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Benchmarking graph neural networks for materials chemistry
Graph neural networks (GNNs) have received intense interest as a rapidly expanding class of machine learning models remarkably well-suited for materials applications.
Victor Fung+3 more
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Spectroscopy in Materials Chemistry [PDF]
Today, as nanotech continues to develop, materials chemistry is one of the key fields covering topics such as porous materials, metal-organic-framework materials, photocatalysts, magnetic materials, nanobiomaterials, and energy materials for fuel cells and batteries.
Tifeng Jiao+4 more
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Functional Porous Materials Chemistry [PDF]
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Jihong Yu, Avelino Corma, Yi Li
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Engineering Stable Lead‐Free Tin Halide Perovskite Solar Cells: Lessons from Materials Chemistry
Substituting toxic lead with tin (Sn) in perovskite solar cells (PSCs) is the most promising route toward the development of high‐efficiency lead‐free devices.
Thomas J. Macdonald+4 more
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Imaging the Chemistry of Materials Kinetics
The kinetics of most of chemical energy storage and conversion processes is rate-limited by the mass transport through matter. There is an uncertainty on the corresponding kinetic models, especially if based solely on kinetic theory. Henceforth analytical strategies coupled to setups, in order to capture data for overcoming this limitation are ...
Borgschulte, Andreas+10 more
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Colloidal Nanocrystals: A Toolbox for Materials Chemistry
Colloidal nanocrystals are the ideal building blocks for the fabrication of functional materials. Using various assembly, patterning or processing techniques, the nanocrystals can be arranged with unprecedented flexibility in 1-, 2- or 3-dimensional ...
Fabian Matter+2 more
doaj +1 more source
Synthetic 3D Extracellular Matrices (ECM) find application in cell studies, regenerative medicine and drug discovery. While cells cultured in a monolayer may exhibit unnatural behavior and develop very different phenotypes and genotypes than in vivo ...
J. Nicolas+5 more
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Reviewing the Safe Shipping of Lithium-Ion and Sodium-Ion Cells: A Materials Chemistry Perspective
High energy density lithium-ion (Li-ion) batteries are commonly used nowadays. Three decades’ worth of intense research has led to a good understanding on several aspects of such batteries. But, the issue of their safe storage and transportation is still
Ashish Rudola+2 more
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Graph neural networks for materials science and chemistry [PDF]
Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis routes of new materials. Graph neural
Patrick Reiser+10 more
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