The team focused on Fe 5 GeTe 2, a novel 2D ferromagnetic material that retains its magnetic properties even at room temperature.

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Transition-metal oxyhydrides, composed of oxides and unique hydride anions, are rare and remarkable materials with significant potential applications in catalysis, battery technology, hydrogen storage ...

To this end, we proposed a temperature-based graph neural network model named TempGNN to provide system-level monitoring for WTs with the available supervisory control and data acquisition (SCADA) ...

To address this challenge, we proposed a multi-input-multioutput (MIMO) prediction model employing a spatial–temporal fusion approach. The model combined TCN with graph sampling and aggregation ...