Results 91 to 100 of about 94,222 (207)

Explicit‐Implicit Material Point Method for Dense Granular Flows With a Novel Regularized µ(I) Model

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT The material point method (MPM) is widely employed to simulate granular flows. Although explicit time integration is favored in most current MPM implementations for its simplicity, it cannot rigorously incorporate the incompressible µ(I)‐rheology, an efficient model ubiquitously adopted in other particle‐based numerical methods. While operator‐
Hang Feng, Zhen‐Yu Yin
wiley   +1 more source

Subspace projection filters for imaging in random media [PDF]

, 2010
Bleistein, Borcea, Borcea, Borcea, Borcea, Borcea, Borcea, Borcea, Borcea, Borcea, Born, Bécache, Carin, Christakos, Chrysoula Tsogka, Claerbout, Derode, Fink, Fink, Fink, Fink, George Papanicolaou, Landau, Langenberg, Liliana Borcea, Marklein, Papanicolaou, Prada, Ryzhik, Slepian, van Rossum   +30 more
core   +2 more sources

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

Electronic Correlation Effects in the Response of Graphene and MoS2 Monolayers to the Impact of Highly‐Charged Ions

physica status solidi (b), EarlyView.
The response of graphene and MoS2 monolayers to highly‐charged impinging ions is investigated using nonequilibrium Green functions theory. Electronic correlations are found to have a significantly stronger influence on the ultrafast ion‐induced electron dynamics in MoS2 than in graphene.
Giorgio Lovato, Michael Bonitz, Karsten Balzer, Fabio Caruso, Jan‐Philip Joost   +4 more
wiley   +1 more source

Vulnerability of short-term memory in a mouse model of Alzheimer's disease. [PDF]

Nat Commun
Li C, Chia XW, Xu G, Ang LF, Makino H.
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

Inferring latent behavioral strategy from the representational geometry of prefrontal cortex activity. [PDF]

Nat Commun
Qian Y, Herikstad R, Libedinsky C.
europepmc   +1 more source

Quantum Resonator as a Directional Quantum Emitter

Advanced Quantum Technologies, EarlyView.
A single‐photon source based on a two‐photon Jaynes–Cummings system features a resonator acting as the quantum emitter rather than the two‐level system. In this configuration, enhanced efficiency, purity, and indistinguishability are achieved, while robustness against dephasing, reduced energy dissipation, and broader implementation prospects for ...
Luiz O. R. Solak, Bruno L. Vermes, Antonio S. M. de Castro, Celso J. Villas‐Boas, Daniel Z. Rossatto   +4 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

An electroencephalography sleep staging model based on bidirectional Mamba combining synergistic attention with interactive convolution

Sleep Research, EarlyView.
Abstract Background This study presents SIMSleepSM, a novel single‐channel electroencephalography (EEG) sleep staging model. It addresses two primary challenges: insufficient modeling of long‐range temporal dependencies combined with limited multi‐scale feature extraction, and poor accuracy in identifying the N1 stage.
Ya‐mei Xu, Ding‐Yuan An
wiley   +1 more source