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Water-induced Spinodal Decomposition of Mixed Halide Perovskite captured by Real-Time Liquid TEM Imaging

Energy Environ. Sci., 2024, Accepted ManuscriptDOI: 10.1039/D4EE03381G, Paper Nicolas Folastre, Mohammad Ali Akhavan Kazemi, Kirill A. Cherednichenko, Arash Jamali, Jean Rousset, Frederic Sauvage, Arnaud DemortièreHybrid halide perovskite materials face significant challenges in reaching long-term stability, particularly due to their vulnerability to humidity. While encapsulation can provide

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Efficient 1.77 eV-bandgap perovskite and all-perovskite tandem solar cells enabled by long-alkyl phosphonic acid

Energy Environ. Sci., 2024, Advance ArticleDOI: 10.1039/D4EE02483D, Paper Hongling Guan, Shiqiang Fu, Guojun Zeng, Weiqing Chen, Chen Wang, Hongsen Cui, Dexin Pu, Peng Jia, Weiwei Meng, Guojia Fang, Weijun KeIncorporating dodecylphosphonic acid additives into 1.77 eV-bandgap perovskites enabled single-junction solar cells to achieve a PCE of

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An innovative CuxAg50−x/UiO66-NH2 photocatalyst prepared using a dual ship bottling strategy for photocatalytic CO2 reduction: controlled product selectivity and pathways

Energy Environ. Sci., 2024, Advance ArticleDOI: 10.1039/D4EE03103B, Paper Lipeng Jiang, Dengqian Chen, Zhengkai Hao, Dongxue Cao, Runqiao Liu, Jingyu Cheng, Limei Chen, Xin Liu, Boyin Jia, Dongdong LiuThis study proposed a “dual ship bottling” strategy to synthesize CuxAg50−x/UiO66-NH2, achieving over 90% selectivity for reduced carbon products.To

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data-driven-exploration-of-silver-nanoplate-formation-in-multidimensional-chemical-design-spaces

Data-driven exploration of silver nanoplate formation in multidimensional chemical design spaces

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00211C, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Huat Thart Chiang, Kiran Vaddi, Lilo PozzoWe present an autonomous data-driven framework that iteratively explores the experimental design space of silver nanoparticle synthesis to

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cost-informed-bayesian-reaction-optimization

Cost-Informed Bayesian Reaction Optimization

Digital Discovery, 2024, Accepted ManuscriptDOI: 10.1039/D4DD00225C, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Alexandre Alain Schoepfer, Jan Weinreich, Ruben Laplaza, Jerome Waser, Clemence CorminboeufBayesian optimization (BO) is an efficient method for solving complex optimization problems, including those

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machine-learning-assisted-analysis-of-dry-and-lubricated-tribological-properties-of-al–co–cr–fe–ni-high-entropy-alloy

Machine learning-assisted analysis of dry and lubricated tribological properties of Al–Co–Cr–Fe–Ni high entropy alloy

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00169A, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Saurabh Vashistha, Bashista Kumar Mahanta, Vivek Kumar Singh, Neha Sharma, Anjan Ray, Saurabh Dixit, Shailesh Kumar SinghThis study marks a notable advancement in tribology

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a-comprehensive-review-of-emerging-approaches-in-machine-learning-for-de-novo-protac-design

A Comprehensive Review of Emerging Approaches in Machine Learning for De Novo PROTAC Design

Digital Discovery, 2024, Accepted ManuscriptDOI: 10.1039/D4DD00177J, Review Article Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Yossra Gharbi, Rocio MercadoTargeted protein degradation (TPD) is a rapidly growing field in modern drug discovery that aims to regulate the intracellular

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learning-material-synthesis–process–structure–property-relationship-by-data-fusion:-bayesian-co-regionalization-n-dimensional-piecewise-function-learning

Learning material synthesis–process–structure–property relationship by data fusion: Bayesian co-regionalization N-dimensional piecewise function learning

Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00048J, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.A. Gilad Kusne, Austin McDannald, Brian DeCostAutonomous materials research labs require the ability to combine and learn from diverse data streams.To cite this article

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