Taking inspiration from the human brain, neuromorphic systems uses the rich physics of materials and devices to process unstructured and noisy analogue data directly, leading to a fundamentally new approach to computation. 2D layered materials are among the most promising materials for future neuromorphic technology due to the  large variety of properties they offer, the possibility of being combined into functional structures and being chemically-converted while preserving their shape as well as the and the ease of integration with  existing semiconductors and fabrication lines.

Relevant papers:

High-accuracy inference using HfOxSy/HfS2 Memristors

https://arxiv.org/abs/2506.17174

Forming and compliance-free operation of low-energy, fast-switching HfOxSy/HfS2 memristors

https://pubs.rsc.org/en/content/articlelanding/2025/nh/d4nh00508b

Controlled Fabrication of Native Ultra-Thin Amorphous Gallium Oxide From 2D Gallium Sulfide for Emerging Electronic Applications

https://advanced.onlinelibrary.wiley.com/doi/10.1002/admi.202400481

Two-dimensional layered materials (such as graphene and transition metal dichalcogenides) can be deterministically stacked to form heterostructures. We develop methods to optimize the fabrication of such structures and use them for devices such as transistors and memristors.

 Relevant papers

Cleaning Interfaces in Layered Materials Heterostructures, Nature Communications 9:5387