Results 121 to 130 of about 1,442,979 (244)
Lumped modeling of bubbling fluidized beds for high‐temperature processes
AIChE Journal, EarlyView.Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh +3 more
wiley +1 more source
Audible Noise Measurement and Analysis of the Main Power Apparatus in UHV GIS Substations
MATEC Web of Conferences, 2016 Investigation of audible noise characteristics of the main power apparatus in UHV GIS substations provides essential statistics for the noise prediction and control.
Zhou Nian Guang +3 more
doaj +1 more source
AIChE Journal, EarlyView.Abstract Thermophilic anaerobic digestion (AD) is an attractive process due to its higher biogas yield compared to mesophilic digestion. To mitigate its higher heating demand and potential process instability, a dual‐layer control architecture comprising a decision‐making layer and an adaptive model predictive control (MPC) system is proposed.
Ali Moradvandi +3 more
wiley +1 more source
Study on Noise Prediction Model and Control Schemes for Substation
The Scientific World Journal, 2014 With the government’s emphasis on environmental issues of power transmission and transformation project, noise pollution has become a prominent problem now. The noise from the working transformer, reactor, and other electrical equipment in the substation
Chuanmin Chen, Yang Gao, Songtao Liu
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +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
Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing
Advanced Intelligent Systems, EarlyView.Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev +9 more
wiley +1 more source
The Power Noise Transfer Function of a Reactor
Nuclear Science and Engineering, 1959 A formalism is developed to calculate the power noise transfer function for any kinetic model under the assumption that noise may originate in any or all loops of the system.
openaire +3 more sources
Atomic Energy Commission Report IDO-12109
, 1961 Provides an overview of activities at the National Reactor Testing Station during ...
National Reactor Testing Station, Idaho (U.S.)
core