Most solid materials we rely on, from steel, to plastics and ceramics, are designed to have specific properties. Whether a material is soft and flexible, or stiff and tough depends on how molecules ...
One of the scariest moments of my life happened in 2022 when my father, Tom Donvito, then 75 and unaware of any allergies, experienced an anaphylactic reaction to a hornet sting. After he passed out, ...
Heating accounts for nearly half of the global energy demand, and two-thirds of that is met by burning fossil fuels like natural gas, oil, and coal. Solar energy is a possible alternative, but while ...
Abstract: Optical fiber Bragg grating (FBG) technology offers many advantages over conventional electrical sensors for the measurement of fluid-structure interaction (FSI). In this work, FBGs are used ...
High-Altitude-Long-Endurance (HALE) Unmanned Aerial Vehicles (UAV) operating at low Reynolds numbers face significant challenges from atmospheric gusts, which can intensify flow separation and induce ...
For the last two years, the fundamental unit of generative AI development has been the "completion." You send a text prompt to a model, it sends text back, and the transaction ends. If you want to ...
A Chinese team led by researchers from Kunming University of Science and Technology and Yunnan Yuntong Zinc Co. built a model to simulate electric heat processing of U-shaped silicon rods in a novel ...
Scientists at the Department of Applied Physics II of the University of Malaga have participated in the design of a new technology that controls fluids and particles in three dimensions through ...
The dynamic response of the capsule-airbags system during interaction with both regular and irregular waves at Ux=12m/s is systematically analyzed across three characteristic phases: initial impact, ...
This computational framework is specifically designed for high-fidelity modeling of strongly coupled interactions between hypersonic flows and deformable structures with fracture mechanics. Its core ...
Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...
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