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NCE研究文章|从原子模拟中设计具有超快神经形态特征的极性纹理

20 6月 2023 gabriels

This review summarizes recent works, all using a specific atomistic approach, that predict and explain the occurrence of key features for neuromorphic computing in three archetypical dipolar materials, when they are subject to THz excitations. The main ideas behind such atomistic approach are provided, and illustration of model relaxor ferroelectrics, antiferroelectrics, and normal ferroelectrics are given, highlighting the important potential of polar materials as candidates for neuromorphic computing. Some peculiar emphases are made in this Review, such as the connection between neuromorphic features and percolation theory, local minima in energy path, topological transitions and/or anharmonic oscillator model, depending on the material under investigation. By considering three different and main polar material families, this work provides a complete and innovative toolbox for designing polar-based neuromorphic systems.

文章介绍

Designing polar textures with ultrafast neuromorphic features from atomistic simulations

Sergey Prosandeev, Sergei Prokhorenko, Yousra Nahas, Yali Yang, Changsong Xu, Julie Grollier, Diyar Talbayev, Brahim Dkhil and L Bellaiche

通讯作者：

Sergey Prosandeev，美国阿肯色大学

期刊介绍

Neuromorphic Computing and Engineering

Neuromorphic Computing and Engineering（NCE）是一本涵盖多个学科领域、采用开放获取（OA）形式出版的期刊。NCE期刊将神经形态系统的硬件和计算方面结合在一起，读者群覆盖工程、材料科学、物理、化学、生物学、神经科学和计算机科学等领域，跨越学术界和产业界的各个群体。在NCE期刊上发表的研究需针对神经形态系统和人工神经网络领域做出及时而重要的贡献。