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Showing 1–8 of 8 results
Advanced filters: Author: Richard D. Braatz Clear advanced filters

  • This Comment explores why continuous crystallization, despite its success in other industries, remains underutilized in pharmaceutical manufacturing. Among other challenges, we highlight two core issues: the lack of off-the-shelf small-scale equipment with integrated monitoring tools, and the absence of compatible continuous downstream units for filtration and drying, both of which limit practical implementation.

    • Giovanni Aprile
    • Cedric Devos
    • Allan S. Myerson
    Comments & Opinion
    Nature Chemical Engineering
    Volume: 2, P: 520-523

  • Accurately predicting battery lifetime is difficult, and a prediction often cannot be made unless a battery has already degraded significantly. Here the authors report a machine-learning method to predict battery life before the onset of capacity degradation with high accuracy.

    • Kristen A. Severson
    • Peter M. Attia
    • Richard D. Braatz
    Research
    Nature Energy
    Volume: 4, P: 383-391

  • A closed-loop machine learning methodology of optimizing fast-charging protocols for lithium-ion batteries can identify high-lifetime charging protocols accurately and efficiently, considerably reducing the experimental time compared to simpler approaches.

    • Peter M. Attia
    • Aditya Grover
    • William C. Chueh
    Research
    Nature
    Volume: 578, P: 397-402

  • Analysis of a large dataset of scanning transmission X-ray microscopy images of carbon-coated lithium iron phosphate nanoparticles shows that the heterogeneous reaction kinetics of battery materials can be learned from such videos pixel by pixel.

    • Hongbo Zhao
    • Haitao Dean Deng
    • Martin Z. Bazant
    ResearchOpen Access
    Nature
    Volume: 621, P: 289-294

  • Although layered oxides electrodes in lithium-ion batteries are designed under conditions avoiding phase transitions, phase separation during delithiation has been observed. This apparent phase separation is shown to be a dynamical artefact occurring in a many-particle system driven by autocatalytic electrochemical reactions.

    • Jungjin Park
    • Hongbo Zhao
    • William C. Chueh
    Research
    Nature Materials
    Volume: 20, P: 991-999