Building the next discovery machine
Advancing our understanding of the origin of mass, structure, and binding of atomic nuclei
Brookhaven National Laboratory is the host site for the future Electron-Ion Collider (EIC), a unique high-energy, high-luminosity polarized collider that will be one of the most challenging and exciting accelerator complexes ever built. The EIC will be a discovery machine, providing answers to long-elusive mysteries of matter related to our understanding the origin of mass, structure, and binding of atomic nuclei that make up the entire visible universe.
The EIC Directorate will work closely with domestic and international partners to deliver the $1.6B—$2.6B EIC construction project and then begin EIC operations.
Public science site containing full details on the EIC physics mission.
EIC Conceptual Design Report (2021)
Provides the technical reference design for the Electron-Ion Collider. (170 Mb)
We are are poised to reach a deeper picture of the proton and neutron as collective many-body systems with new emergent behavior.
A close examination of the energy dependence of key measurements that are essential to ensure a compelling EIC science program.
The science case of an EIC, focused on the structure and interactions of gluon-dominated matter.
A long range plan to provide a framework for coordinated advancement of the Nation's nuclear science research programs over the next decade.
The mission of this Center is to promote and facilitate the realization of the U.S. based EIC by enhancing the science case and collaborations amongst the scientists around the world interested in the EIC.
The Electron-Ion Collider User Group consists of more than 1,000 physicists from over 200 laboratories and universities from around the world who are working together to make the EIC a reality.
Jefferson Lab EIC Partner Project
530th Brookhaven Lecture: Photocathode Guns for Electron Beams
Luisella Lari Joins Brookhaven Lab as Electron-Ion Collider Project Manager
Smashing Heavy Nuclei Reveals Proton Size
How Do You Solve a Problem Like a Proton? You Smash It to Smithereens – Then Build It Back Together With Machine Learning