scholarly article | Q13442814 |
P356 | DOI | 10.1088/2632-2153/ABC81D |
P50 | author | Jean-Louis Reymond | Q42719788 |
Alain C. Vaucher | Q62623227 | ||
Philippe Schwaller | Q87708901 | ||
Teodoro Laino | Q114271251 | ||
P2860 | cites work | SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules | Q28090714 |
FUn: A Framework for Interactive Visualizations of Large, High Dimensional Datasets on the Web. | Q47304455 | ||
Planning chemical syntheses with deep neural networks and symbolic AI. | Q51095881 | ||
AiZynthFinder: a fast, robust and flexible open-source software for retrosynthetic planning | Q104132867 | ||
Visualization of very large high-dimensional data sets as minimum spanning trees | Q106856815 | ||
P4510 | describes a project that uses | deep learning | Q197536 |
P433 | issue | 1 | |
P921 | main subject | deep learning | Q197536 |
P304 | page(s) | 015016 | |
P577 | publication date | 2021-03-01 | |
P1433 | published in | Machine Learning Science and Technology | Q96726301 |
P1476 | title | Prediction of chemical reaction yields using deep learning | |
P478 | volume | 2 |
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