AI in Materials Discovery Market reached USD 536.4 million in 2024 and is projected to reach USD 5,584.2 million by ...
How can components be designed for an optimal balance of minimal weight and maximum robustness? This is a challenge faced by many industries, from medical device manufacturing to the automotive and ...
Power, performance, and area metrics alone are no longer sufficient to capture the full range of design goals.
How CAD, AI, Digital Twins and MBSE are overhauling design fundamentals in heavy machinery and equipment industries.
Samsung and Google recently revamped their operating systems, so let's compare the two biggest Android skins on the market.
Abstract: Minimizing conductor cost is one of the goals in high-field HTS magnet design. Optimization of magnet design to minimize conductor length is one way to approach the problem. HTS tapes have ...
The AI-driven framework of optimizing the mechanical property of 2D-PHS. Two-dimensional patterned hollow structures (2D-PHS) are an advanced class of metamaterials known for their unique mechanical ...
Introduction: The advancement of digitized material design has revolutionized the field of materials science by integrating computational modeling, machine learning, and high-throughput simulations.
The Android 16 QPR1 Beta update brings Material 3 Expressive to supported Pixel devices. Material 3 Expressive brings a complete overhaul to the user interface, from the home screen to quick settings.
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