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open access

CAREER: Shape Memory Polymers as Biomaterial

Description: Data management plan for the grant, "CAREER: Shape Memory Polymers as Biomaterial." This CAREER projectaimsto elucidate the underlying mechanism of the plasticization-induced shape memory effect of thiol-enebased polymers. The model application for this material will be a heat shrink tubing that can shrink at bodily conditions (37° C and simulated body fluids) and can be used to seal colonic anastomosis. The specific three aims are to (1) Systematically investigate the effect of crosslink-density and chain extender length on theplasticization-induced shape memory effect of thiol-enebased polymers. Mechanical and thermomechanical measurements inside simulated body fluids will be used to assess shape memory properties and structure-property relationships. (2) Understand the relationship between material thickness, degree of shape-programming, and radial recovery forces of tube-shaped SMPs to determine optimal design parameters for sufficient shape recovery using the heat shrink tube model. (3) Demonstrate the functionality of a biomedical heat shrink tube that utilizes the plasticization-induced shape recovery through an ex vivo colon anastomosis model and quantify mechanical and sealing properties.
Date: 2023-02-01/2028-01-31
Creator: Ecker, Melanie
Partner: UNT College of Engineering
open access

Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure

Description: Data management plan for the grant, "Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure." This project aims to develop a novel set of interactive training materials, including hands-on lecture modules, invited research talks from renowned researchers, and an interdisciplinary collaborative project in an intensive workshop, integrating a wide variety of advanced and inter-connected techniques employed by research workforce for deep learning (DL) systems in advanced GPU cyberinfrastructure (CI). Specifically, this project focuses on training seniors, graduate students, and researchers on how advanced GPU CI can be efficiently utilized and improved to enable high-performance DL systems for data-intensive DL applications in geoscience (GS) and computer science and engineering (CSE) research. The goal is to foster future CI users and contributors to adopt, develop, and improve advanced GPU CI for DL systems in their research.
Date: 2022-12-01/2024-11-30
Creator: Shu, Tong
Partner: UNT College of Engineering
open access

CPS: Medium: Integrating sensors, controls, and ecotoxicology with decoupled aquaponics using brackish groundwater and desalination concentrate for sustainable food production

Description: Data management plan for the grant, "CPS: Medium: Integrating sensors, controls, and ecotoxicology with decoupled aquaponics using brackish groundwater and desalination concentrate for sustainable food production." This project aims to develop a cyber-physical system (CPS) testbed of integrated sensors, controls, machine learning, and ecotoxicology tools to engineer sustainable food production systems based on aquaculture using brackish water. The testbed includes an automated recirculating aquaculture system integrated with a real-time ecotoxicology system, implementing the system using desalination concentrate to demonstrate that brackish groundwater desalination costs can be offset by using its byproducts for profitable food production. This project will engage students of the local communities in three major ways: developing an exhibit and activity emphasizing interdisciplinary CPS research conducted during the academic year, offering summer research experiences to students from underrepresented groups, and participating in STEM outreach events targeting underrepresented groups.
Date: 2023-01-01/2025-12-31
Creator: Acevedo, Miguel F.
Partner: UNT College of Engineering
open access

Progress in Superlubricity Across Different Media and Material Systems—A Review

Description: 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.
Date: August 12, 2022
Creator: Ayyagari, Aditya; Alam, Kazi Istiaque; Berman, Diana & Erdemir, Ali
Partner: UNT College of Engineering
open access

Work hardening in metastable high entropy alloys: a modified five-parameter model

Description: Article models work hardening response in TRIP HEAs under tensile deformation, which reflects the hardening due to synergistic activity of multiple deformation mechanisms, using a five-parameter work hardening model.
Date: April 19, 2022
Creator: Haridas, Ravi Sankar; Agrawal, Priyanka; Yadav, Surekha; Agrawal, Priyanshi; Gumaste, Anurag & Mishra, Rajiv
Partner: UNT College of Engineering
open access

Stabilized anode-electrolyte interfaces via Cs4Pb(Cl/Br/I)6 perovskite crystal based glass-ceramics for fast and long cycle-life lithium ion batteries

Description: Article is a study that designs a smart anode/liquid electrolyte interface for high energy density batteries that present large specific capacity retentions.
Date: June 17, 2022
Creator: Xie, Wenqing; Cao, Jianghang; Li, Panpan; Fan, Meiqiang; Xu, Shiqing; Du, Jincheng et al.
Partner: UNT College of Engineering
open access

Ultrawideband Near-Field Probe System for Antenna Research

Description: Data management plan for the grant, "Ultrawideband Near-Field Probe System for Antenna Research." The objective of this project is to acquire an ultrawideband near-field probe system to build a highly capable antenna measurement facility which will provide critical support for the research, development, and testing of new antenna designs and concepts at the University of North Texas (UNT). The requested near-field probe system will be integrated with existing hardware at UNT, including a vector network analyzer and an Albatross Projects shielded chamber, to complete the build for the measurement system that is capable of characterizing three-dimensional radiation patterns of antennas-under-test (AUT) over a wide frequency range of 0.65-18 GHz. The measurement facility will be used to not only support ongoing and future federally funded research of the principal investigators but also enhance undergraduate and graduate education and training in RF, microwave, and antenna engineering at UNT.
Date: 2022-09-01/2023-08-31
Creator: Luyen, Hung
Partner: UNT College of Engineering
open access

GenCyber Teachers Camp

Description: 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.
Date: 2022-08-05/2024-08-05
Creator: Do, Hyunsook & Bryce, Renee
Partner: UNT College of Engineering
open access

In-Situ Monitoring for Quality Assurance and Machine Learning in Direct-Write Additive Manufacturing of 5G RF Electronic Ceramics

Description: Data management plan for the grant, "In-Situ Monitoring for Quality Assurance and Machine Learning in Direct-Write Additive Manufacturing of 5G RF Electronic Ceramics." The principal near-term objective of the PI is to use in-situ monitoring to define the processing rules that determine the microstructure, macrostructure, and high-frequency dielectric response of electronic ceramic materials for advanced RF “grown” by laser-assisted direct-write AM. In-situ measurements will be correlated and validated with ex-situ characterization, and these data will iteratively guide synthesis and processing optimization. In parallel, the experimental measurements will be used as inputs for the physics-based process modeling. Predictions from the experimentally validated models will in turn: 1) guide synthesis and processing optimization and, 2) train and constrain ML. Thus, quality assurance is achieved.
Date: 2022-09-01/2025-06-30
Creator: Shepherd, Nigel D.
Partner: UNT College of Engineering
open access

Cancer Detection and Treatment Based on Low-Level Light Interaction with Biological Cells: Augmentation to Existing Human Performance Research Capabilities

Description: 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."
Date: 2022-08-01/2023-07-31
Creator: Choi, Tae-Youl
Partner: UNT College of Engineering
open access

New approach for identification pHFO networks to predict epilleptogenesis

Description: Data management plan for the grant, "New approach for identification pHFO networks to predict epilleptogenesis." About 40% of epilepsy patients fail to control seizures after treatment, and currently there is no treatment that can prevent epilepsy. The goal of this study is to perform multi-scale electrophysiological investigations combine with advanced computational algorithm development to understand the characteristics of the pathological brain networks during the latent period of epilepsy. The findings of this project will lead to a better understanding of the network mechanisms of epileptogenesis and suggest novel approaches to prevent the process of epileptogenesis.
Date: 2022-07-15/2026-06-30
Creator: Li, Lin
Partner: UNT College of Engineering
open access

A self-powered wireless motion sensor based on a high-surface area reverse electrowetting-on-dielectric energy harvester

Description: Article presents a motion-sensing device with the capability of harvesting energy from low-frequency motion activities. Based on the high surface area reverse electrowetting-on-dielectric (REWOD) energy harvesting technique, mechanical modulation of the liquid generates an AC signal, which is modeled analytically and implemented in Matlab and COMSOL.
Date: March 8, 2022
Creator: Tasneem, Nishat Tarannum; Biswas, Dipon K.; Adhikari, Pashupati R.; Gunti, Avinash; Patwary, Adnan B.; Reid, Russell C. et al.
Partner: UNT College of Engineering
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