<scp>Heron:</scp>Visualizing and Controlling Chemical Reaction Explorations and Networks

Automated and high-throughput quantum chemical investigations into chemical processes have become feasible in great detail and broad scope. This results in an increase in complexity of the tasks and in the amount of generated data. An efficient and intuitive way for an operator to interact with these data and to steer virtual experiments is required. Here, we introduce Heron, a graphical user interface that allows for advanced human-machine interactions with quantum chemical exploration campaigns into molecular structure and reactivity. Heron offers access to interactive and automated explorations of chemical reactions with standard electronic structure modules, haptic force feedback, microkinetic modeling, and refinement of data by automated correlated calculations including black-box complete active space calculations. It is tailored to the exploration and analysis of vast chemical reaction networks. We show how interoperable modules enable advanced workflows and pave the way for routine low-entrance-barrier access to advanced modeling techniques.

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Publication Details

Journal
The Journal of Physical Chemistry A
Published
2024-10-03
DOI
https://doi.org/10.1021/acs.jpca.4c03936
Citations
4
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.47

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article

Heron:Visualizing and Controlling Chemical Reaction Explorations and Networks

Paul L. Türtscher, Jan P. Unsleber, Thomas Weymuth, Katja‐Sophia Csizi et al.
4 citations
The Journal of Physical Chemistry A
Machine Learning in Materials Science
0.47
article

Heron:Visualizing and Controlling Chemical Reaction Explorations and Networks

Paul L. Türtscher, Jan P. Unsleber, Thomas Weymuth, Katja‐Sophia Csizi, Miguel Steiner, Moritz Bensberg, Markus Reiher, Maximilian Mörchen, Charlotte H. Müller
article en
4 citations

Abstract

Automated and high-throughput quantum chemical investigations into chemical processes have become feasible in great detail and broad scope. This results in an increase in complexity of the tasks and in the amount of generated data. An efficient and intuitive way for an operator to interact with these data and to steer virtual experiments is required. Here, we introduce Heron, a graphical user interface that allows for advanced human-machine interactions with quantum chemical exploration campaigns into molecular structure and reactivity. Heron offers access to interactive and automated explorations of chemical reactions with standard electronic structure modules, haptic force feedback, microkinetic modeling, and refinement of data by automated correlated calculations including black-box complete active space calculations. It is tailored to the exploration and analysis of vast chemical reaction networks. We show how interoperable modules enable advanced workflows and pave the way for routine low-entrance-barrier access to advanced modeling techniques.

The Journal of Physical Chemistry AVol. 128(41)
ETH Zurich (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Eidgenössische Technische Hochschule Zürich, Staatssekretariat für Bildung, Forschung und Innovation
Openalex Percentile: Top 38%
Machine Learning in Materials Science
0.47
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<scp>Heron:</scp>Visualizing and Controlling Chemical Reaction Explorations and Networks — Paul L. Türtscher, Jan P. Unsleber, et al. · The Journal of Physical Chemistry A (2024) | TGRS Research Map | TGRS