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Physics-Informed Bayesian learning of electrohydrodynamic polymer jet printing dynamics - Communications Engineering

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Physics-Informed Bayesian learning of electrohydrodynamic polymer jet printing dynamics - Communications Engineering

Calibration of highly dynamic multi-physics manufacturing processes such as electrohydrodynamics-based additive manufacturing (AM) technologies (E-jet printing) is still performed by labor-intensive trial-and-error practices. Such practices have hindered the broad adoption of these technologies, demanding a new paradigm of self-calibrating E-jet printing machines.

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Physics-Informed Bayesian learning of electrohydrodynamic polymer jet printing dynamics - Communications Engineering

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Physics-Informed Bayesian learning of electrohydrodynamic polymer jet printing dynamics - Communications Engineering

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