most citedCo-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries

9 citations · 13 across the 8 of their papers we have counts for

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cond-mat.mtrl-sci2024★ 2 cited

Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries

Yu Liu, Aditya Raghavan, Utkarsh Pratiush +13

Combinatorial materials libraries provide a powerful platform for mapping how physical properties evolve across binary and ternary cross-sections of multicomponent phase diagrams.…

cond-mat.mtrl-sci2024

Reward based optimization of resonance-enhanced piezoresponse spectroscopy

Yu Liu, Boris Slautin, Jason Bemis +6

Dynamic spectroscopies in Scanning Probe Microscopy (SPM) are critical for probing material properties, such as force interactions, mechanical properties, polarization switching, a…

cond-mat.mtrl-sci2024

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

Haotong Liang, Chuangye Wang, Heshan Yu +6

Iterative cycles of theoretical prediction and experimental validation are the cornerstone of the modern scientific method. However, the proverbial "closing of the loop" in experim…

cond-mat.mtrl-sci2024★ 1 cited

Evolution of ferroelectric properties in SmxBi1-xFeO3 via automated Piezoresponse Force Microscopy across combinatorial spread libraries

Aditya Raghavan, Rohit Pant, Ichiro Takeuchi +6

Combinatorial spread libraries offer a unique approach to explore evolution of materials properties over the broad concentration, temperature, and growth parameter spaces. However,…

cond-mat.mtrl-sci2024★ 9 cited

Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries

Boris N. Slautin, Utkarsh Pratiush, Ilia N. Ivanov +6

The rapid growth of automated and autonomous instrumentations brings forth an opportunity for the co-orchestration of multimodal tools, equipped with multiple sequential detection…

cond-mat.mtrl-sci2023★ 1 cited

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

Sarah I. Allec, Eric S. Muckley, Nathan S. Johnson +9

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