2025
An experimental study of the scattering of ultrasonic compressional waves in an hcp Zn-Sn alloy, serving as an analog to the Fe alloy in Earth’s inner core to better understand the origin of inner core seismic attenuation.
2024
A new Gaussian Process-based modeling framework that predicts the physico-chemical properties of chemical species.
Recommended citation: Cao, X., Gong, M., Tula, A., Chen, X., Gani, R., & Venkatasubramanian, V. (2024). An improved machine learning model for pure component property estimation. Engineering, 39, 61–73. https://doi.org/10.1016/j.eng.2023.08.024
Download Paper
2025
Accurate tracing of grain boundaries in microscopy images is vital in material science, yet current models need more data and a more accurate loss function. In this report, we present a twofold contribution to improving grain-tracing U-nets.