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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.
NSE researchers discover “neutronic molecules”
A study by graduate students Hao Tang and Guoqing Wang, and profs Ju Li and Paola Cappellaro, shows neutrons can bind to nanoscale atomic clusters known as quantum dots. The finding may provide insights into material properties and quantum effects.
A first-ever complete map for elastic strain engineering
The “map”, or the phonon stability boundary, a graphical representation that plots the stability regions of a crystal as a function of strain. This map helps scientists and engineers determine the conditions under which a material can exist in a particular phase...
Tests show high-temperature superconducting magnets are ready for fusion
Detailed study of magnets built by MIT and Commonwealth Fusion Systems confirms they meet requirements for an economic, compact fusion power plant.
Researchers harness 2D magnetic materials for energy-efficient computing
NSE’s Thanh Nguyen and Mingda Li with an MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories.
Future nuclear power reactors could rely on molten salts — but what about corrosion?
NSE’s Associate Professor Michael Short and postdoc Dr. Weiyue Zhou have demonstrated that proton irradiation decreases the rate of corrosion in certain metal alloys. This is potentially good news for designers and builders of promising nuclear power reactors that rely on molten salts, which tend to be highly corrosive.
Technique could improve the sensitivity of quantum sensing devices
The method lets researchers identify and control larger numbers of atomic-scale defects, to build a bigger system of qubits.
NSE alums Steven Jepeal and Samuel McAlpine selected to Forbes 30 under 30
Recognized in the Fobes 30 Under 30 — Manufacturing & Industry category for 2024, Jepeal and McAlpine cofounded Allium to develop coatings for structural engineering and construction projects that enable buildings and bridges to last centuries instead of decades.
MIT engineers develop a way to determine how the surfaces of materials behave
Prof Bilge Yildiz and colleagues devised a machine-learning-based method to investigate how materials behave at their surfaces. The approach could help in developing compounds or alloys for use as catalysts, semiconductors, or battery components.
Three MIT students selected as inaugural MIT-Pillar AI Collective Fellows
The inaugural MIT-Pillar AI Collective Fellows are (from left to right) Alexander Andonian, Daniel Magley, and Madhumitha Ravichandra.