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Metals

Metale Precious metals and gold in particular have befuddled analytical attempts to explain and predict prices, perhaps because no single framework seems to work without fail over time.<br>While some might throw up their hands and avoid precious metals altogether, our response is twofold – first, that

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automatic-image-processing-of-cavitation-bubbles-to-analyze-the-properties-of-petroleum-products

Automatic image processing of cavitation bubbles to analyze the properties of petroleum products

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00003J, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Timur Aliev, Ilya Korolev, Olga Burdulenko, Ekaterina Alchinova, Anton Subbota, Mikhail Yasnov, Michael Nosonovsky, Ekaterina V. SkorbMachine-vision analysis of a frame with a gas

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a-multiobjective-closed-loop-approach-towards-autonomous-discovery-of-electrocatalysts-for-nitrogen-reduction

A multiobjective closed-loop approach towards autonomous discovery of electrocatalysts for nitrogen reduction

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D3DD00244F, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Lance Kavalsky, Vinay I. Hegde, Bryce Meredig, Venkatasubramanian ViswanathanWe propose a multiobjective scoring scheme toward closed-loop computational discovery of electrocatalysts. To demonstrate, we autonomously

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repurposing-quantum-chemical-descriptor-datasets-for-on-the-fly-generation-of-informative-reaction-representations:-application-to-hydrogen-atom-transfer-reactions

Repurposing quantum chemical descriptor datasets for on-the-fly generation of informative reaction representations: application to hydrogen atom transfer reactions

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00043A, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Javier E. Alfonso-Ramos, Rebecca M. Neeser, Thijs StuyverIn this work, we explore how existing datasets of quantum chemical properties can be repurposed to build

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extended-similarity-methods-for-efficient-data-mining-in-imaging-mass-spectrometry

Extended similarity methods for efficient data mining in imaging mass spectrometry

Digital Discovery, 2024, 3,805-817DOI: 10.1039/D3DD00165B, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Nicholas R. Ellin, Yingchan Guo, Ramón Alain Miranda-Quintana, Boone M. PrenticeExtended similarity indices facilitate processing complex IMS data and quickly finding correlations between multiple compounds

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the-automated-discovery-of-kinetic-rate-models-–-methodological-frameworks

The automated discovery of kinetic rate models – methodological frameworks

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D3DD00212H, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Miguel Ángel de Carvalho Servia, Ilya Orson Sandoval, King Kuok (Mimi) Hii, Klaus Hellgardt, Dongda Zhang, Ehecatl Antonio del Rio ChanonaTwo automated knowledge discovery

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mlstructuremining:-a-machine-learning-tool-for-structure-identification-from-x-ray-pair-distribution-functions

MLstructureMining: a machine learning tool for structure identification from X-ray pair distribution functions

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00001C, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Emil T. S. Kjær, Andy S. Anker, Andrea Kirsch, Joakim Lajer, Olivia Aalling-Frederiksen, Simon J. L. Billinge, Kirsten M. Ø. JensenWe present MLstructureMining, a

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