Data management plan for the grant, "EAGER: Experimental Methods and Measurements of Anomalous Properties of Supercritical Fluids and their Mixtures"

Data management plan for the grant, "Cancer Detection and Treatment Based on Low-Level Light Interaction with Biological Cells: Augmentation to Existing Human Performance Research Capabilities."

This article proposes a novel flower classification method that combines enhanced VGG16 (E-VGG16) with decision fusion.

Article explores solid-state additive manufacturing of AZ31B-Mg alloy using additive friction stir deposition. Spatial and temporal evolution of temperature during additive friction stir deposition was predicted using multi-layer computational process model.

Article exploring graph node property prediction. Originally presented as part of the application track at the 38th International Conference on Logic Programming in Haifa, Israel.

Article provides an overview of recent progress in superlubricity research involving solid, liquid, and gaseous media and discuss the prospects for achieving superlubricity in engineering applications leading to greater efficiency, durability, environmental quality, and hence global sustainability.

Article describes how processes including hot compression, cold compression and subsequent annealing on the structures and properties are investigated and compared. They found that applying pressure up to 10 GPa at the glass transition temperature led to permanent densifications and a dramatic increase of elastic moduli by 90%, while thermal annealing reversed the increase and applying pressure at ambient temperature did not increase the modulus.

Data management plan for the grant, "Variable Conductor Radiator for CO2 Deposition in Deep Space Transit"

Data management plan for the grant, "GenCyber Teachers Camp." The goal of the UNT GenCyber Teacher Camp is to increase the cybersecurity expertise of middle and high school Computer Science teachers so that they can introduce cybersecurity curriculum into their classrooms. We will recruit 20 teachers who teach Computer Science and STEM-related middle/high school courses. We will create modules that teachers can use to create positive environments for students and thus to motivate them to gain interest in cybersecurity.