Large Science Models (LSM):
Collaborative Acceleration Via Digital Twins
Ishanu Chattopadhyay, PhD
Assistant Professor
University of Chicago
ishanu@uchicago.edu
Large Science Models (LSMs)
Digital Twins (Teomims) of Complex Systems:
Expanding the Scientific Method:
Nicholas Sizemore et al. ,A digital twin of the infant microbiome to predict neurodevelopmental deficits.Sci. Adv.10,eadj0400(2024).DOI:10.1126/sciadv.adj0400
Assuming a 1000 species ecosystem, and 1 successful experiment every day to discern a single two-way relationship, we would need 1,368 years to go through all possibilities. If we look for 3 way interactions, we would need 454,844 years
E=MC\(^2\)
Complex systems have irreducible complexity.
Generative models of complex systems must have complex structure, which can be only recovered vi AI-leveraged methods
Large Science Models (LSM):
The Quasinet Framework
The intrinsic distance:
A view of a Complex Systems as Interacting Q-fields
This requires us to specify the Lagrangian
Large Science Models (LSM):
Collaborative Acceleration Via Digital Twins
Large Science Models (LSMs)
Digital Twins (Teomims) of Complex Systems:
Expanding the Scientific Method:
Nicholas Sizemore et al. ,A digital twin of the infant microbiome to predict neurodevelopmental deficits.Sci. Adv.10,eadj0400(2024).DOI:10.1126/sciadv.adj0400
Assuming a 1000 species ecosystem, and 1 successful experiment every day to discern a single two-way relationship, we would need 1,368 years to go through all possibilities. If we look for 3 way interactions, we would need 454,844 years
Complex systems have irreducible complexity.
Generative models of complex systems must have complex structure, which can be only recovered vi AI-leveraged methods