Skip to main content
Scientific Computing and Machine Learning
SCML
Privacy Awareness, Responsibility and Trustworthy Lab
Main navigation
Home
People
All Profiles
Principal Investigators
Students
Former Members
Events
All Events
Events Calendar
News
Software
Projects
Topics
Courses
Theses
Publications
ITER
Solving the grandest of challenges
1 min read ·
Tue, Oct 30 2018
News
energy
nuclear fission
ITER
KAUST
Around the world, scientists, researchers and engineers seek to develop sustainable alternatives to the burning of fossil fuels. Some explore the kinetic energy of wind, gravity or water. Others capture excited electrons using photosensitive materials. William Tang, a principal research physicist at the Princeton Plasma Physics Laboratory at Princeton University, wants to power the world using the chemical reaction that stars run on—nuclear fusion—and he believes deep learning is a key.