Important Contributions to Reducing Nitrogen Oxide Emissions from Internal Combustion Engines. [PDF]
Int J Environ Res Public Health, 2021 Buruiana DL +3 more
europepmc +1 more source
U.S. Agriculture, Biofuel Markets, and Trade: Challenges and Opportunities
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Using an enhanced Computable General Equilibrium (CGE) model (GTAP‐BIO), this study assesses how the expansion in demand for Electric Vehicles (EVs) and the reduction in exports of agricultural products induced by trade disputes negatively affect US agriculture.
Rayan Wolf, Farzad Taheripour
wiley +1 more source
Neural Network Modeling and Dynamic Analysis of Different Types of Engine Mounts for Internal Combustion Engines. [PDF]
Sensors (Basel), 2022 Ferreira J +7 more
europepmc +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
AIChE Journal, EarlyView.Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
Noninvasive Methods for Fault Detection and Isolation in Internal Combustion Engines Based on Chaos Analysis. [PDF]
Sensors (Basel), 2021 Lima TLV +6 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
EnergiesOptimizing the energy structure to effectively enhance the integration level of renewable energy is an important pathway for achieving dual carbon goals.
Hui Wang +7 more
doaj +1 more source
Experimental Research of Fibrous Materials for Two-Stage Filtration of the Intake Air of Internal Combustion Engines. [PDF]
Materials (Basel), 2021 Dziubak T +4 more
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
EnergiesAmmonia (NH3) is a promising carbon-free fuel for internal combustion engines, but its low reactivity and poor ignition properties present significant challenges for stable operation.
Annalena Braun +6 more
doaj +1 more source