Results 41 to 50 of about 924,744 (308)

Performance evaluation of coal dust and wood powder ash as alternates of conventional filler in the asphalt concrete

Sustainable Engineering and Innovation, 2022
Mineral fillers provide a significant role in the Marshall properties of hot mix asphalt for paving applications. The article's goal is to assess the suitability and effectiveness of two minerals (coal dust and wood powder ash) used as fillers in asphalt
Rocksana Akter, Md. Kamal Hossain, Md. Shibly Anwar, Kalimur Rahman   +3 more
doaj   +1 more source

Evaluation of Malaysian asphaltic concrete mixture using superpave and marshall mix design method [PDF]

, 2008
Rapid development of road infrastructure in Malaysia has led to better researched of asphaltic concrete mixtures. Currently, the conventional Marshall method is widely used to design flexible pavement with bituminous surfacing as wearing course in ...
Abdul Rahman, Mohd. Yusof, Ahmad, Juraidah, Hainin, Mohd. Rosli, Hosasain, Mustaque   +3 more
core  

NUMERICAL ANALYSIS OF ASPHALT MIXTURE AND COMPARISON WITH PHYSICAL MARSHALL TEST

JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2014
This paper addresses simulation of asphalt on the macroscopic scale, using the Discrete Element Model (DEM). Asphalt mixture is considered as a particulate solid composed of relatively stiff deformable layered spherical particles embedded into a homogenised matrix. The discrete model presents a 3D network of one-dimensional elements connecting particle'
Rimša, Vytautas, Kačianauskas, Rimantas, Sivilevičius, Henrikas   +2 more
openaire   +4 more sources

Peptide‐Induced Ferroelectricity in Charge‐Transfer Supramolecular Materials

Advanced Materials, EarlyView.
Bio‐inspired supramolecular charge‐transfer amphiphiles self‐assemble into nanoribbons in water, where peptide chirality‐induced symmetry breaking generates robust ferroelectricity across multiple systems. These water‐processable organic ferroelectrics also enhance neuronal outgrowth and electrophysiological maturity, offering a versatile strategy for ...
James V. Passarelli, Yang Yang, Cara S. Smith, Jing Hao, Dhwanit R. Dave, Ashwin Narayanan, Zaida Álvarez, Broderick K. Johnson, Kelly A. Marshall, Ivan Fithian, Hiroaki Sai, Ruomeng Qiu, Charlotte L. Stern, Liam C. Palmer, Evangelos Kiskinis, Samuel I. Stupp   +15 more
wiley   +1 more source

Test of fit for Marshall–Olkin distributions with applications

Journal of Statistical Planning and Inference, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Cryogenic optical testing at the Marshall Space Flight Center

Optical Fabrication and Testing, 2000
Optical test results of several lightweight mirrors using different instruments will be presented. Several optical figure-testing techniques were used to overcome the vibration problem associated with optical testing with long optical path length.
Ron Eng, Phil Stahl, John Keidel, Jeff Kegley, Joe Geary   +4 more
openaire   +2 more sources

Beyond Earth: Resilience of Quasi‐2D Perovskite Solar Cells in Space

Advanced Materials, EarlyView.
In the article (DOI: 10.1002/adma.202520433), Christoph Putz and co‐workers demonstrate rigid quasi‐2D perovskite solar cells operating in low Earth orbit, delivering stable power for more than 100 days under real‐space conditions. In‐orbit performance is correlated with extensive ground‐based thermal and proton‐irradiation studies on rigid and ...
Christoph Putz, Lukas E. Lehner, Stepan Demchyshyn, Bekele Hailegnaw, Phillip Jahelka, Magdalena Breitwieser, Sercan Özen, Andrea Denker, Jürgen Bundesmann, Alina Hanna Dittwald, Dilara Karabulut, Philipp Tockhorn, Steve Albrecht, Felix Lang, Markus C. Scharber, Michael D. Kelzenberg, Harry A. Atwater, Martin Kaltenbrunner   +17 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Laboratory Testing Performance of Hot Mix Asphalt Containing Waste Materials

Jurnal Teknik Sipil dan Perencanaan, 2022
. Road conditions are frequently subjected to damage that outlasts the road's design life. One of these is due to the material's mechanical capability, which is insufficient to withstand traffic loads and weather conditions.
Hery Awan Susanto, Hery Awan Susanto, Bagyo Mulyono   +2 more
doaj   +1 more source