China claims to develop world’s smallest and most energy-efficient transistor

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China claims to develop world’s smallest and most energy-efficient transistor
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Scientists in China have developed the world's smallest and most efficient transistor that could help build efficient data centers and AI chips in the future.

Researchers at Peking University in China have developed the world’s smallest and most energy-efficient transistors, which could power the artificial intelligence chips of the future. Called ferroelectric field-effect transistors , these chips mimic the workings of the human brain, making them powerful yet efficient.

Semiconductor-based chips have brought us a world where we can communicate across continents, play games with friends who are not in the same room, and have helped build the fastest supercomputers of the day. As technologies such as quantum computing are developed, the shortcomings of silicon chips are also coming to the fore. The recent explosion of AI, which requires processing tons of data, has shown how inefficient silicon-based computing is, as it consumes large amounts of electricity and generates significant waste heat. Why is computing inefficient?Conventional silicon-based semiconductor chips are designed to keep data storage and computation separate. This means data needs to be moved between these areas during complex computations, and time and energy are spent in this process. With increased demand for AI applications, chips now need to process more data than ever before. Using the conventional approach, scientists will need to build bigger chips that can also process information faster. An alternative approach is to bring the storage and processing centers together in a single location, much like the human brain, enabling savings in space and energy consumption. Translating ideas to realityThe idea of building chips that mimic the human brain has been around for a long time. FeFETs are prime candidates for such applications since their data storage and processing units are the same. However, writing and erasing to these transistors is energy-intensive. While modern logic circuits operate at voltages below 0.7V, FeFets have a relatively higher operating voltage of 1.5V. Scientists describe this as akin to pushing open a heavy door. Researchers, Qiu Chenguang of Peking University and Peng Lianmao at the Chinese Academy of Sciences, decided to overcome this hurdle with a new transistor structure. The researchers used advanced processing techniques to scale down the gate electrode to just one nanometer. For comparison, the width of a DNA molecule is two nanometers. So, the gate electrode needed to be made with atomic-scale precision. The restructured transistor facilitates the formation of an electric field across the ferroelectric layer, enabling operation at voltages as low as 0.6V. Thus, the nanoscale transistor also consumes about one-tenth the energy of FeFETs. In addition to lower energy consumption, the transistor also delivers high-speed operation with a response time as low as 1.6 nanoseconds. With the ability to deliver energy savings and faster computations, along with an extremely small footprint, the FeFETs developed by the Chinese researchers are expected to help shape the future of AI. Peking University has patented the process and design for these chips. Not only will this help us build energy-efficient data centers and high-performance chips, but it will also open the possibility of building node chips at the sub-1 nm scale, the researchers told the South China Morning Post.

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