Predicting material properties with quantum Monte Carlo

Predicting material properties with quantum Monte Carlo

Argonne National Laboratory
July 9, 2019

Recent advances in quantum Monte Carlo (QMC) methods have the potential to revolutionize computational materials science, a discipline traditionally driven by density functional theory (DFT). While DFT provides convenience to its practitioners and has unquestionably yielded a great many successes throughout the decades since its formulation, it is not without shortcomings…

Scientists combine light and matter to make particles with new behaviors

Scientists combine light and matter to make particles with new behaviors

University of Chicago
July 3, 2019

Every type of atom in the universe has a unique fingerprint: It only absorbs or emits light at the particular energies that match the allowed orbits of its electrons. That fingerprint enables scientists to identify an atom wherever it is found. A hydrogen atom in outer space absorbs light at the same energies as one on Earth…