922 papers
Computational physics bridges the gap between abstract theory and real-world observation by using powerful computers to solve complex physical problems. This field allows scientists to simulate everything from the collision of subatomic particles to the swirling dynamics of galaxies, offering insights that traditional experiments alone cannot provide.
On Gist.Science, we continuously process every new preprint in this category from arXiv to make these breakthroughs accessible to everyone. Each entry is accompanied by both a clear, plain-language explanation and a detailed technical summary, ensuring that researchers and curious readers alike can grasp the significance of the latest findings without getting lost in dense equations.
Below are the latest papers in computational physics, curated to keep you at the forefront of this rapidly evolving discipline.
This paper proposes integrating the Hopfield model into undergraduate physics curricula as a pedagogical bridge that unifies statistical mechanics, dynamical systems, and linear algebra to help students understand the physical foundations of modern artificial intelligence.
By combining the energy resolution limits of quantum sensors with the human brain's metabolic power, this paper establishes a technology-independent fundamental bound of approximately 2.2 Mbit/s on the information capacity of magnetoencephalography, revealing an inherent spatio-temporal trade-off that limits the spatial complexity of detectable neural patterns.