See upcoming programs: www.ipam.ucla.edu
#puremathematics #appliedmathematics
See upcoming programs: www.ipam.ucla.edu
#puremathematics #appliedmathematics
Explore our upcoming programs: www.IPAM.UCLA.edu
#puremathematics #appliedmathematics
Explore our upcoming programs: www.IPAM.UCLA.edu
#puremathematics #appliedmathematics
Long Program: Multi-Fidelity Methods for Fusion Energy
📅 March 9 – June 12, 2026
Deadline for core participation: October 9, 2025
Apply: lnkd.in/dhGYzfgK
Webinar recording: lnkd.in/gBnYAV_2
Long Program: Multi-Fidelity Methods for Fusion Energy
📅 March 9 – June 12, 2026
Deadline for core participation: October 9, 2025
Apply: lnkd.in/dhGYzfgK
Webinar recording: lnkd.in/gBnYAV_2
The week zoomed in to interactions of dual layers of molecules, special attention to lithium ion batteries. Hongbo Zhao of UC San Diego, began by sharing some kind words about watching IPAM.
The week zoomed in to interactions of dual layers of molecules, special attention to lithium ion batteries. Hongbo Zhao of UC San Diego, began by sharing some kind words about watching IPAM.
Read more: lnkd.in/gFTuydvG
Watch: lnkd.in/gdY5kske
#UCLA #AppliedMathematics #PureMathematics
Read more: lnkd.in/gFTuydvG
Watch: lnkd.in/gdY5kske
#UCLA #AppliedMathematics #PureMathematics
Learn more: lnkd.in/gW4HwQ3t
Learn more: lnkd.in/gW4HwQ3t
Our long program Multi-Fidelity Methods for Fusion Energy (Mar 9–Jun 12, 2026) will bring together researchers in plasma physics, data-driven modeling, and fusion design.
Deadline: Oct 9, 2025
Apply: lnkd.in/dhGYzfgK
Info session: lnkd.in/gBnYAV_2
Our long program Multi-Fidelity Methods for Fusion Energy (Mar 9–Jun 12, 2026) will bring together researchers in plasma physics, data-driven modeling, and fusion design.
Deadline: Oct 9, 2025
Apply: lnkd.in/dhGYzfgK
Info session: lnkd.in/gBnYAV_2
Physicists worked with ML in a 12-week program with Steve Brunton, Yann LeCun, and Frank Noe. It inspired new workshops at IPAM at UCLA exploring how natural organization can inform ML algorithms. Check out upcoming workshops: www.IPAM.UCLA.edu
Physicists worked with ML in a 12-week program with Steve Brunton, Yann LeCun, and Frank Noe. It inspired new workshops at IPAM at UCLA exploring how natural organization can inform ML algorithms. Check out upcoming workshops: www.IPAM.UCLA.edu
More: www.ipam.ucla.edu/programs/spe...
More: www.ipam.ucla.edu/programs/spe...
Dakota (team aerospace) & Renee (team google) share the nervous hustle of Midterm Presentations.
9 teams presented 30‑min research updates to peers & advisors—now have 4 weeks to refine before final presentations in August!
Learn more: www.IPAM.UCLA.edu/RIPS
Dakota (team aerospace) & Renee (team google) share the nervous hustle of Midterm Presentations.
9 teams presented 30‑min research updates to peers & advisors—now have 4 weeks to refine before final presentations in August!
Learn more: www.IPAM.UCLA.edu/RIPS
Learn more about IPAM’s student research programs:
www.ipam.ucla.edu/programs/stu...
Learn more about IPAM’s student research programs:
www.ipam.ucla.edu/programs/stu...
IPAM at UCLA hosted "Sampling, Inference, and Data-Driven Physical Modeling in Scientific Machine Learning" last week. Lectures on generative modeling and techniques for inverse/forward problems.
Watch and share from: lnkd.in/ge5Yucku
IPAM at UCLA hosted "Sampling, Inference, and Data-Driven Physical Modeling in Scientific Machine Learning" last week. Lectures on generative modeling and techniques for inverse/forward problems.
Watch and share from: lnkd.in/ge5Yucku
To our community of problem solvers, researchers, and thinkers: may your day be filled with curiosity, connection & care.
To our community of problem solvers, researchers, and thinkers: may your day be filled with curiosity, connection & care.