Coal has long served as the cornerstone of China’s energy structure and a fundamental guarantee of its energy security; however, large-scale mining activities have triggered significant resource waste ...

SolidWorks is a premier 3D CAD design software used by engineers and designers worldwide for creating complex mechanical parts, assemblies, and detailed drawings. It provides an intuitive interface ...

Fluid-Implicit-Particle or FLIP is a method for simulating particle interactions in fluid dynamics, commonly used in visual effects for its speed. [Nick] adapted this technique into an impressive FLIP ...

What if creating professional-grade videos required no cameras, no crew, and no weeks of editing? With Google Flow Veo3, that vision edges closer to reality. Positioned as a flagship feature of the ...

The high power consumption of electronic systems, driven by applications in Artificial Intelligence (AI) and High-Performance Computing (HPC), is generating a significant demand to address overheating ...

Background In intracranial atherosclerotic stenosis (ICAS), low fractional flow (FF) may indicate hemodynamic significance. Objective To investigate, using simulation models, whether invasive ...

TL;DR: NVIDIA's PhysX and Flow technologies are now fully open-source, with source code available on GitHub under the BSD-3 license. This allows developers to update older 32-bit PhysX games for ...

A close look at air flow around high-speed shapes reveals surprising turbulence, according to a new study. The findings, published March 7 in the journal Physical Review Fluids, could inform the ...

ABSTRACT: This article presents a comprehensive exploration of the design, modeling, and analysis of a wind turbine, employing a multidisciplinary approach to optimize its performance. The blade ...

Nvidia announced its Nvidia Omniverse Blueprint, a technology that enables industry software developers to build digital twins with realistic real-time physics. It enables computer-aided engineering ...

In healthcare, time series data is extensively used to track patient metrics like vital signs, lab results, and treatment responses over time. This data is critical in monitoring disease progression, ...