Results 101 to 110 of about 25,437 (265)

Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS. [PDF]

PLoS One, 2021
Tran VQ, Mai HT, Nguyen TA, Ly HB.
europepmc   +1 more source

Evaluation of Governance, Environmental, Socioeconomic, and Financial Dimensions Through an Integrated Multicriteria Decision‐Making Approach

Business Strategy and the Environment, EarlyView.
ABSTRACT Sustainable governance depends on the joint functioning of institutional quality, fiscal discipline, environmental performance, and socioeconomic inclusion. However, many composite indicators rely on subjective weighting schemes and leave the structural role of governance underspecified.
Ömer Faruk Rençber, Eda Zorkirişçi, Abdulkadir Aksoy, Zehra Çelik   +3 more
wiley   +1 more source

Predicting the Compressive Strength of Concrete Containing Binary Supplementary Cementitious Material Using Machine Learning Approach. [PDF]

Materials (Basel), 2022
Moradi N, Tavana MH, Habibi MR, Amiri M, Moradi MJ, Farhangi V.   +5 more
europepmc   +1 more source

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

Carbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal, Avinash C. Mendhe, Mayna Roy, Neha S. Barse, Taejoon Park, Han‐Seung Lee, Haigun Lee   +6 more
wiley   +1 more source

Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model. [PDF]

Materials (Basel), 2022
Khan K, Salami BA, Jamal A, Amin MN, Usman M, Al-Faiad MA, Abu-Arab AM, Iqbal M.   +7 more
europepmc   +1 more source

Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells

Carbon Energy, EarlyView.
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood, Yuanyuan Qin, Abdul Sattar, Rabeea Eman, Faheem Abbas, Shan Wu, Yipeng Xu, Xu Zheng, Jiangying Lu, Wei Jiang, Jiankai Liu, Shudi Lu, Shizhong Yue, Zhijie Wang, Kong Liu, Xiaopeng Zheng, Shengchun Qu   +16 more
wiley   +1 more source

Combating ESG Greenwashing Through AI Models: Evidence From Disaggregated AI Technologies, Mechanisms, and Thresholds

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines how artificial intelligence language models influence corporate environmental, social, and governance greenwashing (GWESG$$ {\mathrm{GW}}_{\mathrm{ESG}} $$) behavior, utilizing panel data from Chinese listed firms spanning 2012–2022.
Brahim Bergougui, Hamid Ghazi H. Sulimany, Abdulrahman Atllah Alharbi   +2 more
wiley   +1 more source

Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature. [PDF]

Materials (Basel), 2021
Ahmad A, Ostrowski KA, Maślak M, Farooq F, Mehmood I, Nafees A.   +5 more
europepmc   +1 more source

Convergence Clubs in Corporate Sustainability: Identifying Industry and Risk‐Level ESG Convergence Patterns in S&P 500 Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Despite the growing emphasis on corporate sustainability, it remains unclear whether firms will align with common ESG standards. The Phillips–Sul convergence methodology, in combination with dynamic time‐warping clustering, was utilized to analyze the ESG trajectories of 430 S&P 500 firms from 2019 to 2024.
Abdullah Kürşat Merter, Yavuz Selim Balcıoğlu   +1 more
wiley   +1 more source

Comparative study on calculation methods for compressive strength of low strength aggregate concrete

AIP Advances
The compressive strength of concrete with low strength aggregate volume fractions of 10%, 20%, and 30% was calculated using both the graphical analysis method and mesomechanics method.
Xiaohui Wang, Jie Zhang, Wei Liu, Xingzheng Wu, Huiyun Li, Yujie Yan   +5 more
doaj   +1 more source