Results 61 to 70 of about 27,139 (294)

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

Advanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet, Sergio Sánchez‐Manso, Arnau Manasanch, Lluc Tresserras, Xinhe Zhang, Yining Hua, Hao Zhao, Melody Torao‐Angosto, Maria V Sanchez‐Vives, Leonardo Dalla Porta   +9 more
wiley   +1 more source

Geodesics of quadratic differentials on Klein surfaces

Electronic Journal of Differential Equations, 2014
The objective of this article is to establish the existence of a local Euclidean metric associated with a quadratic differential on a Klein surface, and to describe the shortest curve in the neighborhood of a holomorphic point.
Monica Rosiu
doaj  

Generative Adversarial Framework to Calibrate Excursion Set Models for the 3D Morphology of All‐Solid‐State Battery Cathodes

Advanced Intelligent Systems, EarlyView.
Worklow for calibrating excursion sets of random fields using methods from generative artificial intelligence. This article presents a computational method for generating virtual 3D morphologies of functional materials using low‐parametric stochastic geometry models, that is, digital twins, calibrated with 2D microscopy images.
Orkun Furat, Sabrina Weber, Anina Dufter, Johannes Schubert, René Rekers, Maximilian Luczak, Erik Glatt, Andreas Wiegmann, Jürgen Janek, Anja Bielefeld, Volker Schmidt   +10 more
wiley   +1 more source

Generation of an optimal triangulated irregular network for topographic surface via optimal transport theory

Geo-spatial Information Science
A digital elevation model (DEM) is widely recognized as the most effective digital representation of the Earth’s surface and serves as the fundamental platform for simulating various Earth systems. Extensive efforts have been devoted to exploring methods
Feng Li, Haihong Zhu, Wei Li, Chengcheng Liu, Jianfang Ma, Lin Li   +5 more
doaj   +1 more source

Integrable geodesic flows on tubular sub-manifolds

Pracì Mìžnarodnogo Geometričnogo Centru, 2018
In this paper we construct a new class of surfaces whose geodesic flow is integrable (in the sense of Liouville). We do so by generalizing the notion of tubes about curves to 3-dimensional manifolds, and using Jacobi fields we derive conditions under ...
Thomas Waters
doaj   +1 more source

Windings of Prime Geodesics [PDF]

International Mathematics Research Notices
Abstract The winding of a closed oriented geodesic around the cusp of the modular orbifold is computed by the Rademacher symbol, a classical function from the theory of modular forms. In this article, we introduce a new construction of winding numbers to record the winding of closed oriented geodesics about a prescribed cusp of a general
Burrin, Claire, von Essen, Flemming
openaire   +5 more sources

Logarithmic and Strong Coupling Models in Weyl‐Type f(Q,T)$f(Q,T)$ Gravity

Annalen der Physik, EarlyView.
This work explores Weyl‐type f(Q,T) gravity using recent observational datasets — CC, Pantheon+, Union 3.0, and DESI DR2. Through MCMC analysis of logarithmic and strong coupling models, the study reveals a transition from deceleration to acceleration, quintessence‐to‐phantom dynamics, and late‐time consistency with LCDM, offering a geometry‐driven ...
Rahul Bhagat, S. K. Tripathy, B. Mishra
wiley   +1 more source

Convergence to a geodesic [PDF]

Osaka Journal of Mathematics, 1993
The equation \((d/dt) (c_ t)= D_{\dot c_ t}\dot c_ t\) (ES), a semi-linear heat equation, was studied by Eels and Sampson [\textit{J. Eels jun.} and \textit{J. H. Sampson}, Am. J. Math. 86, 109-160 (1964; Zbl 0122.401)]. They proved that for a compact Riemannian manifold \((M,g)\), with nonpositive sectional curvature, a solution \(c_ t\) exists for ...
openaire   +4 more sources

On Geodesic Bifurcations [PDF]

Geometry, Integrability and Quantization, 2017
In this paper we study fundamental equations of geodesics on surfaces of revolution. We obtain examples of existence of geodesic bifurcation.
Ryparová, Lenka, Mikeš, Josef
openaire   +2 more sources