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对基于/的纳米材料用于神经形态计算的观点

Yuxi Chen^1,2, Jiajia Zha³, Haoxin Huang³

¹College of Integrated Circuits and Optoelectronic Chips, Shenzhen Technology University, Shenzhen 518118, China.

ACS applied materials & interfaces

|December 2, 2025

概括

和等范德瓦尔斯材料为节能的神经形态计算提供了新的可能性. 它们的独特特性模仿生物突触,克服了当前人工智能和机器学习技术的局限性.

科学领域:

材料科学材料科学材料科学
计算机工程计算机工程
神经科学是一个神经科学.

背景情况:

·诺伊曼架构面临着数据传输效率低下的问题,限制了人工智能,机器学习和实时处理.
由大脑启发的神经形态计算,旨在适应性学习硬件,但面临着基于CMOS的系统的挑战.
现有的系统具有有限的动态范围和高的操作电压,阻碍了实际应用.

研究的目的:

介绍突触行为和神经形态计算的基本原理.
为突出 (Te) 和 (Se) 纳米材料用于突触器件的独特特性.
讨论基于Te/Se的神经形态计算的进展和未来的机会.

主要方法:

对突触行为原理和神经形态计算概念的审查.
分析Te/Se纳米材料的电子和光电子特性.
讨论基于Te/Se的memristor,异构结构和突触晶体管的近期发展.

主要成果:

Te/Se纳米材料具有独特的特性,如高载体流动性,宽带光响应和多刺激合.
这些特性提供了与生物突触的物理类比,使有效的神经形态功能成为可能.
基于Te/Se的设备的进步表明了克服传统计算架构的局限性的潜力.

结论:

范德瓦尔斯材料对下一代神经形态设备非常有前途.
这些材料为克服人工智能和计算领域的速度和能源效率瓶提供了一条途径.
对基于Te/Se的设备的进一步研究对神经形态工程的未来具有重大潜力.

关键词:

神经形态计算是一种神经形态计算.是一种.突触器件是突触器件中的一个.电是电中的一种.范德瓦尔斯的异构结构是异构结构.

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