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Materials in Extreme Environments

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For clean ammonia, MIT engineers propose going underground
New computational chemistry techniques accelerate the prediction of molecules and materials
A multi-task machine learning approach is developed to predict the electronic properties of molecules, as demonstrated in the computational workflow illustrated here. Back in the old days, the really old days, the task of designing materials was laborious. Investigators, over the course...
Nanoscale transistors could enable more efficient electronics
Prof Ju Li along with a research team at MIT has developed a new kind of nanoscale transistor using ultrathin semiconductor materials which operate more efficiently than silicon-based devices
Study of disordered rock salts leads to battery breakthrough
Research by NSE’s Ju Li, Yimeng Huang, and collaborators describes a new family of integrated rock salt-polyanion cathodes opens door to low-cost, high-energy storage.
More durable metals for fusion power reactors
In the race to achieve carbon-free commercial fusion energy, one stumbling block has been that key structural metals inside proposed fusion reactors can fail in just a few months. MIT engineers have demonstrated that adding nanoparticles of certain ceramics to the metals can protect them from damage and significantly extend their lifetime. Above: Professor Ju Li (right) and postdoc So Yeon Kim examine samples of the composite they have fabricated for their demonstrations. Credit: Gretchen Ertl
A new approach to fine-tuning quantum materials
An MIT-led group shows how to achieve precise control over the properties of Weyl semimetals and other exotic substances Quantum materials – those with electronic properties that are governed by the principles of quantum mechanics such as correlation and entanglement – can...
Proton-conducting materials could enable new green energy technologies
Analysis and materials identified by NSE’s Bilge Yildiz and other MIT engineers could lead to more energy-efficient fuel cells, electrolyzers, batteries, or computing devices.
AI method radically speeds predictions of materials’ thermal properties
The approach, developed by NSE’s Mingda Li and a team of researchers from MIT and elsewhere, could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
Mingda Li, one of two MIT teams selected for NSF sustainable materials grants
Chosen from 16 finalist teams, Prof Li’s project will be finding pathways to scale up sustainable topological materials, which have the potential to revolutionize next-generation microelectronics by showing superior electronic performance, such as dissipationless states or high-frequency response.
A new way to detect radiation involving cheap ceramics
Work by MIT engineers could lead to plethora of new applications, including better detectors for nuclear materials at ports.