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A. Gilad Kusne

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

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Nov 20, 2023
A. Gilad Kusne, Austin McDannald, Brian DeCost

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

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Jun 17, 2023
Felix Adams, Austin McDannald, Ichiro Takeuchi, A. Gilad Kusne

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Scalable Multi-Agent Framework for Optimizing the Lab and Warehouse

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Aug 19, 2022
A. Gilad Kusne, Austin McDannald

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

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Apr 13, 2022
Logan Saar, Haotong Liang, Alex Wang, Austin McDannald, Efrain Rodriguez, Ichiro Takeuchi, A. Gilad Kusne

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Benchmarking Active Learning Strategies for Materials Optimization and Discovery

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Apr 12, 2022
Alex Wang, Haotong Liang, Austin McDannald, Ichiro Takeuchi, A. Gilad Kusne

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

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Nov 15, 2021
A. Gilad Kusne, Austin McDannald, Brian DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi

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On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

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Jun 11, 2020
A. Gilad Kusne, Heshan Yu, Changming Wu, Huairuo Zhang, Jason Hattrick-Simpers, Brian DeCost, Suchismita Sarker, Corey Oses, Cormac Toher, Stefano Curtarolo, Albert V. Davydov, Ritesh Agarwal, Leonid A. Bendersky, Mo Li, Apurva Mehta, Ichiro Takeuchi

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CRYSPNet: Crystal Structure Predictions via Neural Network

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Mar 31, 2020
Haotong Liang, Valentin Stanev, A. Gilad Kusne, Ichiro Takeuchi

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Designing over uncertain outcomes with stochastic sampling Bayesian optimization

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Nov 05, 2019
Peter D. Tonner, Daniel V. Samarov, A. Gilad Kusne

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Unsupervised Phase Mapping of X-ray Diffraction Data by Nonnegative Matrix Factorization Integrated with Custom Clustering

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Feb 20, 2018
Valentin Stanev, Velimir V. Vesselinov, A. Gilad Kusne, Graham Antoszewski, Ichiro Takeuchi, Boian S. Alexandrov

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