ESP32-S3 Bench Guide
ESP32-S3 N16R8 bench guide: live pinout, lessons, simulators and the bench log.
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檢視完整 README ↗Reactivity Learn is a Quizlet-style trainer for nucleophilicity, electrophilicity and regioselectivity in organic chemistry, built on Mayr's reactivity scales. Everything is in one HTML file.
Radicals and redox chemistry have their own pages: Radical Learn (radical philicity, polarity matching, radical regioselectivity) and Photoredox Learn (redox potentials, electron transfer, photoredox cycles).
Play it here: https://chemtrain.github.io/reactivity-learn/reactivity_learn.html
You can also download reactivity_learn.html and open it in any browser.
Every N, sN and E value comes from Mayr's Database of Reactivity Parameters (LMU München). Each card names its database entry and the paper the value was published in; please cite those papers when you use the values, as the database asks. Only entries rated two stars or more are used.
The site and regioselectivity questions and their explanations were written for this app; the explanations of ambident reactivity follow H. Mayr, M. Breugst, A. R. Ofial, Angew. Chem. Int. Ed. 2011, 50, 6470. The Theory page lists its references. Structures are drawn with RDKit.
If you use Reactivity Learn in a course, a worksheet or a paper, please cite it:
Bindschaedler, Q. Reactivity Learn (2026). ChemTrain. https://github.com/ChemTrain/reactivity-learn
GitHub's Cite this repository button (from CITATION.cff) gives the same reference in APA and BibTeX.
logo.svg): the locomotive is adapted from Twemoji, © Twitter, Inc and other contributors, licensed under CC BY 4.0; the benzene-ring smoke was added for ChemTrain.The N, sN and E values are measurements published by others; please cite their sources as well.