Results 141 to 150 of about 262,580 (281)

A Magnetic Resonance Fingerprinting Approach for Simultaneous T1$$ {T}_1 $$‐ and PRFS‐Based 3D MR‐Thermometry

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate a three dimensional dual echo magnetic resonance fingerprinting sequence for simultaneous proton resonance frequency shift (PRFS) and T1$$ {T}_1 $$ thermometry during microwave ablation with T1$$ {T}_1 $$ improving robustness near gas bubble induced susceptibility changes while PRFS provides high precision elsewhere ...
Moritz Gutt, Dominik Horstmann, Othmar Belker, Simon Schröer, Daniel Düx, Frank Wacker, Marcel Gutberlet, Bennet Hensen   +7 more
wiley   +1 more source

Robust Linearization and Eigenvalue Analysis of General Complex Constrained Multibody Systems

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The derivation of linearized equations and subsequent eigenvalue analysis is the basis for tasks such as frequency‐domain response analysis, control design, and stability assessment for mechanical systems. However, for general multibody systems with redundant or nonholonomic constraints, practical challenges persist in achieving numerically ...
Zhiwen Xiao, Gexue Ren
wiley   +1 more source

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex. [PDF]

Nat Neurosci
Wingert JC, Parida S, Norman-Haignere SV, David SV.   +3 more
europepmc   +1 more source

A structurally localized ensemble Kalman filtering approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih, Ibrahim Hoteit   +1 more
wiley   +1 more source

Generalized Eigenvalue Problem in Subspace-Based Excited-State Methods for Quantum Computers. [PDF]

J Chem Theory Comput
Kwao PF, Poyyapakkam Sundar S, Gupt B, Asthana A.   +3 more
europepmc   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Random subspace-based ensemble classifier for high-dimensional data Using SPARK. [PDF]

PLoS One
Bhimineni VC, Senapati R.
europepmc   +1 more source

Data‐Driven Methods for Multiple and Dual Response Optimization on Operational Data Using Stochastic PRIM

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Upon establishing multiple response optimization (MRO) or dual response optimization (DRO), response surface methodology (RSM) acts as a conventional model‐driven framework for optimizing small‐sized experimental data to derive an input condition in which a decent response is expected.
Dong‐Hyun Koo, Dong‐Hee Lee, Linhan Ouyang   +2 more
wiley   +1 more source

Flexible neural representations of abstract structural knowledge in the human entorhinal cortex. [PDF]

Elife
Mark S, Schwartenbeck P, Hahamy A, Samborska V, Baram AB, Behrens TE.   +5 more
europepmc   +1 more source