Results 41 to 50 of about 2,346 (122)

H2 Vibrations in a Spherical Potential Well

International Journal of Quantum Chemistry, Volume 126, Issue 15, August 5, 2026.
Molecular hydrogen confined in a spherical potential well, mimicking a C20 fullerene. Characterization of internal and external vibrational modes. Three custom‐developed programs operating in cascade: Diffusion Monte Carlo, FFBP neural network, and semiclassical molecular dynamics.
G. Micca Longo, I. Armenise, G. Bonasia, S. Longo   +3 more
wiley   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, Volume 14, Issue 8, Page 3697-3725, August 2026.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Efficient Tensor Completion Algorithms for Highly Oscillatory Operators

Numerical Linear Algebra with Applications, Volume 33, Issue 4, August 2026.
ABSTRACT We address the problem of recovering highly oscillatory operators, represented as n×n$$ n\times n $$ matrices with a fixed set of observed entries. Given that these matrices can be well compressed by butterfly matrix decomposition of L=𝒪(logn) levels requiring only O(nlogn)$$ O\left(n\log n\right) $$ degrees of freedom, we propose a novel ...
Navjot Singh, Edgar Solomonik, Xiaoye Sherry Li, Yang Liu   +3 more
wiley   +1 more source

Empirical Assessment of Storm‐Time Thermospheric Density Inversion Methods From LEO POD Data

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Thermospheric mass density is one of the largest sources of operational uncertainty for spacecraft in low Earth orbit, particularly during geomagnetic storms. The growing population of Global Navigation Satellite System‐equipped satellites presents a data set of opportunity: precise orbit determination (POD) data streams can be used to ...
Charles Constant, Indigo Brownhall, Anasuya Aruliah, Marek Ziebart, Santosh Bhattarai   +4 more
wiley   +1 more source

From Resistivity to Hydraulic Properties: Calibrating a Groundwater Flow Model by Integrating Airborne Electromagnetic and Borehole Data Into a Probabilistic Multi‐Texture Framework

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Airborne electromagnetic (AEM) surveys offer rapid, cost‐effective subsurface imaging, yet converting their electrical resistivity (ER) models into physically meaningful hydraulic property fields for groundwater models remains a challenge. We develop and demonstrate a data‐driven workflow for an unconsolidated sedimentary aquifer system in ...
Leland Scantlebury, Thomas Harter
wiley   +1 more source

Demographic buffering in natural populations: A multi‐level perspective

Journal of Animal Ecology, Volume 95, Issue 8, Page 1298-1310, August 2026.
We introduce a multi‐level framework that unites stochastic elasticities with nonlinear selection to test demographic buffering. Applying it across mammals reveals a key insight: ecological robustness to variability often decouples from evolutionary constraint, reshaping how we understand resilience under environmental stochasticity.
Gabriel Silva Santos, Samuel J. L. Gascoigne, André Tavares Corrêa Dias, Maja Kajin, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

The Wells–Riley Model Revisited II: Parameter Uncertainty and Population Heterogeneity

Risk Analysis, Volume 46, Issue 8, August 2026.
ABSTRACT In this work, we revisit the Wells–Riley model, which has been widely used to estimate airborne infection risk in indoor settings. In particular, we consider a probabilistic (i.e., “stochastic”) framework of the Wells–Riley model which allows one to quantify infection risk in terms of the per‐capita probability of infection for each ...
Marcus Marshall, Alexander J. Edwards, Dominique Pinnell, Marco‐Felipe King, Catherine J. Noakes, Nazif Elaldi, Grant Lythe, Martín López‐García   +7 more
wiley   +1 more source

A Hierarchical Deep Symbolic AI Method for Closed‐Form, Interpretable Constitutive Modeling

International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.
ABSTRACT Recent advances in advanced manufacturing have enabled the development of multifunctional materials such as soft composites, whose complex nonlinear behaviors demand accurate and interpretable constitutive modeling. Traditional phenomenological formulations rely heavily on assumed functional forms and expert intuition, requiring extensive ...
Haozhe Yu, Mohammad Madadi, Pu Zhang, Lin Cheng   +3 more
wiley   +1 more source

Hardware architecture for discrete stochastic arithmetic

, 2003
L'utilisation de l'arithmétique à virgule flottante dans le calcul scientifique pose des problèmes de précision. En effet, les nombres réels n'étant pas tous représentables en virgule flottante, certains vont devoir être approchés. L'arithmétique stochastique discrète permet d'estimer et de contrôler les arrondis de calcul.
openaire   +1 more source

Dynamical strategies using Discrete Stochastic Arithmetic for approximation methods

, 2006
Let us consider the converging sequence generated by successively dividing by two the step size used in an approximation method. With an appropriate stopping criterion, we show that in the last approximation obtained, the significant bits which are not affected by round-off errors are in common with the exact result, up to one.
openaire   +1 more source