Data underlying the publication: Impact of Model Selection and Conformational Effects on the Descriptors for In Silico Screening Campaigns: a Case Study of Rh-Catalyzed Acrylate Hydrogenation

Dataset

Description

In this research we investigated catalyst-substrate interactions for a Rh-catalyzed hydrogenation reaction. The dataset contains the input and output for DFT optimization performed with Gaussian 16, next to the input and output of conformer searching done via the open-source CREST tool. Additionally, the dataset contains the data and code needed to reproduce each analysis and figure as shown in the publication. Specific details on what each folder contains can be found in the readme.
Date made available20 Feb 2024
PublisherTU Delft - 4TU.ResearchData
Date of data production2024 -

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