Results 161 to 170 of about 82,540 (233)

Organizational Sensemaking Theory Perspective of Developing AI‐Driven Strategies for Sustainability Initiatives

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Although artificial intelligence (AI) is increasingly being touted to assist organizations, AI integration for sustainability efforts has been limited AND sporadic and tends to follow an ad hoc strategy. The existing literature therein focuses on the technological capabilities of AI, overlooking how organizations make sense of and ...
Amanda Balasooriya, Darshana Sedera
wiley   +1 more source

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

open access: yesCarbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su   +11 more
wiley   +1 more source

Volcanism-induced collapse and recovery of the Atlantic meridional overturning circulation under glacial conditions. [PDF]

open access: yesSci Adv
Vettoretti G   +10 more
europepmc   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza   +3 more
wiley   +1 more source

Can ISO/IEC 17025 serve as a tool to prevent scientific fraud in chemical research laboratories?

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Scientific fraud has been documented across multiple disciplines, and chemistry is no exception. Recent studies indicate that contamination of materials, methodological errors, and unreliable data, results, or analyses account for over 25% of retracted publications.
Flor Monica Gutierrez‐Alcantara
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy