Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings physicists use to represent particle interactions. The new method has already ...
Phase diagrams provide considerable information that is vital for materials exploration. However, the determination of multidimensional phase diagrams typically requires a significant investment of ...
The advent of machine learning interatomic potentials (MLPs) is revolutionising the field of computational materials science, enabling simulations of large systems and complex material properties with ...
Simulate the processes required to develop specific materials microstructures and properties. This program is no longer accepting applications. The College of Engineering (COE) offers a variety of ...
Illustration of a polaron in a crystal: the central bright sphere is the charge carrier, distorting the surrounding lattice. The wavy lines represent high-order Feynman diagrams for the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results