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SUMMARY:Leopoldo Sarra (Axiomatic AI)
DTSTART:20260119T160000Z
DTEND:20260119T163000Z
DTSTAMP:20260420T024855Z
UID:LT2026/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/LT2026/4/">T
 owards autoformalization for physics and engineering with Lean</a>\nby Leo
 poldo Sarra (Axiomatic AI) as part of Lean Together 2026\n\n\nAbstract\nWe
  strive to bring formal methods and interactive theorem provers like Lean 
 4 to the broader scientific community beyond mathematics. To ease its adop
 tion\, we are building reusable Lean libraries that formalize areas of sci
 ence using the main concepts that scientists and engineers actually apply 
 in practice\, such as dimensional analysis\, tolerances\, and approximatio
 ns.\n\nWe begin with physics domains that have a strong mathematical groun
 ding\, like quantum mechanics\, where we validate the correctness of the l
 ibraries on real use cases and problem sets (e. g. 700 problems from Galit
 ski et. al. 2013) to ensure their practical relevance and adoptability.\n\
 nFinally\, we are developing autoformalization AI agents to further boost 
 the adoption of formal methods in science and engineering. These agents wi
 ll have access to the libraries we build\, as well as Mathlib\, enabling t
 hem to help formalize real-world problems together with their proposed sol
 utions in the form of theorems. This allows us to certify the validity of 
 a given solution by converting it into a formal theorem and proving it thr
 ough our prover AI agents.\n
LOCATION:https://researchseminars.org/talk/LT2026/4/
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