Smart Cellulose‑Based Janus Fabrics with Switchable Liquid Transportation for Personal Moisture and Thermal Management

The Janus fabrics designed for personal moisture/thermal regulation have garnered significant attention for their potential to enhance human comfort.However,the development of smart and dynamic fabrics capable of managing personal moisture/thermal comfort in response to changing external environments remains a challenge.Herein,a smart cellulose-based Janus fabric was designed to dynamically manage personal moisture/heat.The cotton fabric was grafted with N-isopropylacrylamide to construct a temperature-stimulated transport channel.Subsequently,hydrophobic ethyl cellulose and hydrophilic cellulose nanofiber were sprayed on the bottom and top sides of the fabric to obtain wettability gradient.The fabric exhibits anti-gravity directional liquid transportation from hydrophobic side to hydrophilic side,and can dynamically and continuously control the transportation time in a wide range of 3–66 s as the temperature increases from 10 to 40℃.This smart fabric can quickly dissipate heat at high temperatures,while at low temperatures,it can slow down the heat dissipation rate and prevent the human from becoming too cold.In addition,the fabric has UV shielding and photodynamic antibacterial properties through depositing graphitic carbon nitride nanosheets on the hydrophilic side.This smart fabric offers an innovative approach to maximizing personal comfort in environments with significant temperature variations.

Easily-manufactured paper-based materials with high porosity for adsorption/separation applications in complex wastewater

A multi-functional porous paper-based material was prepared from grass pulp by simple pore-forming and green cross-linking method.As a pore-forming agent,calcium citrate increased the porosity of the paper-based material from 30%to 69%while retaining the mechanical strength.The covalent cross-linking of citric acid between cellulose fibers improved both the wet strength and adsorption capacity.In addition,owing to the introduction of high-content carboxyl groups as well as the construction of hierarchical micro-nano structure,the underwater oil contact angle was up to 165°.The separation efficiency of the emulsified oil was 99.3%,and the water flux was up to 2020 L·m^(–2)·h^(–1).The theoretical maximum adsorption capacities of cadmium ion,lead ion and methylene blue reached 136,229 and 128.9 mg·g^(–1),respectively.The continuous purification of complex wastewater can be achieved by using paper-based materials combined with filtration technology.This work provides a simple,low cost and environmental approach for the treatment of complex wastewater containing insoluble oil,organic dyes,and heavy metal ions.

Classification and Prediction of Skyrmion Material Based on Machine Learning

The discovery and study of skyrmion materials play an important role in basic frontier physics research and future information technology.The database of 196 materials,including 64 skyrmions,was established and predicted based on machine learning.A variety of intrinsic features are classified to optimize the model,and more than a dozen methods had been used to estimate the existence of skyrmion in magnetic materials,such as support vector machines,k-nearest neighbor,and ensembles of trees.It is found that magnetic materials can be more accurately divided into skyrmion and non-skyrmion classes by using the classification of electronic layer.Note that the rare earths are the key elements affecting the production of skyrmion.The accuracy and reliability of random undersampling bagged trees were 87.5%and 0.89,respectively,which have the potential to build a reliable machine learning model from small data.The existence of skyrmions in LaBaMnO is predicted by the trained model and verified by micromagnetic theory and experiments.