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Page 28 of 35                           Nam et al. Soft Sci 2023;3:28  https://dx.doi.org/10.20517/ss.2023.19

               To address the aforementioned challenges and enhance the performance of the on-skin biosignal recording,
               it is crucial to prioritize the advancement of long-term stability and mechanical robustness while retaining
               high conductivity. As previously discussed, LMs offer a promising approach to fabricating composites with
               minimal hysteresis, as they have a minimal impact on the mechanical properties of polymeric matrices.
               Also, paper-based electronics integrated with nanomaterials can be a promising candidate in wearable
               electronic fields due to their lightweight, environmental friendliness, and biodegradability. Moreover, the
               integration of machine learning and numerical simulation technology can provide a viable means of
               exploring suitable materials and fabrication methodologies for nanocomposites used in wearable devices. By
               implementing such technologies to improve material and device performance, soft nanocomposites with
               high sensitivity and durability will be further employed in bio-integrated electronics.


               DECLARATIONS
               Acknowledgments
               This work was supported by the Institute for Basic Science (IBS-R006-A1). This research was supported by
               the KERI Primary research program of MSIT/NST (No. 23A01064)

               Authors’ contributions
               Nam S, Park C, and Sunwoo SH contributed equally.
               Outlined the manuscript structure: Nam S, Park C, Kim M, Lee H
               Conducted the literature review and wrote the manuscript: Nam S, Park C, Sunwoo SH
               Reviewed and revised the manuscript: Kim DH, Lee M

               Availability of data and materials
               Not applicable.

               Financial support and sponsorship
               This work was supported by the Institute for Basic Science (IBS-R006-A1). This research was supported by
               the KERI Primary research program of MSIT/NST (No. 23A01064).


               Conflicts of interest
               All authors declared that there are no conflicts of interest.

               Ethical approval and consent to participate
               Not applicable.

               Consent for publication
               Not applicable.

               Copyright
               © The Author(s) 2023.

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