Results 31 to 40 of about 159,448 (292)
Stein manifolds M for which O(M) has the property Ω-tilda (Dedicated to Mikhail Mikhaylovich Dragilev on the occation of his 90th birthday) [PDF]
In this note, we consider the linear topological invariant Ω-tilda for Fréchet spaces of global analytic functions on Stein manifolds. We show that O(M), for a Stein manifold M, enjoys the property Ω-tilda if and only if every compact subset of M lies ...
Aytuna, Aydın, Aytuna, Aydin
core +1 more source
Stein spaces characterized by their endomorphisms [PDF]
Finite-dimensional Stein spaces admitting a proper holomorphic embedding of the complex line are characterized, among all complex spaces, by their holomorphic endomorphism semigroup in the sense that any semigroup isomorphism induces either a biholomorphic or an antibiholomorphic map between them.
openaire +3 more sources
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
Information Dense and Industry Scalable Accelerated Formation
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 more
wiley +1 more source
The Oka principle for sections of subelliptic submersions
Let X and Y be complex manifolds. One says that maps from X to Y satisfy the Oka principle if the inclusion of the space of holomorphic maps from X to Y into the space of continuous maps is a weak homotopy equivalence. In 1957 H.
Forstneric, Franc
core +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
ABSTRACT Background Appropriate medical therapy (AMT) is first‐line treatment for patients with chronic rhinosinusitis (CRS). We evaluated inflammatory structure, treatment‐induced changes, and biomarker‐outcome associations in AMT‐managed patients. Methods Fifty‐one CRS patients were evaluated before and after AMT which included a combination of oral ...
Asher C. Park +9 more
wiley +1 more source
We study conical square function estimates for Banach-valued functions, and introduce a vector-valued analogue of the Coifman-Meyer-Stein tent spaces. Following recent work of Auscher-McIntosh-Russ, the tent spaces in turn are used to construct a scale ...
A. Axelsson +26 more
core +1 more source
Broadening the semiaquatic scene: Quantification of long bone microanatomy across pinnipeds
Abstract Investigations of bone microanatomy are commonly used to explore lifestyle strategies in vertebrates. While distinct microanatomical limb bone features have been established for exclusively aquatic and terrestrial lifestyles, identifying clear patterns for the semiaquatic lifestyle remains more challenging.
Apolline Alfsen +10 more
wiley +1 more source
An embedding theorem for Campanato spaces
The purpose of this paper is to give a Sobolev type embedding theorem for the spaces $mathcal{L}_{p,q}^{lambda,s}(mathbb{R}^{n})$. The homogeneous versions of these spaces contain well known spaces such as the Bounded Mean Oscillation spaces (BMO) and ...
Azzeddine El Baraka
doaj

