Results 71 to 80 of about 5,296,010 (239)
The Effect of Temperature on the Properties of Fresh Self-Compacting Concrete
The rheological properties of self-compacting concrete are closely influenced by temperature and the time. Previous studies which aim was to research the effect of temperature on self-compacting concrete workability, showed that the behaviour of fresh ...
Cygan G., Gołaszewski J., Drewniok M.
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Structural performance of self-compacting concrete
To date, the majority of research studies conducted on the self-compacting concrete (SCC), also known as self-consolidating concrete, has concentrated on its rheological properties with non-evident reference to its actual applications in structural ...
Moravvej , Mohammad +1 more
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
Heavyweight concrete is used for shielding in structures requiring protection against radiation. The addition of superplasticizers to mixes yields workable, high density materials with low water/cement ratios. This paper discusses the results of adding a
D. Revuelta, A. Barona, D. Navarro
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The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Shear Behavior of Self Compacting Concrete
Twelve self compacting concrete (SCC) beams were cast to investigate the shear behavior under two concentrated load. All beams have a constant longitudinal steel ratio of (0.02065) and constant gross section area of (17000)mm2.
Ali F. Atshan
doaj
LSPR biosensing enables rapid, sensitive, and low‐sample‐volume detection of biomarkers, with broad applications in diagnosing cancer, infectious, and chronic diseases. Advances in nanostructure design, micro/nanofabrication, and microfluidic integration have expanded the potential of LSPR sensors in biomedical diagnostics.
Zhaoxin Geng +4 more
wiley +1 more source
Comparison of Fresh and Hardened Properties of Normal, Self Compacting and Smart Dynamic Concrete
This work investigates the fresh, mechanical and durability properties of normal, Self-Compacting Concrete (SCC) and Smart Dynamic Concrete (SDC), which are a new generation of concrete with a lower amount of cementitious content. SDC is a low-fine, self-
Arun Kumar, Raguraam S
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