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How A.I. is Being Used to Develop Tougher Composite Materials

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Manage episode 412041468 series 1187542
Content provided by Jonathan Taylor. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jonathan Taylor or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On this episode, Markus Beuler, McAfee Professor of Engineering at MIT joins me to discuss how they are using machine learning to create stronger materials.

For engineers developing new materials, there are billions of different possibilities to sort through. Lab tests & detailed computer simulations to determine their exact properties can take hours, and even days for each variation.

Now, a new artificial intelligence-based approach developed at MIT could reduce that to milliseconds.

Markus discusses their new course on Predictive Multiscale Materials Design. In this course, you will enhance your ability to leverage materials design, machine learning, and additive manufacturing to create better materials.

This course will take place June 3-7 at MIT. You can register at: https://professional.mit.edu/course-catalog/predictive-multiscale-materials-design

The post How A.I. is Being Used to Develop Tougher Composite Materials first appeared on Composites Weekly.

The post How A.I. is Being Used to Develop Tougher Composite Materials appeared first on Composites Weekly.

  continue reading

15 episodes

Artwork
iconShare
 
Manage episode 412041468 series 1187542
Content provided by Jonathan Taylor. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jonathan Taylor or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On this episode, Markus Beuler, McAfee Professor of Engineering at MIT joins me to discuss how they are using machine learning to create stronger materials.

For engineers developing new materials, there are billions of different possibilities to sort through. Lab tests & detailed computer simulations to determine their exact properties can take hours, and even days for each variation.

Now, a new artificial intelligence-based approach developed at MIT could reduce that to milliseconds.

Markus discusses their new course on Predictive Multiscale Materials Design. In this course, you will enhance your ability to leverage materials design, machine learning, and additive manufacturing to create better materials.

This course will take place June 3-7 at MIT. You can register at: https://professional.mit.edu/course-catalog/predictive-multiscale-materials-design

The post How A.I. is Being Used to Develop Tougher Composite Materials first appeared on Composites Weekly.

The post How A.I. is Being Used to Develop Tougher Composite Materials appeared first on Composites Weekly.

  continue reading

15 episodes

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