A Novel Method to Analyze the Relationship between Thermoelectric Coefficient and Energy Disorder of Any Density of States in an Organic Semiconductor.

Dong Qin, Jiezhi Chen, Nianduan Lu

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Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Dong QinSchool of Information Science and Engineering, Shandong University, Qingdao 266237, China.

Jiezhi ChenSchool of Information Science and Engineering, Shandong University, Qingdao 266237, China.ORCID 0000-0003-2996-1406

Nianduan LuThe State key Lab of Fabrication Technologies for Integrated Circuits & Laboratory of Microelectronics Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.

Funding

the National Key R&D Program of China Grant Nos. 2018YFA0208503the National Natural Science Foundation of China Grant Nos. 61890944, 61725404,61874134, 61888102, 92264204, 62274178,61720106013, 61904195,and 62004214the Strategic Priority Research Program of Chinese Academy of Sciences Grant No. XDB30030000, XDB30030300

6 · The paper itself

Abstract

In this work, a unified method is proposed for analyzing the relationship between the Seebeck coefficient and the energy disorder of organic semiconductors at any multi-parameter density of states (DOS) to study carrier transport in disordered thermoelectric organic semiconductors and the physical meaning of improved DOS parameters. By introducing the Gibbs entropy, a new multi-parameter DOS and traditional Gaussian DOS are used to verify this method, and the simulated result of this method can well fit the experiment data obtained on three organic devices. In particular, the impact of DOS parameters on the Gibbs entropy can also influence the impact of the energy disorder on the Seebeck coefficient.

Indexed as

degree of disorderdensity of statesorganic semiconductorsSeebeck coefficient

Identifiers

PMID37630046

DOI10.3390/mi14081509

PMCPMC10456578

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.