Effect of carbonation curing on the characterization and properties of steel slag-based cementitious materials

X Liu, X Liu, Z Zhang, X Ai - Cement and Concrete Composites, 2024 - Elsevier
Steel slag (SS)-based cementitious materials usually exhibit poor bulk stability, poor early
activity and low mechanical strength, which greatly limits the consumption of SS in …

[HTML][HTML] The Utilization of Carbonated Steel Slag as a Supplementary Cementitious Material in Cement

X Liu, P Wu, X Liu, Z Zhang, X Ai - Materials, 2024 - mdpi.com
Carbon emission reduction and steel slag (SS) treatment are challenges in the steel
industry. The accelerated carbonation of SS and carbonated steel slag (CSS) as a …

Assessment of global antibiotic exposure risk for crops: incorporating soil adsorption via machine learning

H Zhu, J He, Y Wu, L Tong, W Zhang… - … Science & Technology, 2024 - ACS Publications
The overuse and misuse of antibiotics could significantly increase their accumulation in
soils. Consequently, antibiotics possibly enter food chain through crop uptake, posing a …

Annual progress in global carbon capture, utilization, and storage in 2023

S Fang, YH Hu - Energy Science & Engineering, 2024 - Wiley Online Library
Since the industrial revolution, global anthropogenic CO2 emissions have surged
dramatically to unsustainable levels, resulting in severe issues, such as global warming …

Sustainable management strategy for phosphorus in large-scale watersheds based on the coupling model of substance flow analysis and machine learning

W Liu, T Qin, Y Chen, J Yin, Z Li, H Wang… - Resources …, 2024 - Elsevier
Clarifying the quantitative response relationship between socio-economic factors and water
quality is key to developing a sustainable phosphorus (P) management strategy. we …

Tree-structured parzen estimator optimized-automated machine learning assisted by meta–analysis for predicting biochar–driven N2O mitigation effect in constructed …

BN Jiang, YY Zhang, ZY Zhang, YL Yang… - Journal of Environmental …, 2024 - Elsevier
Biochar is a carbon-neutral tool for combating climate change. Artificial intelligence
applications to estimate the biochar mitigation effect on greenhouse gases (GHGs) can …

New Strategies for constructing and analyzing semiconductor photosynthetic biohybrid systems based on ensemble Machine learning Models: Visualizing complex …

N Hou, Y Tong, M Zhou, X Li, X Sun, D Li - Bioresource Technology, 2024 - Elsevier
Photosynthetic biohybrid systems (PBSs) composed of semiconductor-microbial hybrids
provide a novel approach for converting light into chemical energy. However …

Sulfate-activated mineral carbonation of olivine minerals with mechanisms explained by shrinking core models and by machine learning algorithm

KA Ofori, W Hanson, K Huang, L Pan - Minerals Engineering, 2024 - Elsevier
Direct aqueous mineral carbonation of olivine minerals has been extensively investigated in
the past. However, the effect of inorganic electrolytes, particularly sodium sulfate (Na 2 SO …

Neural network predictive models for alkali-activated concrete carbon emission using metaheuristic optimization algorithms

Y Aydın, C Cakiroglu, G Bekdaş, Ü Işıkdağ, S Kim… - Sustainability, 2023 - mdpi.com
Due to environmental impacts and the need for energy efficiency, the cement industry aims
to make more durable and sustainable materials with less energy requirements without …

Assessing urban carbon health in China's three largest urban agglomerations: Carbon emissions, energy-carbon emission efficiency and carbon sinks

A Cai, R Guo, Y Zhang, L Wang, R Lin, H Wu, R Huang… - Applied Energy, 2025 - Elsevier
Energy consumption is the most important source of carbon emissions in China. Research
on carbon emissions is of great significance for energy transition and regional sustainable …