A 3D multi-physics digital twin of a thermomagnetic generator, validated to 95-96% accuracy, identifies energy losses via Sankey diagrams and heat flow limits on cycle frequency.
Topological alternation from st ructurally adaptable to mechanically stable crosslinked polymer
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NIMS-OS is an open-source Python framework that orchestrates AI modules (Bayesian optimization, phase diagram construction) with robotic hardware (NAREE) to enable autonomous closed-loop materials exploration.
citing papers explorer
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Understanding Energy Flow and Inefficiency of a Thermomagnetic Generator by Transient Multi-Physics Modelling
A 3D multi-physics digital twin of a thermomagnetic generator, validated to 95-96% accuracy, identifies energy losses via Sankey diagrams and heat flow limits on cycle frequency.
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NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
NIMS-OS is an open-source Python framework that orchestrates AI modules (Bayesian optimization, phase diagram construction) with robotic hardware (NAREE) to enable autonomous closed-loop materials exploration.