Author

Varun Shankar

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#machine learning Preprint Sep 2026

Decoding Extrahepatic Targeting of Lipid Nanoparticles with Interpretable Machine Learning

An interpretable machine learning framework is developed to predict hepatic versus extrahepatic LNP accumulation and identify molecular design rules for extrahepatic RNA delivery and provides actionable design principles for engineering LNPs beyond the liver.

Asal Mehradfar, M. Sepehri, Owen Antholine et al. · 0 citations

Preprint Jul 2026

Anisotropic representations for E(3)-equivariant machine learning coarse-grained potentials

A novel anisotropic machine learning CG potential is introduced that extends the point particle representation of atomic nuclei to massive ellipsoidal beads with orientation-dependent features, enabling the learning of energies, forces, and torques directly from atomistic data.

V. Shankar, Emil Annevelink · 0 citations