Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31373| Title: | De-novo Chemical Reaction Generation by Means of Temporal Convolutional Neural Networks |
| Authors: | Buin A Chiang HY Gadsden SA Alderson FA |
| Department: | Mechanical Engineering |
| Keywords: | 46 Information and Computing Sciences;4611 Machine Learning;Networking and Information Technology R&D (NITRD);Bioengineering;Neurosciences;Machine Learning and Artificial Intelligence;1.1 Normal biological development and functioning |
| Publication Date: | 26-Oct-2023 |
| URI: | http://hdl.handle.net/11375/31373 |
| metadata.dc.identifier.doi: | https://doi.org/10.48550/arxiv.2310.17341 |
| Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2310.17341v3.pdf | Published version | 1.52 MB | Adobe PDF | View/Open |
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