Want cheaper nuclear energy? Turn the design process into a game

Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.

Kim Martineau | MIT Quest for Intelligence • mit
Dec. 17, 2020 ~5 min

Cracking the secrets of an emerging branch of physics

In a new realm of materials, PhD student Thanh Nguyen uses neutrons to hunt for exotic properties that could power real-world applications.

Leda Zimmerman | Department of Nuclear Science and Engineering • mit
Nov. 20, 2020 ~8 min

A trapped-ion pair may help scale up quantum computers

Qubits made from strontium and calcium ions can be precisely controlled by technology that already exists.

Kylie Foy | Lincoln Laboratory • mit
Jan. 28, 2020 ~8 min

Nature can help solve optimization problems

A low-cost analog circuit based on synchronizing oscillators could scale up quickly and cheaply to beat out digital computers.

Kylie Foy | Lincoln Laboratory • mit
Oct. 28, 2019 ~9 min

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