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Elsevier

Journals in Organic synthesis

  • Nano-Structures & Nano-Objects

    • ISSN: 2352-507X
    Nano-Structures & Nano-Objects is a new journal devoted to all aspects of the synthesis and the properties of this new flourishing domain.The journal is devoted to novel architectures at the nano-level with an emphasis on new synthesis and characterization methods. The journal is focused on the objects rather than on their applications. However, the research for new applications of original nano-structures & nano-objects in various fields such as nano-electronics, energy conversion, catalysis, drug delivery and nano-medicine is also welcome.The scope of Nano-Structures & Nano-Objects involves: Metal and alloy nanoparticles with complex nanostructures such as shape control, core-shell and dumbellsOxide nanoparticles and nanostructures, with complex oxide/metal, oxide/surface and oxide /organic interfacesInorganic semi-conducting nanoparticles (quantum dots) with an emphasis on new phases, structures, shapes and complexityNanostruct... involving molecular inorganic species such as nanoparticles of coordination compounds, molecular magnets, spin transition nanoparticles etc. or organic nano-objects, in particular for molecular electronicsNanostruc... materials such as nano-MOFs and nano-zeolitesHetero-... between molecules and nano-objects, between different nano-objects & nanostructures or between nano-objects & nanostructures and surfacesMethods of characterization specific of the nano size or adapted for the nano size such as X-ray and neutron scattering, light scattering, NMR, Raman, Plasmonics, near field microscopies, various TEM and SEM techniques, magnetic studies, etc .
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  • Chem Catalysis

    • ISSN: 2667-1093
    Chem Catalysis is a selective Cell Press journal publishing significant advances across fundamental and applied catalysis, spanning chemistry, materials science, and chemical engineering. The journal covers heterogeneous, homogeneous, and bio- catalysis and includes experimental, theoretical, and machine learning approaches.We welcome work that advances fundamental understanding, establishes new catalytic concepts, reactions, materials, or performance, or opens important directions for the field. Research should go beyond incremental improvements and should instead provide broadly relevant insights, enabling approaches, or advances with significance beyond the system studied. Where relevant, papers should consider factors such as scalability, stability, efficiency, and costs, that highlight potential real-world potential for catalysts and catalytic systems.Chem Catalysis is committed to transparent and reproducible science. We encourage rigorous reporting of methods, data, and experimental and computational conditions to support reproducibility of catalytic research.Catalysis is a key pathway for improving the efficiency and sustainability of the production of chemicals and is central to advancing research in renewable energy, healthcare, and environmental science. We therefore ask authors to categorize their research into at least one of the following five Sustainable Development Goals identified by the United Nations:Good health and well-being (SDG 3)Clean water and sanitation (SDG 6)Affordable and clean energy (SDG 7)Industry, innovation, and infrastructure (SDG 9)Climate action (SDG 13)Chem Catalysis upholds the high-quality publishing standards associated with Cell Press and strives to publish exceptional research of broad relevance to the catalysis community, supported by a fair, rapid, and rigorous peer-review process led by a dedicated team of in-house professional editors.
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