The understanding of wall-bounded flows is of paramount importance in high-speed vehicle design. Estimating aircraft thermal and viscous loads require robust turbulence models that can accurately predict turbulent statistics ...

Estimated ultimate recovery (EUR) predictions are important in the petroleum industry. Many researchers have worked on implementing accurate EUR predictions. In this study, we used machine learning techniques to help predict ...

This study investigates the applications of machine learning (ML) to weather and climate modeling. We first show the potential for data-driven weather prediction by creating a low resolution, ML-based global atmospheric ...

Despite a number of economic and environmental benefits that integration of renewable distributed generation (DG) into the distribution grid brings, there are many technical challenges that arise as well. One of the most ...

Road surface quality is an essential component of roadway infrastructure that leads to better driving standards and reduces risk of traffic accident. Traditional road condition monitoring systems fall short of current need ...

PM2.5 concentrations are monitored at ground stations and are often geographically sparse. Machine learning (ML) methods, and more conventional statistical models, have been used to estimate PM2.5 from aerosol optical depth ...

With increasing congestion of Radio Frequency (RF) spectrum, enabling radar and communication systems to coexist is becoming an important area of research for efficient spectrum utilization. Designing radar systems that ...

One of the obstacles to the deployment of shape memory alloys (SMAs) in solid-state actuation is the low efficiency and functional instability due to the transformation thermal hysteresis and large temperature ranges during ...

Inertial confinement fusion (ICF) experiments at the National Ignition Facility (NIF) and their corresponding computer simulations produce an immense amount of rich data. However, quantitatively interpreting that data remains ...

Analog Integrated Circuit (IC) layout design is typically a labor-intensive process that requires strong human intervention and trial-and-error iterations. Although automated analog layout has been studied for decades, ...