Dylan Kirsch

Publications

A case study of multi-modal, multi-institutional data management for the combinatorial materials science community

March 22, 2024

Author(s)

Sarah Allec, Eric Muckley, Nathan Johnson, Christopher Borg, Dylan Kirsch, Joshua B. Martin, Ichiro Takeuchi, Andrew Lee, James Saal, Logan Ward, Apruva Mehta

Although the convergence of high-performance computing, automation, and machine learning has significantly altered the materials design timeline, transformative

The development of an augmented machine learning approach for the additive manufacturing of thermoelectric materials

February 28, 2024

Author(s)

Connor V. Headley, Roberto J. Herrera del Valle, Ji Ma, Prasanna Balachandran, Vijayabarathi Ponnambalam, Saniya LeBlanc, Dylan Kirsch, Joshua B. Martin

Through the integration of machine learning (ML) techniques alongside additive manufacturing (AM) experimentation, we demonstrate an iterative process to

High-throughput printing of combinatorial materials from aerosols

May 10, 2023

Author(s)

Minxiang Zeng, Yipu Du, Nicholas Kempf, Miles Bimrose, Jiahao Chen, Dylan Kirsch, Joshua B. Martin, Bowen Zhang, Tatsunori Hayashi, Mortaza Saeidi-Javash, Hirotaka Sakaue, Babak Anasori, Michael McMurtrey, Yanliang Zhang

The development of new materials and their compositional and microstructural optimization are essential in regard to next-generation technologies such as clean

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Dylan Kirsch (Fed)

Guest Researcher

Publications

A case study of multi-modal, multi-institutional data management for the combinatorial materials science community

The development of an augmented machine learning approach for the additive manufacturing of thermoelectric materials

High-throughput printing of combinatorial materials from aerosols