Results 61 to 70 of about 2,478,358 (353)
Conformal Embeddings via Heat Kernel
, 2022 For any n-dimensional compact Riemannian Manifold $M$ with smooth metric $g$, by employing the heat kernel embedding introduced by Bérard-Besson-Gallot'94, we intrinsically construct a canonical family of conformal embeddings $C_{t,k}$: $M\rightarrow\mathbb{R}^{q(t)}$, with $t>0$ sufficiently small, $q(t)\gg t^{-\frac{n}{2}}$, and $k$ as a function ...
openaire +2 more sources
Advanced Functional Materials, EarlyView.The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
Acta Scientiarum: Technology, 2023 Spectral Graph theory has been utilized frequently in the field of Computer Vision and Pattern Recognition to address challenges in the field of Image Segmentation and Image Classification.
Subramaniam Usha +3 more
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Heat kernel asymptotics on sub-Riemannian manifolds with symmetries and applications to the bi-Heisenberg group [PDF]
Annales de la Faculté des sciences de Toulouse : Mathématiques, 2016 By adapting a technique of Molchanov, we obtain the heat kernel asymptotics at the sub-Riemannian cut locus, when the cut points are reached by an $r$-dimensional parametric family of optimal geodesics.
D. Barilari, U. Boscain, Robert W. Neel
semanticscholar +1 more source
Understanding Decoherence of the Boron Vacancy Center in Hexagonal Boron Nitride
Advanced Functional Materials, EarlyView.State‐of‐the‐art computations unravel the intricate decoherence dynamics of the boron vacancy center in hexagonal boron nitride across magnetic fields from 0 to 3 T. Five distinct regimes emerge, dominated by nuclear spin interactions, revealing optimal coherence times of 1–20 µs in the 180–350 mT range for isotopically pure samples.
András Tárkányi, Viktor Ivády
wiley +1 more source
GENETIC DIVERSITY FOR HEAT TOLERANT RELATED TRAITS IN MAIZE INBRED LINES
Agricultura, 2018 The present investigation was carried out at research field of National Maize Research Program (NMRP), Rampur, Chitwan, Nepal during February to June 2016.
Kandel Manoj +3 more
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Plants, 2022 Heat stress around flowering is harmful to maize growth and yield. Ear traits are closely related to yield; however, the effects of heat stress before and after flowering on ear development and yield traits remain unclear for different heat-tolerant ...
Na Wang +9 more
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Dirichlet Heat Kernel for the Laplacian in a Ball [PDF]
Potential Analysis, 2016 We provide sharp two-sided estimates on the Dirichlet heat kernel k 1 ( t , x , y ) for the Laplacian in a ball. The result accurately describes the exponential behaviour of the kernel for small times and significantly improves the qualitatively sharp ...
J. Małecki, G. Serafin
semanticscholar +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Sharp Estimates of Radial Dunkl and Heat Kernels in the Complex Case $A_n$
Comptes Rendus. Mathématique, 2021 In this article, we consider the radial Dunkl geometric case $k=1$ corresponding to flat Riemannian symmetric spaces in the complex case and we prove exact estimates for the positive valued Dunkl kernel and for the radial heat kernel.
Graczyk, Piotr, Sawyer, Patrice
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