Juni 10, 2024 In Unkategorisiert
Deep Studying-Primarily based Advice Device for Steel-Natural Frameworks (MOFs)
Digital Discovery, 2024, Accepted Manuscript
DOI: 10.1039/D4DD00116H, Paper
DOI: 10.1039/D4DD00116H, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Xiaoqi Zhang, Kevin Maik Jablonka, Berend Smit
This work presents a recommendation system for metal-organic frameworks (MOFs) inspired by online content platforms. By leveraging the unsupervised Doc2Vec model trained on document-structured intrinsic MOF characteristics, the model embeds…
The content of this RSS Feed (c) The Royal Society of Chemistry
This work presents a recommendation system for metal-organic frameworks (MOFs) inspired by online content platforms. By leveraging the unsupervised Doc2Vec model trained on document-structured intrinsic MOF characteristics, the model embeds…
The content of this RSS Feed (c) The Royal Society of Chemistry
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