Results 151 to 160 of about 59,068,638 (241)

Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2278-2291, November 2026.
ABSTRACT Purpose Biophysical models of diffusion tailored to characterize gray matter (GM) microstructure are gaining traction in the neuroimaging community. NEXI, SMEX, SANDI, and SANDIX represent recent efforts to account for different microstructural features, such as soma contributions and inter‐compartment exchange, in the diffusion MRI (dMRI ...
Santiago Mezzano   +6 more
wiley   +1 more source

Population balance modeling and digital design of degree of agglomeration in industrial crystallization

open access: yesAIChE Journal, Volume 72, Issue 10, October 2026.
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang   +6 more
wiley   +1 more source

Interaction-limited conductivity of twisted bilayer graphene revealed by giant terahertz photoresistance. [PDF]

open access: yesNat Commun
Shilov AL   +21 more
europepmc   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 12, Page 3115-3136, 10 October 2026.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen   +1 more
wiley   +1 more source

Disentangling high harmonic generation from surface and bulk states of a topological insulator. [PDF]

open access: yesNat Commun
Li S   +11 more
europepmc   +1 more source

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 15, Page 7193-7213, October 2026.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani   +1 more
wiley   +1 more source

Field manipulation of Weyl modes in an ideal Dirac semimetal. [PDF]

open access: yesNat Commun
Zhong J   +11 more
europepmc   +1 more source

Testing the Limits of Surface QG Theory With Deep Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Surface Quasi‐Geostrophic (SQG) theory provides a closed‐form mapping from surface buoyancy to interior stream function under the assumption that interior potential vorticity (PV) vanishes (Q=0) $(Q=0)$. In realistic flows, however, the interior PV is typically nonzero.
Wenyu Shan   +5 more
wiley   +1 more source

Coexisting kagome and heavy fermion flat bands in YbCr<sub>6</sub>Ge<sub>6</sub>. [PDF]

open access: yesNat Commun
Lee H   +18 more
europepmc   +1 more source

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