With up to a million X-ray flashes per second, 8,000 times more than its predecessor, it transforms the ability of scientists to explore atomic-scale, ultrafast phenomena that are key to a broad range of applications, from quantum materials to clean...

Leora Dresselhaus-Marais, Claudio Emma,  Bernhard Mistlberger and Johanna Nelson Weker will pursue cutting-edge research into decarbonizing steel production, theoretical physics, generating more intense particle beams, and improving X-ray microscopes.

The long – but not too long – cavity would ping-pong X-ray pulses inside of a particle accelerator facility to help capture nature’s fastest movements.

The algorithm pairs machine-learning techniques with classical beam physics equations to avoid massive data crunching.

SLAC works with two small businesses to make its ACE3P software easier to use in supercomputer simulations for optimizing the shapes of accelerator structures.

An extension of the Stanford Research Computing Facility will host several data centers to handle the unprecedented data streams that will be produced by a new generation of scientific projects.

Knowing a magnet’s past will allow scientists to customize particle beams more precisely in the future. As accelerators stretch for higher levels of performance, understanding subtle effects, such as those introduced by magnetic history, is becoming more critical.