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A. Kusne · SciRah

Researcher profile · Semantic Scholar

A. Kusne

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A. Kusne — researcher profile on SciRah

h-index: 25
Works: 61
Citations: 3,978

Most-cited papers

Machine learning modeling of superconducting critical temperature
V. Stanev, C. Oses, A. Kusne, E. Rodriguez +3 more
2017npj Computational Materials466 citations Open access
Semantic Scholar
JARVIS: An Integrated Infrastructure for Data-driven Materials Design
Kamal Choudhary, K. Garrity, Andrew C. E. Reid, Brian L. DeCost +25 more
2020415 citations Open access
Semantic Scholar
Autonomous experimentation systems for materials development: A community perspective
E. Stach, Brian L. DeCost, A. Kusne, J. Hattrick-Simpers +17 more
2021382 citations Open access
Semantic Scholar
Machine Learning in Materials Science
T. Mueller, A. Kusne, R. Ramprasad
2016349 citations
Semantic Scholar
Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies
M. Green, C. Choi, J. Hattrick-Simpers, A. Joshi +13 more
2017296 citations Open access
Semantic Scholar
Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
Shijing Sun, Noor Titan Putri Hartono, Ze-Kun Ren, Felipe Oviedo +14 more
2018Joule286 citations Open access
Semantic Scholar
The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design
Kamal Choudhary, K. Garrity, Andrew C. E. Reid, Brian L. DeCost +24 more
2020npj Computational Materials281 citations Open access
Semantic Scholar
On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets
A. Kusne, T. Gao, A. Mehta, L. Ke +7 more
2014Scientific Reports260 citations Open access
Semantic Scholar
Perspective: Composition–structure–property mapping in high-throughput experiments: Turning data into knowledge
J. Hattrick-Simpers, J. Gregoire, A. Kusne
2016112 citations Open access
Semantic Scholar
Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering
V. Stanev, V. Vesselinov, A. Kusne, Graham Antoszewski +2 more
2018npj Computational Materials110 citations Open access
Semantic Scholar
Scientific AI in Materials Science: a Path to a Sustainable and Scalable Paradigm
Brian L. DeCost, J. Hattrick-Simpers, Z. Trautt, A. Kusne +2 more
2020Machine Learning: Science and Technology104 citations Open access
Semantic Scholar
Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries
Yuma Iwasaki, A. Kusne, I. Takeuchi
2017npj Computational Materials102 citations Open access
Semantic Scholar
Machine-learning guided discovery of a new thermoelectric material
Yuma Iwasaki, I. Takeuchi, V. Stanev, A. Kusne +9 more
2019Scientific Reports100 citations Open access
Semantic Scholar
Graph Neural Network Predictions of Metal Organic Framework CO2 Adsorption Properties
Kamal Choudhary, T. Yildirim, D. Siderius, A. Kusne +2 more
202183 citations Open access
Semantic Scholar
High-throughput determination of structural phase diagram and constituent phases using GRENDEL
A. Kusne, David A. Keller, Assaf Y. Anderson, A. Zaban +1 more
2015Nanotechnology77 citations Open access
Semantic Scholar
Artificial intelligence for search and discovery of quantum materials
V. Stanev, Kamal Choudhary, A. Kusne, J. Paglione +1 more
2021Communications Materials64 citations Open access
Semantic Scholar
Benchmarking Active Learning Strategies for Materials Optimization and Discovery
Alex Wang, Hao-Tong Liang, Austin McDannald, I. Takeuchi +1 more
2022Oxford Open Materials Science59 citations Open access
Semantic Scholar
On-the-fly autonomous control of neutron diffraction via physics-informed Bayesian active learning
Austin McDannald, M. Frontzek, A. Savici, M. Doucet +7 more
2021Applied Physics Reviews58 citations Open access
Semantic Scholar
CRYSPNet: Crystal structure predictions via neural networks
Hao-Tong Liang, V. Stanev, A. Kusne, I. Takeuchi
2020PHYSICAL REVIEW MATERIALS47 citations Open access
Semantic Scholar
aflow++: A C++ framework for autonomous materials design
C. Oses, M. Esters, David Hicks, Simon Divilov +16 more
2022Computational materials science44 citations Open access
Semantic Scholar
Real-time experiment-theory closed-loop interaction for autonomous materials science
Hao-Tong Liang, Chuang-Ye Wang, He-Shan Yu, D. Kirsch +5 more
2024Science Advances36 citations Open access
Semantic Scholar
Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping
Felix Adams, Austin McDannald, I. Takeuchi, A. Kusne
2023Matter33 citations Open access
Semantic Scholar
Scalable multi-agent lab framework for lab optimization
A. Kusne, Austin McDannald
2022Matter30 citations Open access
Semantic Scholar
Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics
O. Kotevska, A. Kusne, D. Samarov, A. Lbath +1 more
2017IEEE Access29 citations Open access
Semantic Scholar
Combinatorial study of Fe-Co-V hard magnetic thin films
S. Fackler, V. Alexandrakis, Dennis König, A. Kusne +8 more
2017Science and Technology of Advanced Materials28 citations Open access
Semantic Scholar
An Inter-Laboratory Study of Zn-Sn-Ti-O Thin Films using High-Throughput Experimental Methods.
J. Hattrick-Simpers, A. Zakutayev, S. Barron, Z. Trautt +10 more
2019ACS Combinatorial Science14 citations Open access
Semantic Scholar
An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models
J. Hattrick-Simpers, Brian L. DeCost, A. Kusne, H. Joress +9 more
2021Integrating Materials and Manufacturing Innovation12 citations Open access
Semantic Scholar
BES Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning
D. Ratner, B. Sumpter, Frank Alexander, J. Billings +23 more
201912 citations Open access
Semantic Scholar
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation
L. Saar, Hao-Tong Liang, A. Wang, Austin McDannald +3 more
2022arXiv.org10 citations Open access
Semantic Scholar
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns
Dipendra Jha, A. Kusne, Reda Al-Bahrani, Nam Nguyen +3 more
2019IEEE International Joint Conference on Neural Network10 citations
Semantic Scholar
Autonomous Small-Angle Scattering for Accelerated Soft Material Formulation Optimization
Tyler B. Martin, Duncan R. Sutherland, Austin McDannald, A. Kusne +1 more
2025Chemistry of Materials9 citations Open access
Semantic Scholar
A framework for materials informatics education through workshops
A. Mannodi-Kanakkithodi, Austin McDannald, Shijing Sun, Saaketh Desai +2 more
2023MRS bulletin9 citations Open access
Semantic Scholar
Teaching machine learning to materials scientists: Lessons from hosting tutorials and competitions
Shijing Sun, Keith A. Brown, A. Kusne
2022Matter8 citations Open access
Semantic Scholar
A semi-supervised deep-learning approach for automatic crystal structure classification
Satvik Lolla, Hao-Tong Liang, A. Kusne, I. Takeuchi +1 more
2022Journal of Applied Crystallography8 citations Open access
Semantic Scholar
On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning
A. Kusne, Heshan Yu, Chang-Ming Wu, Huairuo Zhang +12 more
20208 citations
Semantic Scholar
Reproducible sorbent materials foundry for carbon capture at scale
Austin McDannald, H. Joress, Brian L. DeCost, Avery E. Baumann +8 more
2022Cell Reports Physical Science7 citations Open access
Semantic Scholar
Application of Bayesian Optimization and Regression Analysis to Ferromagnetic Materials Development
A. Will-Cole, A. Kusne, Peter D. Tonner, C. Dong +3 more
2022IEEE transactions on magnetics6 citations Open access
Semantic Scholar
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks
Felipe Oviedo, Ze-Kun Ren, Shijing Sun, C. Settens +8 more
20186 citations
Semantic Scholar
Learning material synthesis–process–structure–property relationship by data fusion: Bayesian co-regionalization N-dimensional piecewise function learning
A. Kusne, Austin McDannald, Brian L. DeCost
2024Digital Discovery5 citations Open access
Semantic Scholar
Analyzing Data Privacy for Edge Systems
O. Kotevska, Jordan Johnson, A. Kusne
2022International Conference on Smart Computing5 citations Open access
Semantic Scholar
Machine-learning guided discovery of a high-performance spin-driven thermoelectric material
Yuma Iwasaki, I. Takeuchi, V. Stanev, A. Kusne +9 more
20185 citations
Semantic Scholar
Overcoming Roadblocks for Implementing AI/ML Methods for Materials Advancement
James Warren, F. Tavazza, Austin McDannald, A. Kusne +5 more
2026Annual review of materials research (Print)4 citations Open access
Semantic Scholar
Quantum Kernel Machine Learning for Autonomous Materials Science
Felix Adams, Daiwei Zhu, D. Steuerman, A. Kusne +1 more
2026APL Quantum3 citations
Semantic Scholar
Graph neural network predictions of metal organic framework CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e488" altimg="si38.svg"><mml:msub><mml:mrow /><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> adsorption properties
Kamal Choudhary, Taner Yildirim, D. Siderius, A. Kusne +2 more
2022Computational materials science2 citations Open access
Semantic Scholar
Managing autonomous materials labs with multi-agent AI and its implications for the science of science
A. Kusne, Austin McDannald
2026Communications Materials1 citations Open access
Semantic Scholar
Toward a composable, modular laboratory ecosystem for autonomous materials research and development
H. Joress, Brian L. DeCost, Katelyn Jones, A. Kusne +3 more
2026Matter1 citations
Semantic Scholar
Autonomous epitaxial atomic-layer synthesis via real-time computer vision of electron diffraction
Hao Liang, Yunlong Sun, Ryan Paxson, Chih-Yu Lee +7 more
20261 citations
Semantic Scholar
Machine Learning Tool for Crystal Structure Predictions
V. Stanev, Hao-Tong Liang, A. Kusne, I. Takeuchi
20201 citations
Semantic Scholar
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks
Felipe Oviedo, Ze-Kun Ren, Shijing Sun, C. Settens +8 more
2018arXiv.org1 citations
Semantic Scholar
Semi- and self-supervised approaches to space group and Bravais lattice determination
W. Ratcliff, Satvik Lolla, I. Takeuchi, A. Kusne +1 more
2023Acta Crystallographica Section A: Foundations and Advances0 citations Open access
Semantic Scholar

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