Dive into "Transferable diversity"

Dive into "Transferable diversity"

Data-driven representation of chemical space for general-purpose models

see paper
Our new paper in JPCL

Our new paper in JPCL

Unprecedented accuracy in simulating non-covalent interactions!

see paper
New paper in JCTC

New paper in JCTC

Solving DFT’s strong correlation problem: Our ‘MRF’ in Turbomole

see paper

Quantum Computational
Chemistry Group

Stefan Vuckovic

Who are we?

We are a young, progressive, interdisciplinary group conducting research in quantum chemistry. Our goal is to elevate quantum-chemical simulations to a truly predictive level, thus unlocking their potential for accelerating chemical discovery and addressing pressing societal challenges.

Our research is devoted to developing modern density functional theory (DFT) and bridging the gap between DFT and wavefunction theories. We address the long-standing challenge of strong electronic correlations within DFT and are constructing a pure quantum-chemical framework for precisely describing challenging noncovalent interactions. Our ultimate aim is to stretch the limits of quantum-chemical simulations by establishing a unified, affordable, and accurate framework for simulating both strongly correlated systems—including transition metal catalysts, metal-organic frameworks, open-shell radicals, and functional materials—and noncovalent interactions on the same footing.

News

08.04.2024

Challenges in machine-learned DFT

Challenges in machine-learned DFT

Our work with Tim Gould on the challenges of machine-learned DFT is now in the PCCP Emerging Investigators Collections. Congratulations to Heng Zhao on publishing his first paper just six months into his PhD! 

04.04.2024

SCS Young Symposium

SCS Young Symposium

SCS Young Symposium  talk about machine re-learning of DFT.

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07.03.2024

APS 2024

APS 2024

Our crew at #APS March Meeting 2024

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