Results 121 to 130 of about 156,766 (287)
GPU-Accelerated Quantum ESPRESSO
<p>This is a <strong>pre-production</strong> version of QE-GPU, not all packages and functionalities are fully supported.
Massimiliano Fatica +3 more
core +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
New technologies for big multimedia data treatment
With the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is bigger.
Mercedes Barrionuevo +10 more
doaj
Background. Choosing the best optimizer is an important step in developing efficient automatic image classification systems. In particular, for neural networks based on convolutional neural networks (CNNs), the choice between popular optimization methods
Andrian Kozynets
doaj +1 more source
GPU cards as a low cost solution for efficient and fast classification of high dimensional gene expression datasets [PDF]
The days when bioinformatics tools will be so reliable to become a standard aid in routine clinical diagnostics are getting very close. However, it is important to remember that the more complex and advanced bioinformatics tools become, the more ...
Scionti, A. +4 more
core
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
GPU Accelerated Variation after Projection Calculation
The nuclear shell model has been very successful in describing various properties of nuclei, especially in the neighborhood of the closed shells, where the configuration space is usually small but good enough for the construction of the nuclear wave ...
LU Xiao, LIAN Zhanjiang, GAO Zaochun
doaj +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
GPU-based processing architecture for video SAR acceleration
Video Synthetic Aperture Radar (ViSAR) systems enable dynamic monitoring of the target area with low latency and high resolution. High performance computing is the key technology of ViSAR system.
Zhu Shuang, Liu Yanbin, Liu Yabo
doaj +1 more source

