Bannwarth Lab
@bannwarthlab.bsky.social
180 followers 270 following 7 posts
Theoretical Chemistry Research Group @ RWTH Aachen University https://ipc.rwth-aachen.de/Bannwarth
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bannwarthlab.bsky.social
Highly enantiopure oxetanes via unprecedented catalytic photochemical method:
In collaboration with @bach-lab.bsky.social and @hauer-lab.bsky.social, our PhD student Mike Pauls helped elucidate the reaction course by quantum chemical calculations! Thanks to all 👏

@jacs.acspublications.org
bannwarthlab.bsky.social
Check out our pre-print on accelerated semi-empirical electronic structure theory calculations on consumer-grade GPUs! ⬇️
chemrxivbot.bsky.social
Acceleration of semi-empirical electronic structure theory calculations on consumer-grade GPUs using mixed precision density matrix purification

Authors: Pit Steinbach, Christoph Bannwarth
DOI: 10.26434/chemrxiv-2025-dqh6v
bannwarthlab.bsky.social
🚂 TTConf (C. Zurek, @nilsvanstaalduinen.bsky.social) - Tensor train optimization for conformational search: doi.org/10.1021/acs....

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Tensor Train Optimization for Conformational Sampling of Organic Molecules
Exploring the conformational space of molecules remains a challenge of fundamental importance to quantum chemistry: identification of relevant conformers at ambient conditions enables predictive simulations of almost arbitrary properties. Here, we propose a novel approach, called TTConf, to enable conformational sampling of large organic molecules where the combinatorial explosion of possible conformers prevents the use of a brute-force systematic conformer search. We employ tensor trains as a highly efficient dimensionality reduction algorithm, effectively reducing the scaling from exponential to polynomial. In our approach, the conformational search is expressed as global energy minimization task in a high-dimensional grid of dihedral angles. Dimensionality reduction is achieved through a tensor train representation of the high-dimensional torsion space. The performance of the approach is assessed on a variety of drug-like molecules in direct comparison to the state-of-the-art metadynamics based conformer search as implemented in CREST. The comparison shows significant acceleration of up to an order of magnitude, while maintaining comparable accuracy. More importantly, the presented approach allows treatment of larger molecules than typically accessible with metadynamics.
doi.org
bannwarthlab.bsky.social
Hello Bluesky! Here’s a look at what we the Bannwarth Lab has been up to so far:

☀️ Investigating photochemical processes with computational chemistry - efficient sampling of minimum energy crossing points (MECP):
doi.org/10.1021/acs....

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