Results 151 to 160 of about 372,561 (297)
Editorial: Interdisciplinary synergies in neuroinformatics, cognitive computing, and computational neuroscience. [PDF]
Deb N, Khan Z, Sulaiman M, Abu Bakar M.
europepmc +1 more source
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
A locally adaptive regularization of a hybrid variational model for color image diffusion via integration of diffusion with normalized data. [PDF]
Arain MB +6 more
europepmc +1 more source
Primary Historical Sources in the Classroom: Discrete Mathematics and Computer Science [PDF]
Janet Barnett +7 more
openaire +1 more source
Dollars for Drops: Abatement Cost of Water for Irrigation in the Colorado River Basin
ABSTRACT The Colorado River is a lifeline for more than 40 million people in the western United States. However, with climate change diminishing snowpacks in the Rocky Mountains and increasing demands from agriculture and urban areas, the river's flow has become insufficient to meet all the competing needs.
Shahin Bahrami +2 more
wiley +1 more source
Single-phase full-bridge inverter control based on discrete adaptive sliding mode algorithm with error compensation. [PDF]
Zhang Y, Tang Z, Xu F, Zhou K, Yang K.
europepmc +1 more source
Abstract Here, we introduce a calibration‐less bonded‐sphere model to describe three‐dimensional, linear elastic, highly deformable particles. Voronoi tessellation is used to partition a particle into multiple sub‐spheres, generating a virtual bond network that mimics the mechanical properties of the original particle.
Runhui Zhang +2 more
wiley +1 more source
Quantum higher-order Fourier analysis and the Clifford hierarchy. [PDF]
Bu K, Gu W, Jaffe A.
europepmc +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source

