Classical density functional theory (DFT) is a powerful approach for predicting inhomogeneous fluid equilibria. The development of functionals that model the rich interparticle correlations remains a ...
A fundamental variable characterizing immiscible two-phase flow in porous media is the wetting saturation, which is the ratio between the pore volume filled with wetting fluid and the total pore ...
Buckling plays a critical role in the transport and dynamics of elastic microfilaments in Stokesian fluids. However, previous work has only considered filaments with homogeneous structural properties.
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While deep learning is successful in a number of applications, it is not yet well understood theoretically. A theoretical characterization of deep learning should answer questions about their ...
Abstract: In this paper, a twisting-based consensus algorithm is put forward to deal with the event-triggered finite-time consensus for networked Lagrangian systems with directed graphs. First, a ...
ABSTRACT: Some results in growth theory based on the Cobb-Douglas production function model are generalized when the production function is chosen to be the Constant Elasticity of Substitution (CES) ...
ABSTRACT: Some results in growth theory based on the Cobb-Douglas production function model are generalized when the production function is chosen to be the Constant Elasticity of Substitution (CES) ...
I would like to start to explain something about the “intrinsic volumes” for Riemannian manifolds, which are some fundamental differential geometric invariants including the volume, the total scalar ...
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