5 papers
Hessian Matching for Machine-Learned Coarse-Grained Molecular Dynamics
Sanya Murdeshwar, Sanjit Shashi, Kevin Bachelor +3
Coarse-grained (CG) molecular dynamics enables simulations of atomic systems such as biomolecules at timescales inaccessible to all-atom (AA) methods, but existing CG neural potent…
Holographic generative flows with AdS/CFT
Ehsan Mirafzali, Sanjit Shashi, Sanya Murdeshwar +3
We present a framework for generative machine learning that leverages the holographic principle of quantum gravity, or to be more precise its manifestation as the anti-de Sitter/co…
Thermal effective actions from conformal boundary conditions in gravity
Batoul Banihashemi, Edgar Shaghoulian, Sanjit Shashi
Recent work has studied the thermodynamics of gravity subjected to conformal boundary conditions, where the trace of the extrinsic curvature and the conformal class of metrics…
Background ambiguity and the Gödel double copy
Brian Kent, Tucker Manton, Sanjit Shashi
In this work, we investigate the assumptions regarding spacetime backgrounds underlying the classical double copy. We argue (contrary to the norm) that single-copy fields naturally…
Flat space gravity at finite cutoff
Batoul Banihashemi, Edgar Shaghoulian, Sanjit Shashi
We study the thermodynamics of Einstein gravity with vanishing cosmological constant subjected to conformal boundary conditions. Our focus is on comparing the series of subextensiv…