Results 101 to 110 of about 5,603,988 (271)
EnergiesGreenhouse gas emissions, including CO2 emissions, are an issue in the energy sector that must be addressed urgently. The energy sector, including electricity, has been given a global aim of net zero emissions (NZE). This article examines three scenarios
Mujammil Asdhiyoga Rahmanta +6 more
doaj +1 more source
AIChE Journal, EarlyView.ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +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
AIChE Journal, EarlyView.Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu +5 more
wiley +1 more source
Глобальная ядерная безопасностьThe article discusses the technical and economic analysis of a seawater desalination plant, where the power source is a hybrid of solar and nuclear energy, as they are considered the cleanest energy sources compared to fossil fuel power plants.
M. M. Saleh +4 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Analysis of small modular reactors
Thermal ScienceNuclear energy is currently the only technology that has potential to expand at a large scale and efficiently replace fossil-burning power plants. However, for this to happen particularly in the countries with undeveloped nuclear infrastructure, several important issues need to be addressed: financial, technological, and regulatory risks; nuclear ...
openaire +1 more source
Small Modular Reactors: An Innovative Proposal for Brazil’s Energy Transition
Brazilian Journal of Radiation SciencesSmall Modular Reactors (SMRs) represent a promising technological innovation for energy transition, offering enhanced safety, operational flexibility, and modularity.
André Luiz Rodrigues Osório +5 more
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Nuclear Engineering and TechnologyThe modular high temperature gas-cooled reactor (mHTGR) adopts helium as coolant, graphite as moderator and structural material, and TRISO particle-based fuel elements.
Di Jiang +4 more
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