Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow approaches.
The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
The performance of rechargeable batteries is governed by processes deep within their components. A fundamental understanding of electrochemistry, structure–property–performance relationships and the ...
2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...
Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...
How Digital Twins and AI are Redefining Air Superiority. Discover how AI-powered digital twins model complex enterprise ...
Chip giant Nvidia unveils compute expansion with L&T, Yotta and E2E Networks at the India AI Impact Summit, paving the way ...
In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform’s data, my colleagues and I looked for signs of social bot accounts ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results