2,122 research outputs found
Methodology for designing accelerated aging tests for predicting life of photovoltaic arrays
A methodology for designing aging tests in which life prediction was paramount was developed. The methodology builds upon experience with regard to aging behavior in those material classes which are expected to be utilized as encapsulant elements, viz., glasses and polymers, and upon experience with the design of aging tests. The experiences were reviewed, and results are discussed in detail
Data-based Polymer-Unit Fingerprint (PUFp): A Newly Accessible Expression of Polymer Organic Semiconductors for Machine Learning
In the process of finding high-performance organic semiconductors (OSCs), it
is of paramount importance in material development to identify important
functional units that play key roles in material performance and subsequently
establish substructure-property relationships. Herein, we describe a
polymer-unit fingerprint (PUFp) generation framework. Machine learning (ML)
models can be used to determine structure-mobility relationships by using PUFp
information as structural input with 678 pieces of collected OSC data. A
polymer-unit library consisting of 445 units is constructed, and the key
polymer units for the mobility of OSCs are identified. By investigating the
combinations of polymer units with mobility performance, a scheme for designing
polymer OSC materials by combining ML approaches and PUFp information is
proposed to not only passively predict OSC mobility but also actively provide
structural guidance for new high-mobility OSC material design. The proposed
scheme demonstrates the ability to screen new materials through pre-evaluation
and classification ML steps and is an alternative methodology for applying ML
in new high-mobility OSC discovery.Comment: 42 pages, 13 figure
2008 - The Thirteenth Annual Symposium of Student Scholars
The full program book from the Thirteenth Annual Symposium of Student Scholars, held on April 14, 2008. Includes abstracts from the presentations and posters.https://digitalcommons.kennesaw.edu/sssprograms/1007/thumbnail.jp
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