Results 151 to 160 of about 1,202,050 (329)
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
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Vibration Response Analysis of Metro Vehicle Converter Cabinet Based on Finite Element Method
The vibration response analysis of metro vehicle converter cabinet was carried out based on FEM software HyperMesh and Virtual.Lab. The vibration acceleration response of converter cabinet lugs was obtained by modal analysis and correction, transfer ...
XIA Liang +5 more
doaj
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
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
A series-parallel load-resonant converter for a controlled-current arc-welding power supply [PDF]
A power supply incorporating a series-parallel load-resonant converter, capable of very efficient operation over a wide range of output power is presented. The series-parallel load-resonant converter is shown to have three pairs of resonant frequencies.
Pollock, Helen Geraldine Phyllis
core
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley +1 more source
The Open-Loop Linear Quadratic Differential Game Revisited [PDF]
In this note we reconsider the indefinite open-loop Nash linear quadratic differential game with an infinite planning horizon.In particular we derive both necessary and sufficient conditions under which the game will have a unique equilibrium.linear ...
Engwerda, J.C.
core
A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung +10 more
wiley +1 more source
A new step-up quadratic DC/DC converter based on coupled-inductor. [PDF]
Hasanpour S.
europepmc +1 more source
Exploiting Group Symmetry in Semidefinite Programming Relaxations of the Quadratic Assignment Problem [PDF]
We consider semidefinite programming relaxations of the quadratic assignment problem, and show how to exploit group symmetry in the problem data. Thus we are able to compute the best known lower bounds for several instances of quadratic assignment ...
Klerk, E. de, Sotirov, R.
core

