Berkeley Lab researchers have developed a new algorithm that makes it easier to produce real-time numerical simulations of ultrafast physical phenomena, such as electrical charge transfer.
Bigger steps: Berkeley Lab researchers develop algorithm to make simulation of ultrafast processes possible
Making a Good Thing Better: Berkeley Lab Researchers Open a Possible Avenue to Better Electrolyte for Lithium Ion Batteries
Using one of the most powerful lasers in the world, Berkeley Lab researchers have accelerated subatomic particles to the highest energies ever recorded. They used an emerging class of compact particle accelerator that physicists believe can shrink traditional, miles-long accelerators to machines that can fit on a table.
Not long ago, it would have taken several years to run a high-resolution simulation on a global climate model. But using some of the most powerful supercomputers now available, Berkeley Lab climate scientist Michael Wehner was able to complete a run in just three months. What he found was that not only were the simulations much closer to actual observations, but the high-resolution models were far better at reproducing intense storms, such as hurricanes and cyclones.
A unique inside look at the electronic structure of a highly touted metal-organic framework (MOF) as it is adsorbing carbon dioxide gas should help in the design of new and improved MOFs for carbon capture and storage.
On Wednesday, Oct. 9, the Nobel Prize in Chemistry was awarded to three scientists for pioneering methods in computational chemistry that have brought a deeper understanding of complex chemical structure and reactions in biochemical systems. These methods can precisely calculate how very complex molecules work and even predict the outcomes of very complex chemical reactions. One of the laureates — Martin Karplus of Harvard University — has been using supercomputers at the National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab since 1998.