MIT

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May 27

  • New fuel cell could enable electric aviation

    ➀ MIT researchers developed a sodium-air fuel cell with 3x higher energy density than lithium-ion batteries, potentially enabling electric aviation;

    ➁ The system uses liquid sodium and air, produces sodium bicarbonate as a carbon-capturing byproduct, and addresses safety through separated reactants;

    ➂ Startup Propel Aero aims to commercialize the technology for regional flights and drones, with a 1,000 Wh/kg prototype targeted within a year.

    MITPropel AeroSodium Metal Fuel Cells

May 22

  • MIT physicists discover a new type of superconductor that’s also a magnet

    ➀ MIT physicists discovered a chiral superconductor in rhombohedral graphene that exhibits both superconductivity and intrinsic magnetism;

    ➁ The material switches between superconducting states under magnetic fields, challenging traditional views on superconductors and magnetism;

    ➂ This discovery in graphite's unique structure offers insights into quantum interactions and potential applications in topological superconductors and quantum computing.

    MITchiral superconductorgraphite

April 4

April 3

March 28

March 17

March 4

  • Designing better ways to deliver drugs
    ➀ Louis DeRidder's near-death experience at 12 sparked his interest in medicine; ➁ His high school program led to a deep fascination with drug delivery to the brain; ➂ DeRidder's research at Johns Hopkins University focused on nanoparticle-drug conjugates for neurodegenerative diseases; ➃ At Harvard-MIT, he developed CLAUDIA, a device for personalized drug dosing during chemotherapy; ➄ DeRidder's work involves MATLAB and Simulink for modeling drug pharmacokinetics; ➅ He aims to move CLAUDIA towards clinical use and potentially start a company for commercialization; ➆ In addition, DeRidder is developing new nanoparticles for therapeutic nucleic acid delivery; ➇ He balances research with community service, helping the homeless in Boston; ➈ His long-term goals include developing treatments for neurological diseases and cancer.
    Harvard-MIT Health Sciences and TechnologyJohns Hopkins UniversityMathWorks

January 7

January 4

November 21

  • Tunable ultrasound propagation in microscale metamaterials
    ➀ Researchers from MIT and other institutions have developed a design framework for controlling ultrasound wave propagation in microscale acoustic metamaterials; ➁ The framework involves precisely positioning microscale spheres to tune how ultrasound waves travel through 3D microscale metamaterials; ➂ The work enables tunable elastic-wave velocities within microscale materials and demonstrates an acoustic demultiplexer, paving the way for microscale devices useful for ultrasound imaging or information transmission.
    MITScience Advancesmechanical engineering

November 19

November 4

October 31

  • “Wearable” devices for cells
    ➀ MIT researchers develop wearable devices for individual cells; ➁ These subcellular-sized devices are battery-free and made of a soft polymer; ➂ They can measure or modulate a neuron’s electrical and metabolic activity at a subcellular level.
    MITNeuronsWearable Devices

October 15

October 11

July 30

  • MIT spinout Arnasi begins applying LiquiGlide no-stick technology to help patients
    ➀ Arnasi Group, formerly known as LiquiGlide, is developing biomedical products leveraging their no-stick technology; ➁ Their first product, Revel, is a lubricant for ostomy pouches, simplifying the cleaning process and preventing clogging; ➂ Revel has received positive feedback from nurses and patients, and the company plans to apply the technology to prevent infections in implants and catheters, and to assist those with cystic fibrosis.

October 6

  • Modeling Relationships to Solve Complex Problems Efficiently
    ➀ Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing; ➁ His work focuses on finding the shortest path between objects in a network and detecting fraudulent transactions; ➂ Shun's algorithms leverage parallel computing to analyze massive graphs efficiently; ➃ He has developed user-friendly programming frameworks to facilitate efficient graph algorithm development; ➄ Shun's research includes clustering algorithms and dynamic graph algorithms for real-world applications.
    High-Performance Computing