Influence of Neighbor Bonds on Additive Bond Properties in Paraffins

By J. Platt. 1947

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Citations in the corpus

Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction (2017, background): “Molecular descriptors are engineered features developed through historical research that stretches back to the late 1940s [26], and over 5000 molecular descriptors have been developed from rule-based chemistry knowledge [31].”
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction (2017, background): “Feature engineering is a long-standing pillar in historical chemistry research that stretches back to the late 1940s [19].”
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models (2017, background): “Therefore, modern cheminformatics research is dependent on the substantial accumulation of chemistry research and knowledge dating back to the 1940s where the first molecular descriptors like the Wiener index and Platt number were reported in the literature.(31-32) Therefore, the development of an a”
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties (2017, background): “Feature engineering in chemistry is a sophisticated science that stretches back to the late 1940s [30].”
The Use of Topological Indices in QSAR and QSPR Modeling (2017, methodology): “Platt (1947) devised a simple scheme to predict the physicochemical properties of alkanes, by summing the number of adjacent bonds for each atom.”