Results 21 to 30 of about 5,561 (134)
A mean curvature estimate for cylindrically bounded submanifolds
, 2011 We extend the estimate obtained in [1] for the mean curvature of a cylindrically bounded proper submanifold in a product manifold with an Euclidean space as one factor to a general product ambient space endowed with a warped product ...
Alias, Luis J., Dajczer, Marcos
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Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source
Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
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Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Iterative solvers are advantageous for handling nonlinear structural analysis problems. The iterative solvers often require updating the stiffness matrix, which limits their application in static and pseudo‐dynamic hybrid simulations because: (1) updating the stiffness matrix of a system involving a physical specimen is challenging; (2 ...
Junyan Xiao, Oh‐Sung Kwon, Evan Bentz
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On the diastatic entropy and C^1-rigidity of complex hyperbolic manifolds
, 2019 Let f:(Y,g)->(X,g_0) be a non zero degree continuous map between compact K\"ahler manifolds of dimension greater or equal to 2, where g_0 has constant negative holomorphic sectional curvature. Adapting the Besson-Courtois-Gallot barycentre map techniques
Mossa, Roberto
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FlexMat, EarlyView.Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
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DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning
Journal of Forecasting, EarlyView.ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
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Eigenvalue estimates for submanifolds of warped product spaces
, 2013 We give lower bounds for the fundamental tone of open sets in minimal submanifolds immersed into warped product spaces of type $N^n \times_f Q^q$, where $f \in C^\infty(N)$.
Bessa, G. Pacelli +3 more
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Do We Really Know Why Carbon Nanotubes Grow?
Small, EarlyView.The CNT growth mechanism is still debated. We propose a heterogeneous (2D) classical nucleation framework comparing pathways for graphenic patches, caps, and full CNTs. Despite its simplicity, it rationalizes key trends, including the correlation between catalyst particle size and CNT diameter.
Nicola Verziaggi +6 more
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Curvature and Concentration of Hamiltonian Monte Carlo in High Dimensions [PDF]
, 2015 In this article, we analyze Hamiltonian Monte Carlo (HMC) by placing it in the setting of Riemannian geometry using the Jacobi metric, so that each step corresponds to a geodesic on a suitable Riemannian manifold.
Holmes, Susan +2 more
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