Chemical Physics Reviews

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Chemical Physics Reviews

Chemical Physics Reviews

@ChemPhysRev

CPR is a new journal featuring reviews and original research covering all areas of chemical physics. Published by @AIP_Publishing.

Katılım Kasım 2019
118 Takip Edilen790 Takipçiler
Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
The construction of quantitative relationships between polymer structure and properties through machine learning is crucial for the design and preparation of high-performance polymer materials. Learn more 👇 aippub.org/4cYrJes
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Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
This review maps the landscape of excited-state methods: comparing performance, clarifying limitations, and guiding method selection for diverse molecular systems. Learn more 👇 aippub.org/4iHaXSl
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Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
Chiral metal halide perovskites have rapidly advanced for chiral-induced spin selectivity. This article reviews the structural asymmetry, theories, experiments and state-of-the-art spin-LEDs. Learn more 👇 aippub.org/4d6I6pF
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Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
This review introduces computational diabatization schemes for the Dexter type excitation energy transfer coupling and their applications for photosynthetic phenomena such as photoprotection. Learn more 👇 aippub.org/44k2IZ5
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Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
With the relationships between all the most popular polariton Hamiltonians clearly derived in one place, cavity polariton theory becomes more accessible for both new and established researchers. @HuoGroup Learn more 👇 aippub.org/4kDY8L0
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Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
In-operando SFG spectroscopy reveals stable CTAB surfactant monolayers across a wide potential range at electrochemical interfaces, providing new insights for interface engineering. Learn more 👇 aippub.org/4bst8sW
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Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
We review theory of kernel regressions & applications in materials informatics, highlighting relations between different flavors of the method and other ML methods. Kernel designs are also reviewed. @sciencetokyo_en Learn more 👇 aippub.org/4kroQq0
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Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
Exploring the potential of machine learning to predict material properties from chemical composition, with a focus on physics-guided ML for accurate, interpretable predictions in materials science. aippub.org/3En7N7O @MoALGq
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Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
Modeling the Lithium dendrite formation sites/scenarios in the solid electrolyte interphase – a multi-component structure in Li-ion batteries, using high-throughput DFT-NEB and ML techniques. @UStateScience Learn more 👇 aippub.org/495EDp3
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Chemical Physics Reviews
Chemical Physics Reviews@ChemPhysRev·
Publishing #OpenAccess enhances the visibility and impact of research. Our author select program allows researchers to publish OA across our whole portfolio. Read one of the most downloaded articles from Chemical Physics Reviews as we celebrate #OAWeek! 👉 aippub.org/3YjBJZ7
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