Skip to main content
Climate
Search

Main navigation

  • Climate 101
    • What We Know
    • What Can Be Done
    • Climate Primer
  • Explore
    • Podcast
    • Explainers
    • Climate Questions
    • For Educators
  • MIT Action
    • News
    • Events
    • Resources
  • Search
MIT

Main navigation

  • Climate 101
    • What We Know
    • What Can Be Done
    • Climate Primer
  • Explore
    • Podcast
    • Explainers
    • Climate Questions
    • For Educators
  • MIT Action
    • News
    • Events
    • Resources
  • Search
PostApril 24, 2019

Check out the MIT Energy Initiative podcast with Professors Sadoway and Shao-Horn

Batteries and Storage

In this podcast, Bruce Gellerman from WBUR speaks with Prof. Donald Sadoway and Prof. Yang Shao-Horn. He says, "Today we’ll be pursuing the renewable and clean energy holy grail: storage. The ability to store solar, wind, and hydro energy and release it when the sun isn’t shining, the air is calm, and the water is still, promises to transform our electric power future. In this episode, we’ll explore the current state of storage technology, where it’s going, and how we’ll get there."

by MIT Department of Materials Science and Engineering - DMSE
Topics
Energy
Batteries, Storage & Transmission
Renewable Energy

Related Posts

PostAugust 18, 2026

Steady Heat, Flexible Power: Flexibility by Proxy in Nuclear-Thermal Energy...

MIT Center for Energy and Environmental Policy Research
rendering of energetic plasma
PostAugust 11, 2026

Researcher Profile: 3 questions with Jennifer Morris

MIT Center for Sustainability Science and Strategy
Jennifer Morris moderating a panel at the 48th Global Change Forum in March 2026 (Photo by Jamie Bartholomay)
PostAugust 6, 2026

A new way to watch heat move through electronics

MIT News
To measure how heat moves through materials, MIT researchers use laser pulses (red) to heat a sample while ultrafast X-rays (purple) penetrate multiple material layers and measure changes as heat dissipates.
PostAugust 4, 2026

Solving the solvent problem

MIT Department of Nuclear Science and Engineering
A machine-learning-guided pipeline enables researchers to generate solvent candidate pools on demand, narrow the selections down, and experimentally test the most promising electrolyte recipes. These scanning electron microscopy images show the morphology of sodium-metal deposits obtained from three different electrolyte candidates.

MIT Climate Knowledge in Your Inbox

 
 

MIT Groups Log In

Log In

Footer

  • About
  • Terms & Conditions
  • Privacy Policy
  • Accessibility
  • Contact
MIT Climate Project
MIT
  • Instagram
  • TikTok
  • YouTube
  • Simplecast
Communicator Award Winner
Communicator Award Winner