemical reaction modeling.

Explore quantum and classical simulations of water-2D material interfaces, focusing on defects and roughness in hexagonal boron nitride. Gain insights into wettability, slip length, and interfacial properties for desalination and sensing applications.

Explore linear-scaling DFT for simulating thousands of atoms using BigDFT. Learn about localized support functions, fragment approaches, and applications in large-scale quantum simulations.

Explore quantum Monte Carlo techniques for analyzing hydrogen storage in metal-decorated graphene, enhancing understanding of advanced energy storage solutions.

Explore advanced Quantum ESPRESSO concepts: Hubbard and Koopmans functionals from linear response in this in-depth tutorial discussion.

Explore advanced Quantum ESPRESSO concepts: Hubbard and Koopmans functionals from linear response in this comprehensive lecture.

Explore magnetocrystalline anisotropy of heavy rare-earth atoms on graphene using DFT+U method. Uncover electronic and magnetic properties, predict quantum stability, and investigate strain effects.

Explore helical ground state and magnetoelectric properties of 2D Nb3Cl8, examining ferrovalley coupling, magnetic states, and electric field effects on phase transitions.

Explore theoretical study of SrRu2O6, combining DFT and DMFT to investigate its antiferromagnetic properties, spin excitations, and the nature of its paramagnetic state.

Explore DFT+U and DFT+U+V concepts, applications in materials science, and their impact on electronic localization and energetics in various systems.

Learn advanced techniques for calculating Hubbard parameters using linear-response theory in DFT+U(+V) approach. Explore applications in materials science, including battery voltages and vacancy formation energies.