Results 161 to 170 of about 2,735,316 (329)

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

Pareto meets Olson: A note on Pareto-optimality and group size in linear public goods games [PDF]

In this paper I examine the relationship between Pareto-optimality and group size in linear public goods games or experiments. In particular, I use the standard setting of homogeneous linear public goods experiments and apply a recently developed tool to
Pickhardt, Michael
core  

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

The Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger, Sálvio Lima de Carvalho Neto, Silvio Edegar Weschenfelder, Glaucia Rodrigues Vieira de Almeida da Fonseca, Maria de Fátima Rodrigues da Cunha, Selene Maria Arruda Guelli Ulson de Souza, Evandro Balestrin, Adriano da Silva   +7 more
wiley   +1 more source

The ESG Readiness Index Based on Lewin's Field Theory: The Case of the Czech Industrial Sector

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The Corporate Sustainability Reporting Directive (CSRD) imposes comprehensive ESG data requirements, yet the literature predominantly evaluates ex‐post reporting quality rather than ex‐ante organizational readiness. Drawing on Kurt Lewin's Field Theory, this study develops and pilot‐tests an expert‐weighted ESG Readiness Index (ESGRI ...
Vojtěch Hlinák, Barbora Stieberová, Jaroslava Blažková, Miroslav Žilka, Theodor Beran, Jan Lhota   +5 more
wiley   +1 more source

Dynamic Reconstruction of Atomically Dispersed Copper Catalysts for CO2 Reduction: From In Situ Observations to Rational Design

EcoEnergy, EarlyView.
Dynamic reconstruction transforms atomically dispersed Cu catalysts into authentic working‐state active phases during CO2 electroreduction. By integrating operando characterization, multiscale simulations, and AI‐assisted predictive modeling, this review establishes a framework for understanding, predicting, and rationally engineering catalyst ...
Jin Liu, Yue‐Wen Fang
wiley   +1 more source

A Comprehensive Review of Fault‐Current Limiter Technologies for Smart and Resilient Power Systems

Energy Science &Engineering, EarlyView.
This review compares superconducting, solid‐state, and hybrid fault‐current limiters (FCLs) for modern alternating current, direct current, and hybrid grids. It shows that optimal FCL selection depends on fault characteristics, network configuration, voltage level, protection coordination, and resilience requirements rather than on a universally ...
Abdelrahman Farghly, Eslam Essam, Hilmy Awad, Samia Abdelfatah, Walid Issa, Abdallah M. Hamada   +5 more
wiley   +1 more source

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork

Pareto Front Learning (PFL) has been one of the effective means to resolve multi-objective optimization problems through exploring all optimal solutions to learn the entire Pareto front.
Peng, Hao, Wo, Tianyu, Wang, Hui, Yang, Renyu, Mou, Xudong, Sun, Jie, Liu, Xudong   +6 more
core   +1 more source

Multi‐Objective Spatial Optimization of Cropland Layouts in Highly Urbanized Regions: Evidence From Dongguan, China

Land Degradation &Development, EarlyView.
ABSTRACT Cropland protection in highly urbanized regions requires reconciling stable quantitative‐qualitative targets with the functional optimization of extremely fragmented spatial structures. This study develops a patch‐level multi‐objective spatial reconfiguration framework of cropland layouts based on the Non‐dominated Sorting Genetic Algorithm‐II
Zhibang Luo, Bowen Zhang, Dianfeng Liu
wiley   +1 more source

Knowledge‐Constrained Multi‐Objective Reinforcement Learning for Simultaneous Optimization of Printability and Mechanical Properties in Additively Manufactured Superalloys

Materials Genome Engineering Advances, EarlyView.
A knowledge‐constrained multi‐objective reinforcement learning (MORL) framework is proposed, embedding cracking susceptibility as a hard constraint to simultaneously optimize printability and mechanical properties of additively manufactured superalloys.
Pei Liu, Xueting Ren, Shibo Wei, Shuai Guan, Guohao Liu, Teng An, Haiyou Huang, Zhongnan Bi   +7 more
wiley   +1 more source

Exact Methods for the Cumulative Capacitated Vehicle Routing Problem With Time Windows

Networks, EarlyView.
ABSTRACT This article studies the cumulative capacitated vehicle routing problem with time windows (CCVRPTW). The CCVRPTW consists of deciding the routing schedules for a set of homogeneous capacitated vehicles such that the latency, that is, the sum of the service start times at the customers, is minimized and the time windows as well as the vehicle ...
Alan Osorio‐Mora, Timo Gschwind
wiley   +1 more source