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Carbon Capture Utilization for Biopolymer Foam Manufacture: Thermal, Mechanical and Acoustic Performance of PCL/PHBV CO2 Foams
This article uses PCL to blend into PBHV. Both unfoamed and foamed blends are examined. The results provide a pathway to multifunctional performance in foams of high performance biopolymers such as PBHV through harnessing the CO₂ miscibility of PCL.
Date:
July 31, 2021
Creator:
Oluwabunmi, Kayode E.; Zhao, Weihuan & D'Souza, Nandika Anne, 1967-
System:
The UNT Digital Library
Characterize traction–separation relation and interfacial imperfections by data-driven machine learning models
This article combines machine learning (ML), finite element analysis (FEA), and empirical experiments to develop data-driven models that characterize interfacial mechanical properties precisely. It also provides a code package containing trained ML models, allowing other researchers to establish T–S relations for different material interfaces.
Date:
July 12, 2021
Creator:
Ferdousi, Sanjida; Chen, Qiyi; Soltani, Mehrzad; Zhu, Jiadeng; Cao, Pengfei; Choi, Wonbong et al.
System:
The UNT Digital Library
Deep learning for peptide identification from metaproteomics datasets
This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.
Date:
July 8, 2021
Creator:
Feng, Shichao; Sterzenbach, Ryan & Guo, Xuan
System:
The UNT Digital Library
On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems
This article focuses on practical computing systems with heterogeneous computing resources, and designs a novel CDC approach, called batch-processing based coded computing (BPCC), which exploits the fact that every computing node can obtain some coded results before it completes the whole task. The scheme demonstrates promising performance in terms of high computational efficiency and robustness to uncertain disturbances.
Date:
July 7, 2021
Creator:
Wang, Baoqian; Xie, Junfei; Lu, Kejie; Wan, Yan & Fu, Shengli
System:
The UNT Digital Library
PhenoGeneRanker: Gene and Phenotype Prioritization Using Multiplex Heterogeneous Networks
Article
Date:
July 20, 2021
Creator:
Dursun, Cagatay; Kwitek, Anne E. & Bozdag, Serdar
System:
The UNT Digital Library