AI Learns the Rhythm of Maglev: New Neural Operator Predicts Levitation Gaps in a Flash
Researchers in Shanghai have developed a physics-guided neural operator that predicts the levitation air-gap response of EMS maglev trains far ...
Researchers in Shanghai have developed a physics-guided neural operator that predicts the levitation air-gap response of EMS maglev trains far ...
Researchers have released CD-CureNO, an open-source software package that wraps neural-operator surrogates for composite curing in a rigorous framework of ...
Researchers have developed a hybrid U-Net Transformer neural operator and an open-source simulation framework that significantly improves the speed and ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine