-
The AI-Thermodynamics Revolution: Accelerating Scientific Discovery and Engineering a Sustainable Future
The application of Artificial Intelligence (AI), particularly Machine Learning (ML), has demonstrated remarkable success in thermodynamics, enabling the development of highly accurate and efficient models for molecular simulation, materials design, and property prediction. Pioneering work, such as the creation of High-Dimensional Neural Network Potentials (HDNNPs) by Behler and Parrinello [1] and the subsequent rise of…
-
Artificial Intelligence in Fluid Dynamics: A Literature Review of Applications, Challenges, and Future Directions
Summary Decoding Fluid Dynamics: How AI is Redefining Computational Science The study of fluid dynamics (FD) is undergoing a profound transformation, moving from traditional Computational Fluid Dynamics (CFD) to a new paradigm powered by Artificial Intelligence (AI) and Machine Learning (ML). This shift is not merely an optimization of existing methods but a fundamental change…
-
Meet The New Family of Blow-Ups Discovered By Google DeepMind
For centuries, mathematicians and physicists have used equations like the Euler and Navier-Stokes equations to describe how fluids move. A big mystery is whether these equations can predict that a smooth, well-behaved flow will suddenly develop a “singularity”—a point where things like velocity become infinite in a finite amount of time. Most previous research has…
-
Subscribe
Subscribed
Already have a WordPress.com account? Log in now.
Circular Astronomy 