Results 91 to 100 of about 11,470 (264)

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

The Synergy of Green HRM and a Proactive Environmental Strategy in Cultivating Environmental and Financial Performance Through Green Innovation

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines how green human resource management (HRM) contributes to environmental and financial performance via green innovation. We develop and test a moderated mediation model in which green product and green process innovation act as parallel mediating mechanisms, while proactive environmental strategy moderates their effectiveness.
Ana Labella‐Fernández, Thomas Van Waeyenberg, Carlos Martínez‐Egea   +2 more
wiley   +1 more source

Carbon emission assessment of tunnel infrastructures: From construction to operation

Deep Underground Science and Engineering, EarlyView.
This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long, Wout Broere, Xuehui Zhang, Tian Xia, Richard de Nijs   +4 more
wiley   +1 more source

Refined Modeling of Heterogeneous Medium for Ground-Penetrating Radar Simulation

Remote Sensing
Ground-penetrating radar (GPR) has been widely used for subsurface detection and testing. Numerical simulations of GPR signal are commonly performed to aid the interpretation of subsurface structures and targets in complex environments.
Hai Liu, Dingwu Dai, Lilong Zou, Qin He, Xu Meng, Junhong Chen   +5 more
doaj   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Nanocubes and Cuboctahedra: Entropic Stabilization Versus Thermal Segregation in Rock Salt‐ and Spinel‐Type Multinary Oxides from Spray‐Flame Synthesis

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Spray‐flame synthesis enables highly flexible and scalable production of multinary and high‐entropy oxide nanoparticles due to high synthesis temperatures with subsequent quenching. Temperature‐dependent in situ diffraction of as‐synthesized materials clearly reveals entropy stabilization in rock salt lattices, while spinels—featuring tetrahedral and ...
Mohammed‐Ali Sheikh, Steven Angel, Sabrina Schleich, Leon Müller, Jan Ternieden, Hatem M. A. Amin, Christof Schulz, Hartmut Wiggers   +7 more
wiley   +1 more source

Machine Learning Unveils Isolated‐Surrounded Pt Motifs in High‐Entropy Alloys for Superior Low‐Temperature Ammonia Oxidation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang, Ting Tao, Kexiang Guo, Xinyu Fan, Xu Zhang, Zhen Zhou   +5 more
wiley   +1 more source

Soil water content estimation by using ground penetrating radar data full waveform inversion with grey wolf optimizer algorithm

Vadose Zone Journal
Soil water content (SWC) estimation is important for many areas including hydrology, agriculture, soil science, and environmental science. Ground penetrating radar (GPR) is a promising geophysical method for SWC estimation.
M. H. Zhang, X. Feng, M. Bano, C. Liu, Q. Liu, X. Wang   +5 more
doaj   +1 more source

Knowledge sourcing, geopolitics, and FDI: An empirical analysis on the US green and digital sectors

Global Strategy Journal, EarlyView.
Abstract Research Summary This paper examines how foreign direct investment (FDI) shapes firms' sourcing of knowledge in the digital and green domains under rising geopolitical frictions. We assemble a firm–country dyadic panel (2013–2020) linking US patent backward citations to firms' FDI, enriched with bilateral geopolitical distance and host‐country
Alberto Maria Radici
wiley   +1 more source