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20162026
most citedAutonomous synthesis of metastable materials

99 citations · 277 across the 9 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

7 papers · 1 filter

cond-mat.mtrl-sci2026

Autonomous Materials Exploration by Integrating Automated Phase Identification and AI-Assisted Human Reasoning

Ming-Chiang Chang, Maximilian Amsler, Duncan R. Sutherland +9

Autonomous experimentation holds the potential to accelerate materials development by combining artificial intelligence (AI) with modular robotic platforms to explore extensive com…

cond-mat.mtrl-sci2023★ 8 cited

Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research

Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler +6

X-ray diffraction (XRD) is an essential technique to determine a material's crystal structure in high-throughput experimentation, and has recently been incorporated in artificially…

cond-mat.mtrl-sci2023★ 3 cited

MHub: Unlocking the Potential of Machine Learning for Materials Discovery

Yuanqi Du, Yingheng Wang, Yining Huang +6

We introduce MHub, a toolkit for advancing machine learning in materials discovery. Machine learning has achieved remarkable progress in modeling molecular structures, especial…

cond-mat.mtrl-sci2021★ 94 cited

Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings

Shufeng Kong, Francesco Ricci, Dan Guevarra +3

Machine learning for materials discovery has largely focused on predicting an individual scalar rather than multiple related properties, where spectral properties are an important…

cond-mat.mtrl-sci2021★ 99 cited

Autonomous synthesis of metastable materials

Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland +7

Autonomous experimentation enabled by artificial intelligence (AI) offers a new paradigm for accelerating scientific discovery. Non-equilibrium materials synthesis is emblematic of…

cond-mat.mtrl-sci2020

Optical Identification of Materials Transformations in Oxide Thin Films

Duncan R. Sutherland, Aine Boyer Connolly, Maximilian Amsler +9

Recent advances in high-throughput experimentation for combinatorial studies have accelerated the discovery and analysis of materials across a wide range of compositions and synthe…

cond-mat.mtrl-sci2016

Automated Phase Mapping with AgileFD and its Application to Light Absorber Discovery in the V-Mn-Nb Oxide System

Santosh K. Suram, Yexiang Xue, Junwen Bai +8

Rapid construction of phase diagrams is a central tenet of combinatorial materials science with accelerated materials discovery efforts often hampered by challenges in interpreting…