Results 31 to 40 of about 4,188 (200)

Identifiability, the KL property in metric spaces, and subgradient curves [PDF]

open access: yes
Identifiability, and the closely related idea of partial smoothness, unify classical active set methods and more general notions of solution structure.
Lewis, Adrian, Tian, Tonghua
core   +1 more source

AUTOMORPHISM GROUPS OF MAPS, SURFACES AND SMARANDACHE GEOMETRIES [PDF]

open access: yes, 2011
Automorphism groups survey similarities on mathematical systems, which appear nearly in all mathematical branches, such as those of algebra, combinatorics, geometry, · · · and theoretical physics, theoretical chemistry, etc..
MAO, LINFAN
core   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall   +4 more
wiley   +1 more source

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

open access: yesAdvanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep   +4 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Convexity Problems in Spaces of Constant Curvature and in Normed Spaces

open access: yes, 2008
We investigate various problems related to convexity in the three spaces of constant curvature (the Euclidean space, the hyperbolic space and the sphere) and in normed spaces.
Langi, Zsolt, Zsolt Lángi
core   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

open access: yesAdvanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei   +11 more
wiley   +1 more source

A new class of $({\cal H}^k,1)$-rectifiable subsets of metric spaces

open access: yes, 2012
The main motivation of this paper arises from the study of Carnot--Carathéodory spaces, where the class of $1$-rectifiable sets does not contain smooth non-horizontal curves; therefore a new definition of rectifiable sets including non-horizontal curves ...
Ghezzi, Roberta, Jean, Frédéric
core   +1 more source

Polar Wurtzite NbAlN: A Transition‐Metal Nitride Alloy for Polarization‐Engineered GaN Heterostructures

open access: yesAdvanced Materials, EarlyView.
A novel polar wurtzite alloy, NbAlN, is demonstrated as a transition‐metal‐containing polar barrier for GaN heterostructures. Nb atoms form coherent nanoscale enrichment within the wurtzite lattice without disrupting metal polarity. This study demonstrates that transition metals can be integrated into polar nitrides to enable polarization‐related ...
Atsushi Kobayashi   +12 more
wiley   +1 more source

Inverse Design of Nanoparticulate Materials

open access: yesAdvanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré   +5 more
wiley   +1 more source

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