Results 251 to 260 of about 790,476 (361)

Evaluating high order discontinuous Galerkin discretization of the Boltzmann collision integral in <inline-formula><tex-math id="M1">\begin{document}$ \mathcal{O}(N^2) $\end{document}</tex-math></inline-formula> operations using the discrete fourier transform

, 2019
Alexander Alekseenko, Jeffrey Limbacher
openalex   +2 more sources

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

Quantum-enhanced dual-layer graph attention network for time-series forecasting. [PDF]

Sci Rep
Tang Y, Cai Z, Zhang Y, Gao Z, Yu J.
europepmc   +1 more source

Estimation of direct and cross power spectral density of discrete data using the fast Fourier transform

, 1969
A. C. Jolly
openalex   +1 more source

Spin Matters: A Multidisciplinary Roadmap to Understanding Spin Effects in Oxygen Evolution Reaction During Water Electrolysis

Advanced Energy Materials, EarlyView.
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne, Priscila Vensaus, Vadim Ratovskii, Seenivasan Hariharan, Jan Behrends, Cesare Franchini, Jonas Fransson, Sarnjeet S. Dhesi, Felix Gunkel, Florian Gossing, Georgios Katsoukis, Ulrike I. Kramm, Magalí Lingenfelder, Qianqian Lan, Yury V. Kolen'ko, Yang Li, Ramsundar Rani Mohan, Jeffrey McCord, Lingmei Ni, Eva Pavarini, Rossitza Pentcheva, David H. Waldeck, Michael Verhage, Anke Yu, Zhichuan J. Xu, Piero Torelli, Silvia Mauri, Narcis Avarvari, Anja Bieberle‐Hütter, Christoph Baeumer   +29 more
wiley   +1 more source

Multi-family wavelet-based feature engineering method for short-term time series forecasting. [PDF]

Sci Rep
Yemets K, Izonin I, Mitoulis SA.
europepmc   +1 more source

Wearable Thermoelectric Generators for In Vivo Modulation of Insulin Release

Advanced Energy Materials, EarlyView.
This work presents a wearable, self‐powered thermoelectric system (IGNITE) that sustainably harvests body heat to electrically stimulate engineered human cells for insulin release. Operating autonomously without batteries, IGNITE achieves glycemic control in diabetic mice, demonstrating a significant advance in bioelectronic medicine and setting the ...
Debasis Maity, Jinbo Huang, Martin Fussenegger   +2 more
wiley   +1 more source

Detection of atrial fibrillation via artificial intelligence-assisted auscultation. [PDF]

BMC Cardiovasc Disord
Guo Y, Lin H, Chen H, Wu X, Luo Y.
europepmc   +1 more source

Fault Detection of Stator Windings for PMSM Based on Fast Fourier and Discrete Wavelet Transform

A. Ouali, Djalal Eddine Khodja, Hassina Megherbi, Ibrahim Chouidira   +3 more
openalex   +2 more sources

Flash Synthesis of High‐Performance Sub‐Micron Low‐Disorder LiNixCoyAlzO2 Cathode Single Crystals

Advanced Energy and Sustainability Research, EarlyView.
A novel and scalable Flash‐Heat and Quench methodology has been developed to synthesize high‐performance LiNi0.8Co0.15Al0.05O2 single crystal cathodes in just minutes versus conventional methods that take multiple hours. X‐ray powder diffraction, neutron powder diffraction, and pair‐distribution and X‐ray absorption spectroscopy have shown low paired ...
Thomas E. Ashton, Shutao Wang, Michael J. Johnson, Callum Chisnall, Matthew G. Tucker, Helen Playford, Alexander J. E. Rettie, Jiacheng Wang, Yang Xu, Jawwad A. Darr   +9 more
wiley   +1 more source