Austin McDannald

According to our database, Austin McDannald authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Real-time experiment-theory closed-loop interaction for autonomous materials science.

Haotong Liang, Chuangye Wang, Heshan Yu, Dylan Kirsch, Rohit Pant, Austin McDannald, A. Gilad Kusne, Ji-Cheng Zhao, Ichiro Takeuchi

CoRR, 2024

2023

Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning.

A. Gilad Kusne, Austin McDannald, Brian DeCost

CoRR, 2023

Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping.

Felix Adams, Austin McDannald, Ichiro Takeuchi, A. Gilad Kusne

CoRR, 2023

2022

Scalable Multi-Agent Framework for Optimizing the Lab and Warehouse.

A. Gilad Kusne, Austin McDannald

CoRR, 2022

Benchmarking Active Learning Strategies for Materials Optimization and Discovery.

Alex Wang, Haotong Liang, Austin McDannald, Ichiro Takeuchi, A. Gilad Kusne

CoRR, 2022

A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation.

Logan Saar, Haotong Liang, Alex Wang, Austin McDannald, Efrain Rodriguez, Ichiro Takeuchi, A. Gilad Kusne

CoRR, 2022

2021

Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping.

A. Gilad Kusne, Austin McDannald, Brian L. DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi

CoRR, 2021