Q-MS organizes schools on materials science based on first-principles multiscale modeling software. Comprehensive introductory lectures are followed by step-by-step training on materials modeling problems — available virtually and in person.
Modeling materials with Quantum ESPRESSO.
Introduce solvent and electrolyte effects with ENVIRON.
Tackle complexity and large scales with eQE and eDFTpy.
Use and develop data-driven classical polarizable potentials with MBX.
ML/data-based and physics-based methods — talks by postdocs, graduate and undergraduate students.
View program → 2025A week-long quantum & data-driven multiscale school: tutorials, talks, and challenges.
View program → 2024Boise, ID — hands-on training on Quantum ESPRESSO and embedding.
View program → 2023Boise, ID — continuum embeddings in DFT simulations of periodic systems.
View program → 2022Virtual mini-symposium on QM/MM implementation and algorithms.
View program → 2021Invited lectures and instructor-led training, in person and virtual.
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