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  • Ultra-efficient physical field computing by complex-valued network quantization

  • Rokh, B., Azarpeyvand, A. & Khanteymoori, A. A comprehensive survey on model quantization for deep neural networks in image classification. ACM Trans. Intell. Syst. Technol. 14, 1–50 (2023).

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  • Design and development of a novel instrument for characterizing the mechanical properties of ex vivo human skin

  • Krutmann, J., Bouloc, A., Sore, G., Bernard, B. A. & Passeron, T. The skin aging exposome. J. Dermatol. Sci. 85, 152–161 (2017).

  • McGrath, J. A. & Uitto, J. Anatomy and Organization of Human Skin. in Rook’s Textbook of Dermatology (eds. Burns,…

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  • High-performance graphene oxide desalination membranes enabled by size-sieving, ion exclusion, and cation recognition mechanisms

  • Syed Ibrahim, G. P., Isloor, A. M., Ismail, A. F. & Farnood, R. One-step synthesis of zwitterionic graphene oxide nanohybrid: Application to polysulfone tight ultrafiltration hollow fiber membrane. Sci. Rep. 10, 6880 (2020).

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  • Holistic IoT and cloud-based telemetry architecture for proactive fire monitoring in smart agriculture

  • Velten, S., Leventon, J., Jager, N. & Newig, J. What is Sustainable Agriculture? A Systematic Review. Sustainability 7, 7833–7865 (2015).

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  • Pawlak, K. & Kołodziejczak, M. The Role of…

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  • Exascale computing to accelerate discoveries in astrophysics and space plasma physics

    This work was supported by the SPACE Centre of Excellence, and funded by the European Union and several partner countries under grant 101093441. We also thank ISCRA and the EuroHPC Joint Undertaking for access to the computational resources at…

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  • Interpretation drift in explainable AI under label noise

    Interpretation drift in explainable AI under label noise

    In this section, we study how predictive performance PLNR, and interpretability ILNR of rule-learning algorithms can be impacted by their design and label noise rate. As such, these results do not imply model algorithm benchmarking, but highlight…

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  • Synthetic data-driven deep learning for label-free autonomous atomic force microscopy

  • Binnig, G., Quate, C. F. & Gerber, C. Atomic force microscope. Phys. Rev. Lett. 56, 930 (1986).

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  • Loos, J. The art of SPM: scanning probe microscopy in materials science. Adv. Mater. 17,…

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  • Heat Reveals What Clouds Conceal: Global Carbon and Longitudinally Asymmetric Chemistry on LTT 9779 b

    LTT 9779 b is an ultra-hot Neptune (Rp ≈ 4.7 R⊕, Mp ≈ 29 M⊕) orbiting its Sun-like host star in just 19 hr, placing it deep within the “hot-Neptune desert,” where Neptunian planets are seldom found. We present new James Webb Space…

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  • Interstellar Ultraviolet Lyα High Resolution Mapping from the New Horizons P-Alice Instrument

    We present New Horizons Alice spectral observations of interstellar hydrogen Lyα emissions at a vantage point of 57 au from the Sun. The observations were conducted as a pair of orthogonal scans to produce high spatial angular resolution…

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