Results 81 to 90 of about 166,080,641 (165)
A novel dispersion‐phase defect‐healing strategy using Br‐doped PbS quantum dots (QDs) significantly stabilizes CsPbI3 perovskite (Pe) QDs by passivating internal vacancies. This approach reduces trap‐assisted nonradiative recombination, enabling high‐performance indoor photovoltaics with exceptional stability.
Seon Joong Kim +9 more
wiley +1 more source
Differentiable approximations to Brownian motion on manifolds [PDF]
The main part of this thesis is devoted to generalised Ornstein-Uhlenbeck processes. We show how to construct such processes on 2-uniformly smooth Banach spaces.
Dowell, Richard Malcolm
core
Kahler manifolds and their relatives [PDF]
Let M1 and M2 be two K¨ahler manifolds. We call M1 and M2 relatives if they share a non-trivial K¨ahler submanifold S, namely, if there exist two holomorphic and isometric immersions (K¨ahler immersions) h1 : S → M1 and h2 : S → M2. Moreover, two K¨ahler
Loi, A., Di Scala, Antonio Jose'
core
Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley +1 more source
The Ensemble Kalman Inversion Race
Abstract Ensemble Kalman methods were initially developed to solve nonlinear data assimilation problems in oceanography but are now popular in applications far beyond their original use cases. Of particular interest is climate model calibration.
Rebecca Gjini +3 more
wiley +1 more source
Lagrangian systems with Lipschitz obstacle on manifolds [PDF]
Lagrangian systems constrained on the closure of an open subset with Lipschitz boundary in a manifold are considered.
Lancelotti, Sergio +3 more
core
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
We bridge micro‐ and macroparasite theory with a model tracking pathogen load heterogeneity. By incorporating load‐dependent mortality and within‐host pathogen growth, we show how pathogen load aggregation alters disease prevalence, host suppression effects, and virulence evolution, providing insights for managing complex infectious disease like ...
Ruijiao Sun +3 more
wiley +1 more source
Subgroup separability, knot groups, and graph manifolds
This paper answers a question of Burns, Karrass and Solitar by giving examples of knot and link groups which are not subgroup-separable. For instance, it is shown that the fundamental group of the square knot complement is not subgroup separable.
Wise, Daniel T. +3 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

