journal article·2023-12

Roles of Low‐Dimensional Nanomaterials in Pursuing Human–Machine–Thing Natural Interaction

Xuan Zhao, Jingyue Xuan, Qi Li, Fangfang Gao, Xiaochen Xun, Qingliang Liao, Yue Zhang

Advanced Materials· Volume 35· Issue 50
Publisher page

Abstract

Abstract A wide variety of low‐dimensional nanomaterials with excellent properties can meet almost all the requirements of functional materials for information sensing, processing, and feedback devices. Low‐dimensional nanomaterials are becoming the star of hope on the road to pursuing human–machine–thing natural interactions, benefiting from the breakthroughs in precise preparation, performance regulation, structural design, and device construction in recent years. This review summarizes several types of low‐dimensional nanomaterials commonly used in human–machine–thing natural interactions and outlines the differences in properties and application areas of different materials. According to the sequence of information flow in the human–machine–thing interaction process, the representative research progress of low‐dimensional nanomaterials‐based information sensing, processing, and feedback devices is reviewed and the key roles played by low‐dimensional nanomaterials are discussed. Finally, the development trends and existing challenges of low‐dimensional nanomaterials in the field of human–machine–thing natural interaction technology are discussed.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Memory and Neural Computing · Gas Sensing Nanomaterials and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Academy for Advanced Interdisciplinary Science and Technology Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing Beijing 100083 P. R. China

Beijing Key Laboratory for Advanced Energy Materials and Technologies School of Materials Science and Engineering University of Science and Technology Beijing Beijing 100083 P. R. China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · China Postdoctoral Science Foundation

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