Results 221 to 230 of about 25,652 (291)
A Spectral Matching Algorithm Based on the Wasserstein Metric
ABSTRACT Through visual inspection, scientists can easily judge the similarity of pairs of spectra from different sources, whether they are experimental measurements, spectra libraries, or spectra calculations. Spectral similarity is recognized when the peak patterns appear similar, even if the peak positions are shifted or the peak amplitudes are ...
Klaus Neymeyr +7 more
wiley +1 more source
Data-driven, ML-assisted approaches to problem well-posedness. [PDF]
Bertalan T +5 more
europepmc +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Magnetically Controlled Two-Dimensional Charge Transport in Repulsive Nanostructured Potentials. [PDF]
Ciftja O, Bentley CL.
europepmc +1 more source
Interaction Between Vortex‐Induced Vibrations and Base Vibrations in Piezoelectric Harvesters
ABSTRACT In the present era, powering sensors using green energy is a significant challenge. One promising solution for the power supply of small sensors relies on piezoelectric energy harvesters excited by vortex‐induced vibrations (VIVs) generated by wind.
Michele Tonan +3 more
wiley +1 more source
Theoretical spectroscopic analyses of (Z)4,4′‐bis[‐3‐N‐ethyl‐2‐N’‐(phenylimino) thiazolidin‐4‐one] methane (2‐EPTh). The purpose of this research is to report the outcomes of experimental and theoretical spectroscopic analyses of (Z)4,4′‐bis[‐3‐N‐ethyl‐2‐N’‐(phenylimino) thiazolidin‐4‐one] methane (2‐EPTh).
Zohra Douaa Benyahlou +13 more
wiley +1 more source
On a neural phonon model of EEG brain dynamics. [PDF]
Batterton C +5 more
europepmc +1 more source
Time‐Adaptive HénonNets for Separable Hamiltonian Systems
ABSTRACT Measurement data is often sampled irregularly, i.e., not on equidistant time grids. This is also true for Hamiltonian systems. However, existing machine learning methods, which learn symplectic integrators, such as SympNets and HénonNets still require training data generated by fixed step sizes.
Konrad Janik, Peter Benner
wiley +1 more source
Ultrafast Metrology through Nonlinear Plasmonic Metasurfaces. [PDF]
Bhatt B, Faris MA, Guo C.
europepmc +1 more source
Advanced nonlinear dynamics and bifurcation structures in multi-coupled oscillators using a powerful non-perturbative framework. [PDF]
Moatimid GM, Mohamed YM, Abohamer MK.
europepmc +1 more source

