Grimme Lab

@grimmelab.bsky.social

Development and application of efficient computational chemistry methods - based @unibonn.bsky.social. This account is managed by group members of Prof. Stefan Grimme.

QCxMS2 can now also simulate CID mass spectra. Just published in #JASMS : doi.org/10.1021/jasms.5c00234 Grateful to my coauthors Stefan Grimme @grimmelab.bsky.social & Marianne Engeser @unibonn.bsky.social - this is the last project of my PhD and completes my work on QCxMS2! #MassSpec #compchem

Evaluation of the QCxMS2 Method for the Calculation of Collision-Induced Dissociation Spectra via Automated Reaction Network Exploration

Collision-induced dissociation mass spectrometry (CID-MS) is an important tool in analytical chemistry for the structural elucidation of unknown compounds. The theoretical prediction of the CID spectra plays a critical role in supporting and accelerating this process. To this end, we adapt the recently developed QCxMS2 program originally designed for the calculation of electron ionization (EI) spectra to enable the computation of CID-MS. To account for the fragmentation conditions characteristic of CID within the automated reaction network discovery approach of QCxMS2 we adapted the internal energy distribution to match the experimental conditions. This distribution can be adjusted via a single parameter to approximate various activation settings, thereby eliminating the need for explicit simulations of the collisional process. We evaluate our approach on a test set of 13 organic molecules with diverse functional groups, compiled specifically for this study. All reference spectra were recorded consistently under the same measurement conditions, including both CID and higher-energy collisional dissociation (HCD) modes. Overall, QCxMS2 achieves a good average entropy similarity score (ESS) of 0.687 for the HCD spectra and 0.773 for the CID spectra. The direct comparison to experimental data demonstrates that the QCxMS2 approach, even without explicit modeling of collisions, is generally capable of computing both CID and HCD spectra with reasonable accuracy and robustness. This highlights its potential as a valuable tool for integration into structure elucidation workflows in analytical mass spectrometry.

doi.org

🚀 JCIM: "Chemical Space Exploration with Artificial Mindless Molecules" We present MindlessGen, an open-source tool for generating chemically diverse "mindless" molecules, and the MB2061 benchmark set with high-level reference data to test methods on unconventional systems. doi.org/10.1021/acs....

Chemical Space Exploration with Artificial “Mindless” Molecules

We introduce MindlessGen, a Python-based generator for creating chemically diverse, “mindless” molecules through random atomic placement and subsequent geometry optimization. Using this framework, we ...

doi.org

After years of development and preparatory works which you might have seen on this profile, a major milestone is achieved: g-xTB marks not just an evolution, but a revolution in the capabilities of semiempirical quantum chemistry. Convince yourself! A thread. 🔗 chemrxiv.org/engage/chemr... #compchem

g-xTB: A General-Purpose Extended Tight-Binding Electronic Structure Method For the Elements H to Lr (Z=1–103)

We present g-xTB, a next-generation semi-empirical electronic structure method derived from tight-binding (TB) approximations to Kohn–Sham density functional theory (KS-DFT). Designed to bridge the ga...

chemrxiv.org

Congratulations @grimmelab.bsky.social for an impressive 6th place across all disciplines: topresearcherslist.com With #compchem (DFT-D) taking first place in chemistry, and Georg Kresse (VASP/PAW-PPs/DFT) taking the 2nd place (overall, 1st in physics), I'd say: DFT is winning science :)

World's Top 2% Scientists

Discover the world's leading researchers in Stanford University's Top 2% Scientists list, based on citation impact and bibliometric indicators.

topresearcherslist.com

A unique opportunity to collaborate with our group, the Grimme lab, and Prof. Frank Neese’s department at MPI-KOFO! Join us in integrating our latest semiempirical method, g-xTB, into ORCA – unlocking access to even more molecular properties. 📈 Interested? Apply now! 📧 Please reshare this post 🚀

@orca-qc-official.bsky.social · last yr.

The ORCA team is looking for a postdoctoral fellow or Ph.D. student to work on XTB methodology jointly with the group of Prof. Stefan Grimme (University of Bonn).

Wave function methods like CC2/ADC(2) are accurate (also some DHDFs), but too slow to cover large search spaces in high throughout screenings. This is where the state-specific ΔDFT/UKS developed in cooperation with @grimmelab.bsky.social really shines (same for classic DA-TADF and INVEST emitters):

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Working with Stefan has always been an inspiring pleasure. It's particularly fascinating how naturally he navigates the manifold physics that govern chemistry, always on the look for a more elegant and efficient approximation. This award is well deserved! Congratulations @grimmelab.bsky.social!

ChemistryViews@chemistryviews.bsky.social · 2y ago

Stefan Grimme receives the 2025 Chemistry Europe Award! Learn more at https://buff.ly/3BXDVhO. #ChemistryAward #ChemistryEurope