The Solution is the Solution: Data-Driven Elucidation of Solution-to-Device Feature Transfer for π-Conjugated Polymer...

Area of Science:

• Materials Science
• Data Science
• Organic Electronics

Background:

• Organic semiconductors are crucial for electronic devices.
• Controlling thin-film morphology is a major challenge in development.
• Data analytics and materials informatics offer new solutions.

Purpose of the Study:

• To outline a comprehensive informatics methodology for polymer-based organic semiconductor development.
• To enhance the efficiency of high-throughput experimentation (HTE).
• To establish new process-structure-property relationships using data-centric tools.

Main Methods:

• Combining high-throughput experimentation (HTE) with data analytics.
• Investigating the solution state prior to thin-film deposition.
• Detailed thin-film characterization.
• Applying data-driven approaches to understand physicochemical mechanisms.

Main Results:

• The proposed informatics methodology facilitates traversal of tunable variables in organic semiconductor thin films.
• Understanding solution-state properties informs efficient HTE and data collection.
• Data-centric tools enable the construction of new process-structure-property relationships.

Conclusions:

• Integrating informatics with HTE accelerates the discovery and development of organic semiconductors.
• Detailed investigation of solution and thin-film states deepens understanding of performance-influencing mechanisms.
• Data-driven approaches provide predictive capabilities for π-conjugated polymer electronics.