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Massachusetts Institute of Technology

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New materials could boost the energy efficiency of microelectronics
Why some quantum materials stall while others scale
New 3D chips could make electronics faster and more energy-efficient
Have a damaged painting? Restore it in just hours with an AI-generated “mask”

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Controlling the direction of light emission in anisotropic perovskite nanoparticles using alignment, fusing, and surface interactions

Date and time
February 23, 2026 - 3 to 4pm
Speaker
Carissa Eisler, UCLA
MITnano Seminar Feb 23

3D-printing platform rapidly produces complex electric machines

Overcoming challenges of 3D printing with multiple functional materials, MIT researchers fabricated an electric linear motor in hours.
MIT researchers developed a 3D-printing platform that can utilize multiple functional materials to fully print a complex electronic device, like an electric linear motor, in a matter of hours.

How generative AI can help scientists synthesize complex materials

MIT researchers’ DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
generative AI

MTL is dedicated to advancing nanoscale science and technology to contribute towards addressing pressing human concerns in areas of communications, computation, energy, health, environment, transportation and others. MTL pursues fundamental knowledge and technologies in the context of actual systems with realistic constraints. MTL enhances its impact in the world through a vibrant industrial consortium. 

Microsystems Technology Laboratories
50 Vassar Street
Building 38, Room 246
Cambridge, MA 02139

E-mail: info [at] mtl.mit.edu (info[at]mtl[dot]mit[dot]edu)
Phone: (617) 253-0573

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