Positron emission particle tracking using machine learning offers crucial biomedical applications, such as the study of blood flow and the study of gastrointestinal circulation.
Using phase-boundary engineering, researchers synthesize transitional ferroelectrics, which have high, temperature-independent piezoelectric and dielectric coefficients.
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