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Effect of Elevated Temperatures on Properties of Blended Cements with Clinoptilolite (open access)

Effect of Elevated Temperatures on Properties of Blended Cements with Clinoptilolite

Article investigates the effect of elevated temperature on properties of clinoptilolite blended cements. Clinoptilolite was used at 5 %, 10 %, 15 % and 20 % replacement by weight for Portland cement while sand and water quantities were kept constant in all mix designs. The mortars with 5 % or 10 % cliniptilolite substitution have compressive strength exceeding 42.5 MPa after being subjected to 400 °C and 500 °C.
Date: December 1, 2016
Creator: Beycioglu, Ahmet; Yılmaz Aruntaș, Hüseyin; Gencel, Osman; Hagg Lobland, Haley E.; Şamandar, Ayhan & Brostow, Witold, 1934-
Object Type: Article
System: The UNT Digital Library
Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure (open access)

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

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
Object Type: Text
System: The UNT Digital Library