Results 61 to 70 of about 121,613,928 (97)
On quantum and relativistic mechanical analogues in mean field spin models [PDF]
Conceptual analogies among statistical mechanics and classical or quantum mechanics often appeared in the literature. For classical two-body mean field models, such an analogy is based on the identification between the free energy of Curie-Weiss type ...
Guerra, F. +10 more
core +1 more source
Protein deep learning is moving from single structure prediction toward bound complex modeling and conformational ensemble generation. An architectural perspective shows how symmetry, evolutionary information, generative sampling, and energetic grounding shape performance and generalization.
Daniele Angioletti +3 more
wiley +1 more source
Geometry of PDEs and Mechanics.
Algebraic Geometry: Algebraic Complements, Affine spaces, Differential Manifolds, Grassmann Manifolds, Spectral Sequences. 2. Differential Equations (PDES): Geometry of Differential Equations, Ordinary Differential Equations (ODEs), Characteristics ...
PRASTARO, Agostino
core
Breaking Physiological Barriers in Women's Health: Mucoadhesive and Stimuli‐Responsive Nanomaterials
Drug delivery vehicles generated from biomaterials for women's health. In particular, the breast and the reproductive system, including the ovary, uterus, cervix, vagina, and the surrounding tissues, targeted drug delivery. BioRender. ABSTRACT Biomaterials are natural or synthetic molecules that exhibit biocompatibility, biodegradability, or ...
Maddox Parsons +4 more
wiley +1 more source
NORi: An ML‐Augmented Ocean Boundary Layer Parameterization
Abstract NORi is a machine learning (ML) parameterization of ocean boundary layer (BL) turbulence that is physics‐based and augmented with neural networks. NORi stands for neural ordinary differential equations Richardson number (Ri) closure. The physical parameterization is controlled by a Richardson number‐dependent diffusivity and viscosity.
Xin Kai Lee +6 more
wiley +1 more source
This course introduces fluid mechanics, the study of how and why fluids (both gaseous and liquid) behave the way they do. This free course may be completed online at any time. See course site for detailed overview and learning outcomes.
The Saylor Foundation
core
Abstract The injection of CO2 into geological reservoirs can acidify the reservoir environment, leading to the dissolution of mineral grains and increasing the risk of CO2 leakage. A deeper understanding of these micro‐scale dissolution mechanisms is therefore essential for the safety of geological CO2 sequestration.
Zhi‐Jun Wu +5 more
wiley +1 more source
Experimental study of local scour around piles in tidal current
This paper presents an experimental study of local scour around a vertical circular pile subject to unidirectional flow, sinusoidal tidal current and a reversing current (i.e. a ‘square’ tide).
Draper, Scott +6 more
core
KPP Dynamics in Predator–Prey Models: A Survey and a Mussel–Algae Case Study
ABSTRACT We discuss traveling fronts in several coupled reaction–diffusion systems that model predator–prey interactions, as well as other systems that share similar structural features. We review some cases where the traveling fronts exist and are small perturbations of fronts in certain scalar equations of Fisher–KPP or Burgers–FKPP type.
Anna Ghazaryan, Vahagn Manukian
wiley +1 more source
Numerical Identification of Stationary States and Their Stability in a Model of Quantum Droplets
ABSTRACT In this work, we are motivated by a recent variant of the nonlinear Schrödinger (NLS) equation describing cold, dilute atomic condensates with quantum fluctuation effects. Our goal is to develop robust numerical methods capable of uncovering diverse stationary solutions in such NLS models.
Sun Lee +2 more
wiley +1 more source

