
Explore Julia's potential in materials modeling, covering its advantages, ecosystem, and applications in atomistic simulations and density functional theory.

Explore density-functional theory fundamentals, focusing on Hubbard and Koopmans functionals from linear response in advanced quantum calculations.

Explore first-principles calculation of Hubbard parameters using linear-response theory in advanced Quantum ESPRESSO applications for materials science.

Explore Hubbard and Koopmans functionals in Density Functional Theory, focusing on applications in battery materials and addressing limitations of standard DFT methods.

Explore dynamical extensions of DFT+U, focusing on Hubbard and Koopmans functionals from linear response. Learn about spectral properties, Green's functions, and dynamical self-energies.

Explore Koopmans compliance and its role in developing a functional theory of spectral density, advancing understanding of Hubbard and Koopmans functionals in quantum systems.

Explore Koopmans functionals in quantum calculations: minimization techniques, screening coefficients, and practical applications for advanced materials modeling.

Explore Koopmans functionals in quantum mechanics, covering fundamental principles and applications in advanced Quantum ESPRESSO calculations.

Explore Koopmans spectral functionals implementation in periodic boundary conditions for advanced Quantum ESPRESSO applications.

Explore high-throughput screening of inorganic materials for novel 2D monolayers, focusing on magnetic properties and potential applications in magnet-semiconductor heterostructures.

Explore techniques for predicting magnetic ground states using VASP. Learn about cluster multipole expansion, SDFT energy landscapes, and practical tips for first-principles calculations in magnetism.

Explore molecular simulations of ionic liquid systems, examining structural and optoelectronic properties for advanced applications.

Explore modeling of out-of-plane deformation in 2D sheets and bilayers, focusing on graphene and hBN. Examine applications to strained sheets, dislocation dipoles, and grain boundaries in flexible layers.

Explore MaZe, a novel approach for simulating adiabatic systems in physics. Learn about its applications in first principles simulations, polarizable systems, and ionic transport studies.

Explore computational methods for controlling carriers in semiconductors, focusing on density functional theory and phase-boundary mapping for thermoelectric defect engineering.

Explore cutting-edge research on electride high-temperature superconductors, focusing on the search for novel materials with potential technological applications.

Explore light-matter interactions in condensed matter physics using density-functional theory. Investigate giant bulk photovoltaic effect in WS2 nanotubes and optoelectronic manifestation of orbital angular momentum in helical Se chains.

Explore DFT challenges in correlated materials, focusing on SCAN functional's improvements for open-shell d- and f-electron systems. Analyze error sources and symmetry breaking effects.

Explore an enhanced method for simulating strongly correlated materials using ghost-rotationally-invariant slave-boson (g-RISB) approach, improving accuracy in describing material properties with realistic parameters.

Explore how machine learning and physics-based methods synergize to revolutionize materials science, addressing challenges in data-driven design across various technology fields with Schrödinger's innovative tools.

Explore ab initio DMFT methodologies for understanding correlated quantum materials, their novel physics, and potential applications in quantum information science.