Grüneis Lab

Vienna University of Technology

Ostösterreich (AT1) · Austria

ERC-funded
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ERC Consolidator Grant · 2022

A quantum chemical approach to dynamic properties of real materials

Computational materials science, using ab initio simulations and high-performance computing, is expected to play a key role in realizing the vision of ‘materials by design’. However, the goal to discover game-changing materials with scientific and industrial relevance requires highly accurate ab initio methods for excited state as well as ground state properties of atoms, molecules and solids. So far, due to the computational complexities involved, methods with systematically improvable accuracy for condensed matter systems, such as coupled-cluster theories, are mostly limited to the study of ground state properties in the clamped-nuclei approximation. This ambitious proposal aims at…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.

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