Results 131 to 140 of about 88,519 (199)

FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method. [PDF]

Comput Methods Appl Mech Eng
Pfaller MR, Latorre M, Schwarz EL, Gerosa FM, Szafron JM, Humphrey JD, Marsden AL.   +6 more
europepmc   +1 more source

The Group-Algebraic Formalism of Quantum Probability and Its Applications in Quantum Statistical Mechanics. [PDF]

Entropy (Basel)
Gu Y, Wang J.
europepmc   +1 more source

Computational analysis to assess hemodynamic forces in descending thoracic aortic aneurysms

The Journal of Physiology, EarlyView.
Abstract figure legend Left: Pre‐processing. First, we perform the segmentation of the Computer Tomography angiorgraphy (angio‐CT) scans of a healthy patient, obtaining the surface of a healthy thoracic aorta with a Type III aortic arch. Then, we build nine ideal configurations with Descending Thoracic Aortic Aneurysm (DTAA), varying the aortic arch ...
Francesca Duca, Daniele Bissacco, Luca Crugnola, Chiara Faitini, Maurizio Domanin, Francesco Migliavacca, Santi Trimarchi, Christian Vergara   +7 more
wiley   +1 more source

Multiscale Simulation of Nanowear-Resistant Coatings. [PDF]

Materials (Basel)
Liu X, Gao K, Chen P, Yin L, Yang J.
europepmc   +1 more source

Dollars for Drops: Abatement Cost of Water for Irrigation in the Colorado River Basin

Applied Economic Perspectives and Policy, Volume 48, Issue 1, Page 278-293, March 2026.
ABSTRACT The Colorado River is a lifeline for more than 40 million people in the western United States. However, with climate change diminishing snowpacks in the Rocky Mountains and increasing demands from agriculture and urban areas, the river's flow has become insufficient to meet all the competing needs.
Shahin Bahrami, Mani Rouhi Rad, Rodolfo M. Nayga Jr.   +2 more
wiley   +1 more source

Learning hydrocracking reaction dynamics via neural ODEs: A data‐driven, gradient‐interpretable lumped modelling framework

The Canadian Journal of Chemical Engineering, Volume 104, Issue 3, Page 1372-1386, March 2026.
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta, Lakshminarayanan Samavedham, Ajay K. Ray   +2 more
wiley   +1 more source

Exact Analytical Solutions for Static Response of Helical Single-Walled Carbon Nanotubes Using Nonlocal Euler-Bernoulli Beam Theory. [PDF]

Nanomaterials (Basel)
Dalgıç AM, Tüfekci M, Pir İ, Tüfekci E.   +3 more
europepmc   +1 more source

Recent Insights on Synthesis, Stability, and Complexities of Water‐in‐Oil Pickering Emulsion: From Theory to Applications

Food Frontiers, Volume 7, Issue 2, March 2026.
It provides a conceeptual framework of the core components required for w/o PE development and various internal and external factors determining the emulsion stabilization. It also emphasizes the emerging application of w/o PE in diverse industrial use such as encapsulation and delivery, packaging, food, biomedical, etc.
Bibha Mishra A., Vidisha Tomer
wiley   +1 more source

Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics. [PDF]

Commun Eng
He W, Li J, Kong X, Deng L.
europepmc   +1 more source

Forecasting With Machine Learning Shadow‐Rate VARs

Journal of Forecasting, Volume 45, Issue 2, Page 770-786, March 2026.
ABSTRACT Interest rates are fundamental in macroeconomic modeling. Recent studies integrate the effective lower bound (ELB) into vector autoregressions (VARs). This paper studies shadow‐rate VARs by using interest rates as a latent variable near the ELB to estimate their shadow‐rate values.
Michael Grammatikopoulos
wiley   +1 more source