Pages that link to "Item:Q6097615"
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The following pages link to A machine-learning digital-twin for rapid large-scale solar-thermal energy system design (Q6097615):
Displaying 7 items.
- A super-real-time three-dimension computing method of digital twins in space nuclear power (Q6194214) (← links)
- A digital-twin and rapid optimization framework for optical design of indoor farming systems (Q6584858) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
- A machine-learning enabled digital-twin framework for next generation precision agriculture and forestry (Q6609758) (← links)
- A machine-learning enabled digital-twin framework for the rapid design of satellite constellations for ``Planet-X'' (Q6661928) (← links)
- Uncertainty quantification of 3D acoustic shape sensitivities with generalized \(n\)th-order perturbation boundary element methods (Q6663261) (← links)
- A physical-information-flow-constrained temporal graph neural network-based simulator for granular materials (Q6669023) (← links)
