In the era of artificial intelligence(AI),the demand for data storage and processing continues to grow at an astonishing rate.The von Neumann computing paradigm,which separates memory and computing units,faces a criti...In the era of artificial intelligence(AI),the demand for data storage and processing continues to grow at an astonishing rate.The von Neumann computing paradigm,which separates memory and computing units,faces a critical bottleneck in data transfer,especially when handling massive datasets.Neuromorphic computing[1]offers a promising alternative by integrating storage and computation into the same unit,thereby significantly improving energy efficiency.Among the emerging materials for this technology,chalcogenide phase-change materials(PCMs)are particularly promising[2,3].These materials exploit the pronounced electrical contrast between their amorphous and crystalline phases to encode information.展开更多
基金supported by the National Science and Technology Major Project of China(2022ZD0117600)。
文摘In the era of artificial intelligence(AI),the demand for data storage and processing continues to grow at an astonishing rate.The von Neumann computing paradigm,which separates memory and computing units,faces a critical bottleneck in data transfer,especially when handling massive datasets.Neuromorphic computing[1]offers a promising alternative by integrating storage and computation into the same unit,thereby significantly improving energy efficiency.Among the emerging materials for this technology,chalcogenide phase-change materials(PCMs)are particularly promising[2,3].These materials exploit the pronounced electrical contrast between their amorphous and crystalline phases to encode information.
