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Our work accepted by Nature Computational Science. Big Congratulations!
Our work “Virtual Node Graph Neural Network for Full Phonon Prediction,” led by our group members Ryotaro, Abhijatmedhi, and Artittaya, supported by ORNL Scientist YQ and many others, is accepted by Nature Computational Science. This work overturns…
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Abhijatmedhi has received EECS best TA award. Big Congratulations!!
Abhijatmedhi has received the prestigious 2024 Harold L. Hazen Teaching Award for excellence in EECS. Big congratulations!!
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Our work accepted by Matter. Big congratulations!
Our work “Machine Learning Detection of Majorana Zero Modes from Zero Bias Peak Measurements”, led by our team members Mouyang, supported by Ryotaro and Earth, has been accepted by Matter, the leading physics journal from…
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Two MIT teams selected for NSF sustainable materials grants
Chosen from 16 finalist teams, the MIT-led projects will investigate quantum topological materials and sustainable microchip production.
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Abhijatmedhi has been selected to attend the National NX School. Big congratulations!
Our group member Abhijatmedhi has been selected to attend the 26th National School on Neutron and X-ray Scattering, at Argonne National Laboratory and Oak Ridge National Labratory. Big congratulations!
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With inspiration from “Tetris,” MIT researchers develop a better radiation detector
The device, based on simple tetromino shapes, could determine the direction and distance of a radiation source, with fewer detector pixels.
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Propelling atomically layered magnets toward green computers
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
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Our work accepted by Nat Commun. Big Congratulations!
Our work “Tetris-inspired detector with neural network for radiation mapping”, led by our team members Ryotaro, former group member Shangjie, and NSE alumnus Jayson, has been accepted by Nature Communications. Conventional radiation detection often uses a…
