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Applications of carbon-based diamond detectors: A critical review
Diamond has emerged as the desirable semiconducting material in radiation detectors
owing to its extremely wide band gap that favors certain outstanding properties. Such …
owing to its extremely wide band gap that favors certain outstanding properties. Such …
Applications of laser-induced breakdown spectroscopy in corrosion detection in reinforced concrete materials: a critical review
Laser-induced breakdown spectroscopy (LIBS) is a powerful elemental detection and
quantification technique widely employed across various disciplines, including science …
quantification technique widely employed across various disciplines, including science …
Intelligent optimization for modeling carbon dioxide footprint in fly ash geopolymer concrete: A novel approach for minimizing CO2 emissions
In the global effort to mitigate climate change and reduce CO 2 emissions, this study
introduces an innovative, pioneering approach that combines artificial intelligence and …
introduces an innovative, pioneering approach that combines artificial intelligence and …
[HTML][HTML] Ensemble learning-based investigation of thermal conductivity of Bi2Te2. 7Se0. 3-based thermoelectric clean energy materials
YS Wudil - Results in Engineering, 2023 - Elsevier
Bi 2 Te 3-based materials are remarkable semiconducting compounds widely employed for
clean energy harvesting via thermoelectric effects. Their energy conversion efficiency is …
clean energy harvesting via thermoelectric effects. Their energy conversion efficiency is …
Integrating laser-induced breakdown spectroscopy and non-linear random forest-based algorithms to predict soil unconfined compressive strength
Laser-induced breakdown spectroscopy (LIBS) is a powerful technique for elemental
detection across various domains, including engineering, science, and medicine …
detection across various domains, including engineering, science, and medicine …
Effective carbon footprint assessment strategy in fly ash geopolymer concrete based on adaptive boosting learning techniques
In light of the growing need to mitigate climate change impacts, this study presents an
innovative methodology combining ensemble machine learning with experimental data to …
innovative methodology combining ensemble machine learning with experimental data to …
[HTML][HTML] Investigating chloride-induced corrosion in reinforced concrete structures using laser-induced breakdown spectroscopy
Reinforced concrete structures face significant annual expenditures in combating rebar
corrosion, with chloride penetration identified as a major contributor. This study employs …
corrosion, with chloride penetration identified as a major contributor. This study employs …
Laser-induced breakdown spectroscopy-based assessment of unconfined compressive strength of normal and chemically stabilized soils
Laser-induced breakdown spectroscopy is a remarkable elemental detection and
quantification technique employed in various sectors such as science, engineering …
quantification technique employed in various sectors such as science, engineering …
High-Throughput Screening of 6858 Compounds for Zinc-Ion Battery Cathodes via Hybrid Machine Learning Optimization
This work presents a machine-learning framework to explore cathode materials for zinc-ion
batteries from a data set of 6858 zinc-containing compounds. Utilizing the extensive …
batteries from a data set of 6858 zinc-containing compounds. Utilizing the extensive …
Machine Learning for Next Generation Thermoelectrics
Thermoelectricity offers a ground-breaking solution for capturing waste heat and
transforming it into valuable electricity. Despite its promise, the quest for high-performance …
transforming it into valuable electricity. Despite its promise, the quest for high-performance …