Article

A Physics-Inspired Classical Digital Twin of the Cell: A Composite Multi-Clock Port-Hamiltonian Neural Network Learned from Multi-Omic Circadian Data

2026-07-13

Abstract excerpt

We present a physics-inspired classical digital twin of the cell: a graph neural network constrained to a compartmental, multi-clock port-Hamiltonian form, with parameters learned from multi-omic measurements. The port-Hamiltonian structure is a modelling choice — it buys conservation, passivity and a clean separation of storage, routing and dissipation — not a claim about what a cell is. The state pairs each spec...

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Literature Corpus work: 2adc8d80-22aa-5d04-be65-9c8adadce450
DOI: 10.64898/2026.07.11.737972

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