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Radio Physics | Joaquin Rodriguez Nieva

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Content provided by KDNK, Emily Taylor, and Sam Smart. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by KDNK, Emily Taylor, and Sam Smart 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://ro.player.fm/legal.
Joaquin Rodriguez Nieva is an Assistant Professor of Physics at Texas A&M University. He received his PhD from MIT, and was a postdoctoral fellow at Harvard University as well as Stanford University. His research is in quantum physics, quantum matter, and statistical physics. He studies emergent phenomena in complex systems. More specifically, his research involves developing theoretical frameworks at the interface between non-equilibrium statistical mechanics and quantum information that can be used to describe, understand and, ultimately, control novel dynamical behaviors.
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29 episoade

Artwork

Radio Physics | Joaquin Rodriguez Nieva

Radio Physics

38 subscribers

published

iconDistribuie
 
Manage episode 472377922 series 2406500
Content provided by KDNK, Emily Taylor, and Sam Smart. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by KDNK, Emily Taylor, and Sam Smart 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://ro.player.fm/legal.
Joaquin Rodriguez Nieva is an Assistant Professor of Physics at Texas A&M University. He received his PhD from MIT, and was a postdoctoral fellow at Harvard University as well as Stanford University. His research is in quantum physics, quantum matter, and statistical physics. He studies emergent phenomena in complex systems. More specifically, his research involves developing theoretical frameworks at the interface between non-equilibrium statistical mechanics and quantum information that can be used to describe, understand and, ultimately, control novel dynamical behaviors.
  continue reading

29 episoade

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