Work with Madlen, Brigitta, Max, Sebastian, @leti_gonzalez @CHHDellago #compchem #openpathsampling #univienna #virapid https://doi.org/10.1021/acs.jctc.2c01088
#compchem #ML #MachineLearning #AI #theochem #chemiverse #chemistry
And here our first contribution of the day: #SHARC to unravel mechanistic pathways in a TADF OLED, just published in Angewandte_Chemie
First paper announcement here !
Very nice paper accepted just now on PCCP, first of FA PhD thesis (so we need to come back to some celebration): detailed study on how nuclear quantum effects can be modeled in thermal unimolecular fragmentation.
A preprint is available here:
https://chemrxiv.org/engage/chemrxiv/article-details/63595357311072ffa5f0c3d1
In the present work, we investigate how nuclear quantum effects modify the temperature dependent rate constants and, consequently, the activation energies in unimolecular reactions. In the reactions under study, nuclear quantum effects mainly stem from the presence of a large zero point energy. Thus, we investigate the behavior of methods compatible with direct dynamics simulations, the Quantum Thermal Bath (QTB) and Ring Polymer Molecular Dynamics (RPMD). To this end, we first compare them with quantum reaction theory for a model Morse potential before extending this comparison to molecular models. Our results show that, in particular in the temperature range comparable with or lower than the zero point energy of the system, the RPMD method is able to correctly capture nuclear quantum effects on rate constants and activation energies. On the other hand, although the QTB provides a good description of equilibrium properties including zero-point energy effects, it largely overestimates the rate constants. The origin of the different behaviours is in the different distance distributions provided by the two methods and in particular how they differently describe the tails of such distributions.
Hey #ChemiVerse
Nature Chemistry is recruiting for a full-time editor!
The ideal candidate will have expertise in chemical biology or biological chemistry.
Closing date for applications: 12th December
Locations: London, Berlin, New York, Shanghai
#Editorial #Publishing #Chemistry #Jobs #ScienceJobs #ChemJobs
Boosts appreciated!
Here's my (currently) favourite figure I made. It's mainly about the colours but the science is also really neat.
I implemented a simple machine learning method based on an XOR (yes!) and a small MLP that outperforms DFT- and transformer-based methods when predicting reaction yields.
You can actually use it right now to predict the yield of Buchwald-Hartwig reactions: https://colab.research.google.com/drive/1VvzSBwCkMi7vi653hTlzZV1YRt_8mk5n?usp=sharing
or just read the paper ;-)
https://pubs.rsc.org/en/content/articlelanding/2022/dd/d1dd00006c