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Procedure characterization for tisane building the use of pomegranate waste: an natural drink optimization technique

Sustainable Food Technol., 2024, Advance ArticleDOI: 10.1039/D3FB00202K, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. Aastha Dewan, Sanya Dawra, Nita Kaushik, Ajay Singh, Sheetal Thakur, Sandeep Kaur, Janifer Raj XavierThe present study aimed to utilize pomegranate waste in

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correction:-working-out-the-patterns-that-neural-networks-be-informed-from-chemical-spectra

Correction: Working out the patterns that neural networks be informed from chemical spectra

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD90005G, Correction Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Laura Hannemose Rieger, Max Wilson, Tejs Vegge, Eibar FloresTo cite this article before page numbers are assigned, use the DOI form of citation above.The

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chemical-house-research-and-belongings-prediction-for-carbon-seize-solvent-molecules

Chemical house research and belongings prediction for carbon seize solvent molecules

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D3DD00073G, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.James L. McDonagh, Stamatia Zavitsanou, Alexander Harrison, Dimitry Zubarev, Theordore van Kessel, Benjamin H. Wunsch, Flaviu CipciganA chemical space analysis of carbon capture amines

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spinoff-based-pre-training-of-graph-neural-networks-for-fabrics-assets-predictions

Spinoff-based pre-training of graph neural networks for fabrics assets predictions

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D3DD00214D, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Shuyi Jia, Akaash R. Parthasarathy, Rui Feng, Guojing Cong, Chao Zhang, Victor FungGeneral pre-training strategy of graph neural networks for materials science.To cite this

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lively-studying-of-neural-community-potentials-for-uncommon-occasions

Lively studying of neural community potentials for uncommon occasions

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D3DD00216K, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Gang Seob Jung, Jong Youl Choi, Sangkeun Matthew LeeDeveloping an automated active learning framework for Neural Network Potentials, focusing on accurately simulating bond-breaking in

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discovery-of-novel-reticular-fabrics-for-carbon-dioxide-seize-the-usage-of-gflownets

Discovery of novel reticular fabrics for carbon dioxide seize the usage of GFlowNets

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00020J, Communication Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Flaviu Cipcigan, Jonathan Booth, Rodrigo Neumann Barros Ferreira, Carine Ribeiro dos Santos, Mathias SteinerGFlowNets discover reticular materials with simulated CO2 working capacity outperforming all

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