Skip to content

JHUAPL/PACMANs

Repository files navigation

The Physics-informed AI Climate Model Agent Neuro-symbolic Simulator (PACMANS) for Tipping Point Discovery

Description

This repository contains the source code which supports the DARPA AI-assisted Climate Tipping-point Modeling (ACTM) program.

Team

Authors of this repository include researchers from the Applied Physics Laboratory and from Johns Hopkins University.

  • Jennifer Sleeman (JHU/APL) (PI)
  • Jay Brett (JHU/APL)
  • Anand Gnanadesikan (JHU) (CO-PI)
  • Yannis Kevrekidis (JHU) (CO-PI)
  • Anshu Saksena (JHU/APL)
  • Chace Ashcraft (JHU/APL)
  • David Chung (JHU/APL)
  • Larry White (JHU/APL)
  • Thomas Haine (JHU)
  • Marie-Aude Pradal (JHU)
  • Renske Gelderloos (JHU)

Contact

If you have any questions pertaining to this repository, please contact Jennifer Sleeman (jennifer.sleeman at jhuapl dot edu).

Approved for public release; distribution is unlimited. This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Agreement No. HR00112290032.