A Gilad Kusne
University of Maryland, Baltimore
H-index: 23
North America-United States
Top articles of A Gilad Kusne
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Human-in-the-loop for Bayesian autonomous materials phase mapping | Matter | Felix Adams Austin McDannald Ichiro Takeuchi A Gilad Kusne | 2024/2/7 |
Artificial Intelligence for Materials | Debra J Audus Kamal Choudhary Brian L DeCost A Gilad Kusne Francesca Tavazza | 2023 | |
AI for Materials | Debra Audus Kamal Choudhary Brian DeCost A Gilad Kusne Francesca Tavazza | 2023/4/25 | |
Live Autonomous Beamline Experiments: Physics In the Loop | A Gilad Kusne Austin McDannald Ichiro Takeuchi | 2023/12/14 | |
Semi and Self Supervised approaches to Space Group and Bravais Lattice Determination | APS March Meeting Abstracts | William Ratcliff Satvik Lolla Ichiro Takeuchi Aaron Kusne Haotong Liang | 2023 |
ANDiE the Autonomous Neutron Diffraction Explorer | Neutron News | Austin McDannald Matthias D Frontzek Andrei T Savici Mathieu Doucet Efrain E Rodriguez | 2023/4/3 |
Learning material synthesis-structure-property relationship by data fusion: Bayesian Co-regionalization N-Dimensional Piecewise Function Learning | arXiv preprint arXiv:2311.06228 | A Gilad Kusne Austin McDannald Brian DeCost | 2023/11/10 |
aflow plus plus: AC plus plus framework for autonomous materials design | COMPUTATIONAL MATERIALS SCIENCE | Corey Oses Marco Esters David Hicks Simon Divilov Hagen Eckert | 2023/1/25 |
Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning | arXiv e-prints | A Gilad Kusne Austin McDannald Brian DeCost | 2023/11 |
aflow++: A C++ framework for autonomous materials design | Computational Materials Science | Corey Oses Marco Esters David Hicks Simon Divilov Hagen Eckert | 2023/1/25 |
Scalable multi-agent lab framework for lab optimization | Matter | A Gilad Kusne Austin McDannald | 2023/6/7 |
Autonomous Materials Science | APS March Meeting Abstracts | Aaron Kusne | 2023 |
A framework for materials informatics education through workshops | Arun Mannodi-Kanakkithodi Austin McDannald Shijing Sun Saaketh Desai Keith A Brown | 2023/5 | |
Scalable Multi-Agent Framework for Optimizing the Lab and Warehouse. | arXiv e-prints | A Gilad Kusne Austin McDannald | 2022/8 |
The LEGOLAS Kit: 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 | 2022/9 | |
Teaching machine learning to materials scientists: Lessons from hosting tutorials and competitions | Matter | Shijing Sun Keith Brown A Gilad Kusne | 2022/6/1 |
Benchmarking active learning strategies for materials optimization and discovery | Oxford Open Materials Science | Alex Wang Haotong Liang Austin McDannald Ichiro Takeuchi Aaron Gilad Kusne | 2022 |
A semi-supervised deep-learning approach for automatic crystal structure classification | Journal of Applied Crystallography | Satvik Lolla Haotong Liang A Gilad Kusne Ichiro Takeuchi William Ratcliff | 2022/8/1 |
On-the-fly autonomous control of neutron diffraction via physics-informed Bayesian active learning | Applied Physics Reviews | Austin McDannald Matthias Frontzek Andrei T Savici Mathieu Doucet Efrain E Rodriguez | 2022/6/1 |
Novel Nanocomposite Phase-Change Memory Materials and Design and Selection of the Same | 2022/12/22 |
