Calls for papers

Highlight your research and enhance its visibility to your field and community by submitting to one of our calls for papers, for our upcoming Guest Edited Collections. For enquiries, please contact scirep.collection@springernature.com.

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  • Microscopic Imaging in Deep Tissue

    This Collection will highlight Articles that involve new tools and emerging techniques for imaging at increased penetration depths within tissue as well as considering advances in conventional and state-of-the-art light microscopy techniques.
      Collection
      Submission status: Open Deadline: 09 October 2024

    • Neural Architecture Search (NAS)

      This Collection presents original research highlighting efforts in creating more efficient and scalable NAS algorithms that can adapt to different tasks and hardware constraints.
      • Snigdhansu Chatterjee, PhD
      • Vasileios Maroulas, PhD
      Collection
      Submission status: Open Deadline: 27 September 2024

    • Quantum Machine Learning (QML)

      This collection is dedicated to research endeavors aimed at overcoming challenges related to noise and error correction in quantum systems, improving the scalability of quantum algorithms, and identifying practical applications where quantum machine learning can provide significant advantages.
      • Prasanna Date, PhD
      • Gabriel A. Silva, MSc, PhD
      • Snekhalatha Umapathy, M,E PhD
      Collection
      Submission status: Open Deadline: 25 September 2024

    • Advances in catalytic hydrogen evolution

      This collection encourages submissions related to hydrogen evolution catalysis, particularly where hydrogen gas is the primary product. This is a cross-journal partnership between the Energy Materials team at Nature Communications with Communications Chemistry, Communications Engineering, Communications Materials, and Scientific Reports. We seek studies covering a range of perspectives including materials design & development, catalytic performance, or underlying mechanistic understanding. Other works focused on potential applications and large-scale demonstration of hydrogen evolution are also welcome.
        Collection
        Submission status: Open Deadline: 18 September 2024

      • Radio Astronomy

        This collection features research highlights in radio astronomy and technical developments enabling radio observations of various astronomical sources.
          Collection
          Submission status: Open Deadline: 18 September 2024

        • Transport Phenomena in Electrochemical Devices

          This collection welcomes original research aimed at delving into the fundamental understanding of the origin of transport resistances, and development of operando diagnostic techniques, advanced computational models, robust materials, and innovative operating strategies to reduce transport resistances in electrochemical energy conversion devices, including fuel cells, water electrolyzers, CO2/CO/N2 reduction devices, flow batteries, and solid-state batteries.
          • ChungHyuk Lee, PhD
          • Jason Keonhag Lee, PhD
          • Mayank Sabharwal, PhD
          • Gaoqiang Yang, PhD
          Collection
          Submission status: Open Deadline: 04 September 2024

        • Microphysiological Systems

          The editors at Nature Communications, Communications Biology, Communications Engineering and Scientific Reports invite submissions on Microphysiological Systems, specifically Engineering Advances, Modeling Biological Phenomena and Modelling Disease & Drug Testing.
            Collection
            Submission status: Open Deadline: 22 August 2024

          • Information Entropy

            This collection invites original research submissions that explore the complexity and dynamics of large networks and foster deeper integration of entropy concepts with emerging technologies like machine learning and quantum computing.
            • Alexander V. Mantzaris, PhD
            • Constantinos Patsakis, PhD
            Collection
            Submission status: Open Deadline: 21 August 2024

          • Adaptive Decision Support Systems

            This Collection presents original research highlighting the development of ADSS algorithms to address challenges in long-term adaptation, interpretability, fairness, and scalability, as well as the exploration of new applications of ADSS.
            • Jeffrey Varner, PhD
            • Shaoping Xiao, PhD
            • Zeyu Zheng, PhD
            Collection
            Submission status: Open Deadline: 16 August 2024