Results 121 to 130 of about 133,577 (291)

Analysis of the Influence of Waste Seashell as Modified Materials on Asphalt Pavement Performance. [PDF]

Materials (Basel), 2022
Fan G, Liu H, Liu C, Xue Y, Ju Z, Ding S, Zhang Y, Li Y.   +7 more
europepmc   +1 more source

Optimizing In-Place Density of Asphalt Pavements During Cold Weather Paving in Nebraska [PDF]

, 2019
Late season paving is common and often performed in colder temperatures, which is the most challenging environment for attaining optimal in-place density/compaction The in-place density of asphalt pavement greatly affects the lifespan of the pavement. It
Haghshenas, Hamzeh, Rea, Robert C.
core   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

Research on Pavement Performance of Cement-Stabilized Municipal Solid Waste Incineration Bottom Ash Base. [PDF]

Materials (Basel), 2022
Shi C, Li J, Sun S, Han H.
europepmc   +1 more source

A Bio-Wicking System to Prevent Frost Heave in Alaskan Pavements: Phase II Implementation [PDF]

, 2019
Water within pavement layers is the major cause of pavement deterioration. High water content results in significant reduction in soil’s resilient behavior and an increase in permanent deformation.
Galinmoghadan, Javad, Lin, Chang, Zhang, Xiong   +2 more
core  

Early Detection of Near-Surface Void Defects in Concrete Pavement Using Drone Based Thermography and GPR Methods [PDF]

, 2020
The goal of this research is to evaluate the feasibility and the performance of using UAV-mounted infrared thermography (IRT) and ground penetration radar (GPR) to detect sub-surface voids caused by consolidation issues in concrete pavement.
Cheng, Chngsheng, Erdogmus, Ece, Kodsy, Antony Mohsen Kamal Masoud, McCabe, Theresa, Morcous, George, Shang, Zhexiong, Shen, Zhigang   +6 more
core   +1 more source

MnI‐Functionalized Covalent Organic Framework as Efficient Electrocatalyst for CO2 Reduction in a Catholyte‐Free Zero‐Gap Electrolyzer

Advanced Functional Materials, EarlyView.
This work demonstrates the successful integration of a phenanthroline‐based 2D COF with MnI catalytic sites into a catholyte‐free membrane‐electrode‐assembly cell for CO2 electroreduction. The crystalline COF actively suppresses Mn⁰–Mn⁰ dimerization, achieving a turnover frequency of 617 h⁻¹ at 2.8 V (full‐cell potential), and enabling stable operation.
Laura Spies, Marcos Eduardo G. Carmo, Gonçalves J. Marrenjo, Stephan Reuther, Patrick Ganswindt, Antonio Otavio T. Patrocinio, Thomas Bein, Osmando F. Lopes, Jenny Schneider   +8 more
wiley   +1 more source

Performance analysis of graphene modified asphalt and pavement performance of SMA mixture. [PDF]

PLoS One, 2022
Yong P, Tang J, Zhou F, Guo R, Yan J, Yang T.   +5 more
europepmc   +1 more source

Characterization of Alaskan Hot-Mix Asphalt containing Reclaimed Asphalt Pavement Material [PDF]

, 2016
In order to properly characterize Alaskan HMA materials containing RAP, this study evaluated properties of 3 asphalt binders typically used in Alaska, PG 52-28, PG 52-40, and PG 58-34, and 11 HMA mixtures containing up to 35% RAP that were either ...
Li, Lin, Liu, Jenny, Zhao, Sheng
core  

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source