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

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

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."
Date: 2023-11-01/2026-10-31
Creator: Shepherd, Nigel D.
Object Type: Text
System: The UNT Digital Library
Construction and characterization of superhydrophobic wood coatings using one-step technique (open access)

Construction and characterization of superhydrophobic wood coatings using one-step technique

Article describes how this study was aiming at enhancing the stain resistance and durability of varnish on wood surfaces, a super hydrophobic solution was created by blending the synthetic ZIF-8/paraffin with Hexadecyltrimethoxysilane at a specified mass ratio. This superhydrophobic mixture was then directly applied onto the wood varnish coating using a one-step method.
Date: November 22, 2023
Creator: Cao, Shuai; Cheng, Shuai; Wang, Pengyu; Ge, Shengbo; Cai, Liping & Cai, Jiabin
Object Type: Article
System: The UNT Digital Library
Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices (open access)

Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices

Article describes how embedded devices, constrained by limited memory and processors, require deep learning models to be tailored to their specifications. This research explores customized model architectures for classifying drainage crossing images.
Date: November 12, 2023
Creator: Li, Yuke; Baik, Jiwon; Rahman, Md Marufi; Anagnostopoulos, Iraklis; Li, Ruopu & Shu, Tong
Object Type: Article
System: The UNT Digital Library
Detergent-Based Decellularization for Anisotropic Cardiac-Specific Extracellular Matrix Scaffold Generation (open access)

Detergent-Based Decellularization for Anisotropic Cardiac-Specific Extracellular Matrix Scaffold Generation

Article describes how cell-derived extracellular matrix has become increasingly popular in tissue engineering applications due to its ability to provide tailored signals for desirable cellular responses. The objective of this study was to assess the efficacy of two detergent-based decellularization methods: a combination of ethylenediaminetetraacetic acid and sodium dodecyl sulfate and a combination of sodium deoxycholate and deoxyribonuclease.
Date: November 17, 2023
Creator: Chen, Te-An; Sharma, Dhavan; Jia, Wenkai; Ha, Donggi; Man, Kun; Zhang, Jianhua et al.
Object Type: Article
System: The UNT Digital Library
Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder (open access)

Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder

Article describes how Aerosol Optical Depth (AOD)is a crucial atmospheric parameter in comprehending climate change, air quality, and its impacts on human health. This study presents a new solution to this challenge by providing a long-term, gapless satellite-derived AOD dataset for Texas from 2010 to 2022, utilizing Moderate Resolution Imaging Spectroradiometer (MODIS) multi-angle implementation of atmospheric correction (MAIAC) products.
Date: November 30, 2023
Creator: Liang, Lu; Daniels, Jacob; Biancardi, Micahel & Zhou, Yuye
Object Type: Article
System: The UNT Digital Library
Laser printed amorphous magnesium alloy: Microstructure, mechanical properties, and degradation behavior (open access)

Laser printed amorphous magnesium alloy: Microstructure, mechanical properties, and degradation behavior

Article describes how, amorphous magnesium alloy, especially Mg-Zn-Ca series, has been receiving continuous attention in biomedical field, because of its favorable corrosion resistance, suitable modulus and biocompatibility. In this work, laser powder bed fusing with unique characteristics of rapid solidification and layer-by-layer fashion was used to fabricate bulk Mg-Zn-Ca and Mg-Zn-Ca-Y amorphous parts.
Date: November 23, 2023
Creator: Chen, Cheng; Li, Shaoyu; Ling, Chenrong; Yang, Youwen; Gao, Chengde; Li, Yageng et al.
Object Type: Article
System: The UNT Digital Library
The Interface Strengthening of Multi-Walled Carbon Nanotubes/Polylactic Acid Composites via the In-Loop Hybrid Manufacturing Method (open access)

The Interface Strengthening of Multi-Walled Carbon Nanotubes/Polylactic Acid Composites via the In-Loop Hybrid Manufacturing Method

Article describes how in this study, a new in-loop hybrid manufacturing method is proposed for fabricating multi-walled carbon nanotube (MWCNTs)/polylactic acid (PLA) composites. Molecular dynamics simulations were conducted in conjunction with experiments to reveal the mechanism of the proposed method for improving the interfacial performance of MWCNTs/PLA.
Date: November 16, 2023
Creator: Li, Hongbin; Jiang, Zhuang; Li, Zhihua; Peng, Yubao; Zhang, Qiushuang & Xiao, Xinyi
Object Type: Article
System: The UNT Digital Library
Properties of Hyper-Elastic-Graded Triply Periodic Minimal Surfaces (open access)

Properties of Hyper-Elastic-Graded Triply Periodic Minimal Surfaces

Article describes how the mechanical behaviors of three distinct lattice structures-Diamond, Gyroid, and Schwarz-synthesized through vat polymerization were meticulously analyzed. This study aimed to elucidate the intricacies of these structures in terms of their stress-strain responses.
Date: November 21, 2023
Creator: Haney, Christopher W. & Siller Carrillo, Héctor Rafael
Object Type: Article
System: The UNT Digital Library
Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations (open access)

Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations

Article describes how the accurate and efficient determination of hydrologic connectivity has garnered significant attention from both academic and industrial sectors due to its critical implications for environment management. To address these challenges, the focus of the author's study is on detecting drainage crossings through the application of advanced convolutional neural networks.
Date: November 12, 2023
Creator: Zhang, Yicheng; Pandey, Dhroov; Wu, Di; Kundu, Turja; Li, Ruopu & Shu, Tong
Object Type: Article
System: The UNT Digital Library
An Optimized Control System for the Independent Control of the Inputs of the Doherty Power Amplifier (open access)

An Optimized Control System for the Independent Control of the Inputs of the Doherty Power Amplifier

Article describes how this study presents a systematic design of an optimized drive signal control system for 2.5 GHz Doherty power amplifiers (DPAs). In this manuscript, the authors analyzed and compared the PAE of the DPA and parallel-connected PA for diverse input signals generated using a designed optimized control system
Date: November 14, 2023
Creator: Sah, Pallav Kumar; Poulton, Matthew; Luyen, Hung & Mahbub, Ifana
Object Type: Article
System: The UNT Digital Library
Phase-Specific Damage Tolerance of a Eutectic High Entropy Alloy (open access)

Phase-Specific Damage Tolerance of a Eutectic High Entropy Alloy

Article describes how phase-specific damage tolerance was investigated for the AlCoCrFeNi2.1 high entropy alloy with a lamellar microstructure of L12 and B2 phases. Distinct differences in micro-scale deformation mechanisms were reflected in post-compression fractography, with L12-phase cantilevers showing typical characteristics of ductile failure, including the activation of multiple slip lanes, shear lips at the notch edge, and tearing inside the notch versus quasi-cleavage fracture with cleavage facets and a river pattern on the fracture surface for the B2-phase cantilevers.
Date: November 30, 2023
Creator: Jha, Shristy; Mishra, R. S. & Mukherjee, Sundeep
Object Type: Article
System: The UNT Digital Library