Results 91 to 100 of about 14,496,760 (259)

Molecular Properties from Quantum Krylov Subspace Diagonalization. [PDF]

open access: yesJournal of Chemical Theory and Computation
Quantum Krylov subspace diagonalization is a prominent candidate for early fault-tolerant quantum simulation of many-body and molecular systems, but so far, the focus has been mainly on computing ground-state energies.
O. Oumarou   +5 more
semanticscholar   +1 more source

Quantum Spectral Clustering Framework via Compact Circuit Structures

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 10, October 2026.
Can a quantum computer cluster data without ever reading the full kernel? This work shows that compact, parameterized circuits estimate the Laplacian quadratic forms directly and perform clustering, without explicitly constructing the full quantum fidelity‐kernel matrix.
Hyeong‐gyu Kim   +2 more
wiley   +1 more source

Seismic Imaging of the Crust From Long‐Offset Ocean‐Bottom Seismometer Data Using Time‐Domain Extended‐Source Full‐Waveform Inversion: Application to the Eastern Nankai Trough, Japan

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 10, October 2026.
Abstract High‐resolution crustal‐scale seismic imaging from long‐offset ocean‐bottom seismometer (OBS) data using full‐waveform inversion (FWI) remains challenging because the large number of propagated wavelengths and waveform complexity make the inversion highly sensitive to time‐shift errors (cycle skipping). To mitigate this nonlinearity, we assess
Gaoshan Guo   +2 more
wiley   +1 more source

Krylov Implicit Integration Factor Methods for Semilinear Fourth-Order Equations

open access: yesMathematics, 2017
Implicit integration factor (IIF) methods were developed for solving time-dependent stiff partial differential equations (PDEs) in literature. In [Jiang and Zhang, Journal of Computational Physics, 253 (2013) 368–388], IIF methods are designed to ...
Michael Machen, Yong-Tao Zhang
doaj   +1 more source

A note on augmented unprojected Krylov subspace methods

open access: yesETNA - Electronic Transactions on Numerical Analysis, 2022
14 pages, 4 ...
openaire   +4 more sources

Technology Computer‐Aided Design for Power Semiconductor Device Simulation: Physical Models, Numerical Methods and Software Platforms

open access: yesHigh Voltage, Volume 11, Issue 5, Page 1501-1523, October 2026.
ABSTRACT Modern high‐voltage power systems increasingly rely on power semiconductor devices for energy conversion, control and transmission. Device design, optimisation and failure analysis require knowledge of the internal distributions of electric field, carrier density and temperature, which are difficult to obtain directly from terminal electrical ...
Qingyuan Shi, Chijie Zhuang, Rong Zeng
wiley   +1 more source

A Time-Segmented SAI-Krylov Subspace Approach for Large-Scale Transient Electromagnetic Forward Modeling

open access: yesApplied Sciences
After nearly two decades of development, transient electromagnetic (TEM) 3D forward modeling technology has significantly improved both numerical precision and computational efficiency, primarily through advancements in mesh generation and the ...
Ya’nan Fan   +3 more
doaj   +1 more source

Multiphysics Simulation of Positive Streamer Discharge in Air Using Finite Element Method

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 18, 30 September 2026.
ABSTRACT Streamer discharge modeling by means of the Finite Element Method (FEM) presents a formidable challenge in computational physics due to its nonlinear and convection‐dominated characteristics that cause numerical instabilities, including negative densities of charged particles.
Hasupama Jayasinghe   +3 more
wiley   +1 more source

THE COMPARISON OF PRECONDITIONED SYSTEFOR KRYLOV SUBSPACE METHODSM [PDF]

open access: yes, 2016
The problem of large-scale systems of linear equations, we describe the comparison of preconditioned system for Krylov subspace methods. We used the preconditioned system in Krylov subspace methods, and we compared various preconditioned ...
宮野 駿
core  

Basic principles and aims of model order reduction in compliant mechanisms [PDF]

open access: yesMechanical Sciences, 2011
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechanisms due to computational costs. Model order reduction is an established method in many technical fields for the approximation of large-scale linear time ...
M. Rösner, R. Lammering
doaj   +1 more source

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