Results 101 to 110 of about 3,094 (216)

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

Magnetic 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, Quentin Uhl, Tommaso Pavan, Jasmine Nguyen‐Duc, Hansol Lee, Susie Huang, Ileana Jelescu   +6 more
wiley   +1 more source

Similarity solutions of a replicator dynamics equation associated with a continuum of pure strategies

Electronic Journal of Differential Equations, 2015
We introduce a nonlinear degenerate parabolic equation containing a nonlocal term. The equation serves as a replicator dynamics model where the set of strategies is a continuum.
Vassilis G. Papanicolaou, Kyriakie Vasilakopoulou   +1 more
doaj  

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

AIChE 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, Hemalatha Kilari, Neda Nazemifard, C. Benjamin Renner, Yihui Yang, Charles Papageorgiou, Zoltan K. Nagy   +6 more
wiley   +1 more source

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

Earthquake 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, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

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

International 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, Javad Mohammadpour Velni   +1 more
wiley   +1 more source

Subgroups of the Group of Generalized Lorentz Transformations and Their Geometric Invariants

Symmetry, Integrability and Geometry: Methods and Applications, 2005
It is shown that the group of generalized Lorentz transformations serves as relativistic symmetry group of a flat Finslerian event space. Being the generalization of Minkowski space, the Finslerian event space arises from the spontaneous breaking of ...
George Bogoslovsky
doaj  

Testing the Limits of Surface QG Theory With Deep Learning

Journal 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, Dhruvit Patel, Yongqiang Sun, Pedram Hassanzadeh, Eli Tziperman, Dorian S. Abbot   +5 more
wiley   +1 more source

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

Mathematical Finance, Volume 36, Issue 4, Page 826-845, October 2026.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici, Gianluca Fusai, Anna Maria Gambaro, Daniele Marazzina   +3 more
wiley   +1 more source

Origin, Strength, and Speed of the Nonlinear Optical Response of Transparent Conducting Oxides to Single‐Cycle Optical Pulses

Nanophotonics, Volume 15, Issue 17, 11 September 2026.
A quantum‐coherent density‐matrix study reveals a predominantly cumulative thermo‐optic nonlinear response in ITO under extremely short pulses, with coherent electron dynamics leaving signatures in macroscopic polarization and permittivity. Remarkably, the permittivity dynamics are accurately reproduced by a simple thermal model. We also generalize the
Ieng‐Wai Un, Subhajit Sarkar, Yonatan Sivan    +2 more
wiley   +1 more source

Self-consistent Strong Screening Applied to Thermonuclear Reactions

The Astrophysical Journal
Self-consistent strong plasma screening around light nuclei is implemented in the Big Bang nucleosynthesis (BBN) epoch to determine the short-range screening potential, e ϕ ( r )/ T ≥ 1, relevant for thermonuclear reactions.
Christopher Grayson, Cheng Tao Yang, Martin Formanek, Johann Rafelski   +3 more
doaj   +1 more source