Academic Background With the rapid development of artificial intelligence (AI), the role of electronic devices in modern life has become increasingly important. However, these devices generate a significant amount of heat during operation, and if not managed effectively, this can lead to performance degradation, shortened lifespan, and even system ...

Roller-Cam-Driven Compressive Elastocaloric Device: A Breakthrough in High Cooling Power Density Academic Background With the intensification of global climate change, traditional vapor compression (VC) refrigeration technology has faced increasing criticism due to its use of refrigerants such as hydrofluorocarbons (HFCs), which have a high global ...

Inferring Phase Transitions and Critical Exponents from Limited Observations with Thermodynamic Maps Academic Background Phase transitions are ubiquitous phenomena in nature, ranging from the boiling of water to the ferromagnetic-paramagnetic transition in magnetic materials, and even to conformational changes in biomolecules such as proteins and n...

In recent years, fuel cells, as a clean and renewable energy technology, have garnered widespread attention. However, the extensive application of fuel cells faces the challenge of the stability of oxygen reduction reaction (ORR) electrocatalysts. L10-structured intermetallic nanocrystals (INCs) with chemically ordered structures, due to their lowe...

This research proposes an online learning method for efficiently constructing surrogate models that can accurately emulate complex systems. The method consists of three key components: Sampling strategy for generating new training and testing data; Learning strategy for generating candidate surrogate models based on the training data; Validation me...