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AI-Designed Materials to Cool and Decarbonize Data Centers with Orbital

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Manage episode 485180532 series 2560422
Content provided by MCJ and An MCJ podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MCJ and An MCJ podcast 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://ppacc.player.fm/legal.

Jonathan Godwin is co-founder and CEO of Orbital Materials, an AI-first materials-engineering start-up. The company open-sourced Orb, a state-of-the-art simulation model, and now designs bespoke porous materials—its first aimed at cooling data-centres while capturing CO₂ or water. Jonathan shares how his DeepMind background shaped Orbital’s “design-before-experiment” approach, why the team chose data-center sustainability as a beachhead market, and what it takes to build a vertically integrated, AI-native industrial company. The conversation explores the future of faster, cheaper R&D, the role of advanced materials in decarbonization, and the leap from software to physical products.

In this episode, we cover:

  • [02:12] Johnny’s path from DeepMind to materials start-up
  • [04:02] Trial-and-error vs AI-driven design shift
  • [06:40] University/industry dynamics in materials R&D
  • [10:17] Generative agent plus simulation for rapid discovery
  • [13:01] Mitigating hallucinations with virtual experiments
  • [18:18] Choosing a “hero” product and vertical integration
  • [25:43] Dual-use chiller for cooling and CO₂ or water capture
  • [32:26] Partnering on manufacturing to stay asset-light
  • [35:58] Building an AI-native industrial giant of the future
  • [36:51]: Orbital’s investors

Episode recorded on April 30, 2025 (Published on May 27, 2025)

Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at [email protected].

Connect with MCJ:

*Editing and post-production work for this episode was provided by The Podcast Consultant

  continue reading

558 episodes

Artwork
iconShare
 
Manage episode 485180532 series 2560422
Content provided by MCJ and An MCJ podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MCJ and An MCJ podcast 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://ppacc.player.fm/legal.

Jonathan Godwin is co-founder and CEO of Orbital Materials, an AI-first materials-engineering start-up. The company open-sourced Orb, a state-of-the-art simulation model, and now designs bespoke porous materials—its first aimed at cooling data-centres while capturing CO₂ or water. Jonathan shares how his DeepMind background shaped Orbital’s “design-before-experiment” approach, why the team chose data-center sustainability as a beachhead market, and what it takes to build a vertically integrated, AI-native industrial company. The conversation explores the future of faster, cheaper R&D, the role of advanced materials in decarbonization, and the leap from software to physical products.

In this episode, we cover:

  • [02:12] Johnny’s path from DeepMind to materials start-up
  • [04:02] Trial-and-error vs AI-driven design shift
  • [06:40] University/industry dynamics in materials R&D
  • [10:17] Generative agent plus simulation for rapid discovery
  • [13:01] Mitigating hallucinations with virtual experiments
  • [18:18] Choosing a “hero” product and vertical integration
  • [25:43] Dual-use chiller for cooling and CO₂ or water capture
  • [32:26] Partnering on manufacturing to stay asset-light
  • [35:58] Building an AI-native industrial giant of the future
  • [36:51]: Orbital’s investors

Episode recorded on April 30, 2025 (Published on May 27, 2025)

Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at [email protected].

Connect with MCJ:

*Editing and post-production work for this episode was provided by The Podcast Consultant

  continue reading

558 episodes

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