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Author

Sukriti Manna

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Open access Sep 2026

Symbolic ensemble learning enables discovery of fast accurate physics-based interatomic potentials

A hybrid symbolic-neural framework is introduced that unifies the interpretability of the Embedded Atom Method with the adaptability of data-driven learning, and derives a composite potential that surpasses the fidelity of its constituent models.

Bilvin Varughese, Aditya Koneru, Adil Muhammad et al. · 0 citations
Preprint Aug 2026

AutoMOOSE: Use Case and Logical Views of Agentic Phase-Field Simulation Software

This work deploys AutoMOOSE as a agentic software, complementing the prior work which focused on development of the agentic tool, and describes its software framework and architecture through Use Case and logical views of the 1+5 architectural-views model.

Sukriti Manna, Henry Chan, Subramanian K. R. S. Sankaranarayanan · 0 citations

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