Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
Rapid temperature cycling from one extreme to another affects the rate at which the mean particle size in solid or liquid solutions changes.
The ability of deep neural networks to generalize can be unraveled using path integral methods to compute their typical Boolean functions.
In quantum tunnelling, a particle tunnels through a barrier that it classically could not surmount.
With inspiration from Maxwell’s classic thought experiment, it is possible to extract macroscopic work from microscopic measurements of photons.
When networks come under attack, a repairable architecture is superior to, and globally distinct from, an architecture that is robust.
The transition from solid to hollow beams changes the scaling of stability versus loading analogously to increasing the hierarchical order by one.