Computational science articles within Communications Materials

Featured

  • Article
    | Open Access

    Brain-inspired neuromorphic computing is a key technology for processing an ever-growing amount of data. Here, an artificial synapse with dual resistance modulation mechanisms is demonstrated, achieving a dynamic range of 60, an endurance exceeding 1010 cycles, and more than 10 years of retention.

    • Mattia Halter
    • , Laura Bégon-Lours
    •  & Bert Jan Offrein

  • Article
    | Open Access

    Designing and understanding quantum materials requires continuous feedback between experimental observations and theoretical modelling. Here, a machine learning scheme integrates experiments with theory and modelling on experimental timescales for extracting material parameters and properties of Dy2Ti2O7 spin-ice under pressure.

    • Anjana Samarakoon
    • , D. Alan Tennant
    •  & Santiago A. Grigera

  • Perspective
    | Open Access

    Machine learning is an increasingly important tool for materials science. Here, the authors suggest that its contextual use, including careful assessment of resources and bias, judicious model selection, and an understanding of its limitations, will help researchers to expedite scientific discovery.

    • Naohiro Fujinuma
    • , Brian DeCost
    •  & Samuel E. Lofland

  • Article
    | Open Access

    Recent advances in scanning probe-based tomographic imaging have greatly improved spatial resolution, but systematic and random errors are a serious impediment to reliable data extraction. Here, a combined optimization and alignment algorithm provides a scalable approach to error-correcting reconstruction of large datasets.

    • Sajid Ali
    • , Matthew Otten
    •  & Z. W. Di

  • Article
    | Open Access

    Multi-material 3D printing techniques are now enabling the rational design of metamaterials with both complex geometries and multiple materials compositions. Here, deep-learning methods are used to identify, among planar network structures, the rare designs that yield very unusual and desirable combinations of materials properties.

    • Helda Pahlavani
    • , Muhamad Amani
    •  & Amir A. Zadpoor

  • Article
    | Open Access

    Uranium dioxide is commonly doped with chromium to improve its performance as a nuclear fuel. Here, with the aid of ab initio simulations and re-evaluation of experimental data, the oxidation state of chromium in the uranium dioxide lattice is identified as +2, not the widely believed +3.

    • Mengli Sun
    • , Joshua Stackhouse
    •  & Piotr M. Kowalski

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