Nanotwinned CrN ceramics with enhanced plasticity.

Ceramic materials are usually hard but brittle, and it is challenging to achieve a simultaneous enhancement of strength and plasticity using conventional strengthening methods. In ceramic materials with similar atomic size and properties, the fabrication of nanotwins is a promising approach to enhance the plasticity, but it is unknown whether the strategy works for transition metal nitrides. Herein, nanotwinned CrN (NT-CrN) with a twin density of 9.

Adhesive chitosan-based hybrid biohydrogels for peripheral nerve injury repair.

With the rapid progress of industrialization, the incidence of peripheral nerve injuries caused by trauma has been continuously increasing. These injuries result in a significant number of disabilities and irreversible functional impairments, not only severely impacting the health and quality of life of patients but also placing a heavy economic burden on families and society. Effectively promoting peripheral nerve regeneration has thus become a key focus and challenge in current research.

A few-shot identification method for stochastic dynamical systems based on residual multipeaks adaptive sampling.

Neural networks are popular data-driven modeling tools that come with high data collection costs. This paper proposes a residual-based multipeaks adaptive sampling (RMAS) algorithm, which can reduce the demand for a large number of samples in the identification of stochastic dynamical systems. Compared to classical residual-based sampling algorithms, the RMAS algorithm achieves higher system identification accuracy without relying on any hyperparameters.