Results 51 to 60 of about 315,352 (293)

From Pores to Pavement: Advanced Modeling of Aluminosilicates for Scalable Carbon Capture in Concrete

open access: yesAdvanced Science, EarlyView.
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair   +4 more
wiley   +1 more source

Research on the improvement of underwater workability of cement paste by composite polymers

open access: yesCase Studies in Construction Materials
The underwater workability of cement paste is essential for the application of non-dispersive underwater materials. However, the coordination of fluidity and flocculation remains challenging. While superplasticizers can enhance the fluidity of underwater
Xuesong Han   +7 more
doaj   +1 more source

Friend, Not Foe: Lowered Tissue Reactivity to Long‐Term Polyimide Implants

open access: yesAdvanced Science, EarlyView.
The choice of optimal neural probe designs remains a major challenge in the field of neurotechnology. This study investigated the biocompatibility of several probe variations, including material, thickness, width, and implantation strategy. It highlights the clear advantage of soft polyimide probes over stiff silicon probes for better device ...
Corinne Orlemann   +11 more
wiley   +1 more source

Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay

open access: yesAin Shams Engineering Journal, 2021
One of the most important industries and building operations that cause carbon dioxide emissions is the cement and concrete-related industries that consume about 6 million Btus per metric ton and release about 1 metric ton CO2.
Ahmed Mohammed   +6 more
doaj   +1 more source

Optimizing Cementitious Content in Concrete Mixtures for Required Performance Final Report, January 2012 [PDF]

open access: yes, 2012
This research investigated the effects of changing the cementitious content required at a given water-to-cement ratio (w/c) on workability, strength, and durability of a concrete mixture.

core  

Early Spatial and Contextual Coding Deficits in Hippocampal CA1 Precede Performance Decline in an Alzheimer's Disease Model

open access: yesAdvanced Science, EarlyView.
Two‐photon calcium imaging in behaving 5xFAD mice reveals early CA1 coding deficits before behavioral decline. Task‐related place cell activity and splitter cell trajectory coding are impaired, with reduced retrospective dominance and greater prospective weighting.
Yimei Li   +8 more
wiley   +1 more source

Effect of Ultrafine Additives on the Morphology of Cement Hydration Products

open access: yesCrystals, 2021
The present research is focused on the investigation of the influence of ultrafine additives on the structure formation of hardened cement paste and the establishment of the mechanisms of the morphological transformations, which determine the properties ...
Grigory Yakovlev   +8 more
doaj   +1 more source

Assessment of cement characteristics affecting rheological properties of cement pastes

open access: yesNeural Computing and Applications, 2021
In this study, the cement-based parameters affecting CEMI portland cements-polycarboxylate ether-based high-range water-reducing (HRWR) admixtures compatibility were investigated. For this purpose, eight CEMI cements and three commercial HRWR admixtures were used.
Ali Mardani-Aghabaglou   +4 more
openaire   +4 more sources

Development of Performance Properties of Ternary Mixtures and Concrete Pavement Mixture Design and Analysis (MDA): Effect of Paste Quality on Fresh and Hardened Properties of Ternary Mixtures, TPF-5(117), 2012 [PDF]

open access: yes, 2012
The purpose of this study was to investigate the effect of cement paste quality on the concrete performance, particularly fresh properties, by changing the water-to-cementitious materials ratio (w/cm), type and dosage of supplementary cementitious ...

core  

Machine Learning Potential for Calcium Silicate Hydrates With Broad Compositional and Structural Diversity

open access: yesAdvanced Science, EarlyView.
Existing machine learning potentials remain limited in their ability to generalize across the broad chemical and structural variability of C–S–H. Here, a representative DFT‐labeled dataset is constructed through large‐scale model generation, redundancy‐controlled screening, first‐principles optimization, and targeted sampling of non‐equilibrium ...
Yunjian Li   +4 more
wiley   +1 more source

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