Conveners
Parallel Session E: Advanced Materials Growth, Characterization, and AI-Enhanced Functionalization
- Lars Kotthoff
Relaxor ferroelectric Lead Magnesium Niobate-Lead Titanate (PMN-PT) crystal has been used in various applications such as medical ultrasound imaging, SONAR, micro-actuation, and energy harvesting due to its high electromechanical coupling coefficient and high piezoelectric coefficient. However, the high cost of PMN-PT stems from low crystal growth yield and limits the wider its application....
MXenes, owing to their unique morphology, high surface-to-volume ratio, and metallic conductivity, have gained significant attention as promising materials for gas sensing. Conventional MXene-based sensors primarily utilize electrical conductivity for signal transduction, but alternative mechanisms, such as mass-sensitive detection, can further enhance their selectivity and stability....
MXenes, a rapidly growing class of two-dimensional materials, are known for their diverse electronic, mechanical, and optoelectronic properties. Among these, double-transition-metal MXenes, such as Cr₂TiC₂Tx, offer even greater tunability in their properties due to the presence of two distinct transition metals. Cr₂TiC₂Tx stands out as a unique material among the MXenes experimentally tested,...
Achieving high-purity, detector-grade germanium (HPGe) crystals is essential for rare-event physics experiments such as dark matter detection and neutrinoless double-beta decay searches. We present a predictive machine learning framework that leverages Long Short-Term Memory (LSTM) networks to forecast the detector-grade yield fraction in HPGe crystal growth, based on experimentally obtained...
