Learning Chemical Intuition: From Molecular Models to Neural Networks

This article examines how both chemists and neural networks learn to predict chemical reactivity through different yet complementary frameworks, exploring how to effectively combine human chemical intuition with machine learning.

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Bibliographic Details
Main Author: Magdalena Lederbauer
Format: Article
Language:deu
Published: Swiss Chemical Society 2025-03-01
Series:CHIMIA
Subjects:
Online Access:https://www.chimia.ch/chimia/article/view/7824
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