Gas Sensors Based on Polymer Field-Effect Transistors

This review focuses on polymer field-effect transistor (PFET) based gas sensor with polymer as the sensing layer, which interacts with gas analyte and thus induces the change of source-drain current (ΔISD). Dependent on the sensing layer which can be semiconducting polymer, dielectric layer or conducting polymer gate, the PFET sensors can be subdivided into three types. For each type of sensor, we present the molecular structure of sensing polymer, the gas analyte and the sensing performance. Most importantly, we summarize various analyte–polymer interactions, which help to understand the sensing mechanism in the PFET sensors and can provide possible approaches for the sensor fabrication in the future

Analysis of Influencing Factors on Air-Stable Organic Field-Effect Transistors (OFETs)

The primary emphasis in this paper is on the major developments in the field of air-stable organic field-effect transistors (OFETs) over the past 20 years. The studies about the factors influencing the stability of OFETs, including air, humidity, oxygen and temperature, are reviewed and analyzed. The possible mechanisms that result in the degradation of OFETs, such as the penetrating of H2O molecules, the doping effect of oxygen or the crystalline structure difference caused by temperature, are summarized. At same time, the reason why the field-effect mobility and the on/off current ratio of the transistor might change greatly with different ambient is concluded. The overall lives of OFET-based sensor in the detection of hazardous gases including nitrogen dioxide and ammonia are discussed, several breakthrough findings and technologies about how to solve the problem of instability of OFETs are also presented. DOI: http://dx.doi.org/10.5755/j01.ms.24.2.18197</p

Research on the strategy of knowledge sharing among logistics enterprises under the goal of digital transformation

Accelerating the digital transformation of the traditional logistics industry is an important step toward the high-quality development of China's economy, a fundamental task to ensure the smooth operation of the entire industrial chain, and a necessary path to building the Digital-China. Carrying out knowledge sharing can help promote knowledge integration and absorption among logistics enterprises, optimize the allocation of enterprise resources and enhance their business capabilities. To explore the knowledge sharing strategy selection mechanism of logistics enterprises in the process of digital transformation, this paper establishes a dynamic game model of knowledge sharing among logistics enterprises based on evolutionary game theory, and further demonstrates the reliability of the model by combining enterprise data with Matlab2022a for case analysis. The results show that: (1) the higher the cost of knowledge sharing in the digital transformation of logistics, the lower the willingness of enterprises to share; (2) when a single enterprise provides too much knowledge, it may trigger the breach of trust of the other party to “hitchhiking”; (3) appropriately increasing the amount of penalty for breach of trust helps promote both parties to reach a knowledge sharing strategy; (4) The benefit distribution coefficient significantly affects the knowledge sharing strategies of both parties, and a reasonable benefit distribution coefficient can prompt both parties to reach a stable strategy quickly; (5) Government financial incentives positively promote enterprises' willingness to share knowledge, and both parties can obtain higher revenue when a sharing strategy is reached. Thus, this paper explores the knowledge sharing strategy and evolution mechanism in the process of digital transformation of the logistics industry from the micro perspective of enterprises, which is of great practical significance and reference value