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Automatic approaches, response parameterisation, and knowledge science in organometallic chemistry and catalysis: in opposition to making improvements to artificial chemistry and accelerating mechanistic working out

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D3DD00249G, Review Article Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. Stuart C. Smith, Christopher S. Horbaczewskyj, Theo F. N. Tanner, Jacob J. Walder, Ian J. S. FairlambThis review discusses the use of automation

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investigating-the-reliability-and-interpretability-of-system-studying-frameworks-for-chemical-retrosynthesis

Investigating the Reliability and Interpretability of System Studying Frameworks for Chemical Retrosynthesis

Digital Discovery, 2024, Accepted ManuscriptDOI: 10.1039/D4DD00007B, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Friedrich Hastedt, Rowan Mark Bailey, Klaus Hellgardt, Sophia Yaliraki, Antonio Del Rio Chanona, Dongda ZhangMachine learning models for chemical retrosynthesis have attracted substantial

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successfully-fixing-the-curse-of-feature-space-dimensionality-for-advanced-peptide-classification

Successfully fixing the curse of feature-space dimensionality for advanced peptide classification

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00079J, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Mario Negovetić, Erik Otović, Daniela Kalafatovic, Goran MaušaEfficient feature extraction and selection from SMILES format of large AMP and small CAT dataset for ML-based

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intermat:-accelerating-band-offset-prediction-in-semiconductor-interfaces-with-dft-and-deep-studying

InterMat: Accelerating Band Offset Prediction in Semiconductor Interfaces with DFT and Deep Studying

Digital Discovery, 2024, Accepted ManuscriptDOI: 10.1039/D4DD00031E, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Kamal Choudhary, Kevin GarrityWe introduce a computational framework (InterMat) to predict band offsets of semiconductor interfaces using density functional theory (DFT) and graph neural

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multiscale-correlative-imaging-unearths-sequential-and-heterogeneous-degradations-in-rapid-charging-batteries

Multiscale Correlative Imaging Unearths Sequential and Heterogeneous Degradations in Rapid-Charging Batteries

Energy Environ. Sci., 2024, Accepted ManuscriptDOI: 10.1039/D4EE01497A, PaperDechao Meng, Zhichen Xue, Guokang Chen, Dengke Zhou, Yushi He, Zi-Feng Ma, Yijin Liu, Linsen LiFast-charging lithium-ion batteries provide a promising solution to addressing the range anxiety of electric vehicles (EVs) but they face challenges in durability and

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cooperating-oxidation-of-nh3-and-h2o-to-selectively-produce-nitrate-by-way-of-a-just-about-barrierless-n–o-coupling-pathway

Cooperating Oxidation of NH3 and H2O to Selectively Produce Nitrate by way of a Just about Barrierless N–O Coupling Pathway

Energy Environ. Sci., 2024, Accepted ManuscriptDOI: 10.1039/D4EE01483A, PaperKun Dang, Lei Wu, Siqin Liu, Hongwei Ji, Chuncheng Chen, Yuchao Zhang, Jincai ZhaoPhotoelectrochemical (PEC) direct ammonia oxidation presents a sustainable alternative to the industrial production of nitrate or nitrite (NOx−), while the highly selective NOx− synthesis remains

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