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
2 Pith papers cite this work, alongside 16 external citations. Polarity classification is still indexing.
2
Pith papers citing it
16
external citations · external index
citation-role summary
baseline 1
citation-polarity summary
verdicts
UNVERDICTED 2roles
baseline 1polarities
baseline 1representative citing papers
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
-
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.
-
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.