Progress and prospects for accelerating materials science with automated and autonomous workflows
HS Stein, JM Gregoire - Chemical science, 2019 - pubs.rsc.org
Accelerating materials research by integrating automation with artificial intelligence is
increasingly recognized as a grand scientific challenge to discover and develop materials …
increasingly recognized as a grand scientific challenge to discover and develop materials …
Autonomous experimentation systems for materials development: A community perspective
Solutions to many of the world's problems depend upon materials research and
development. However, advanced materials can take decades to discover and decades …
development. However, advanced materials can take decades to discover and decades …
Enabling modular autonomous feedback‐loops in materials science through hierarchical experimental laboratory automation and orchestration
F Rahmanian, J Flowers, D Guevarra… - Advanced Materials …, 2022 - Wiley Online Library
Materials acceleration platforms (MAPs) operate on the paradigm of integrating
combinatorial synthesis, high‐throughput characterization, automatic analysis, and machine …
combinatorial synthesis, high‐throughput characterization, automatic analysis, and machine …
Tracking materials science data lineage to manage millions of materials experiments and analyses
In an era of rapid advancement of algorithms that extract knowledge from data, data and
metadata management are increasingly critical to research success. In materials science …
metadata management are increasingly critical to research success. In materials science …
Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …
traditional research paradigms in the era of artificial intelligence and automation. An …
Automated experimentation powers data science in chemistry
Y Shi, PL Prieto, T Zepel, S Grunert… - Accounts of Chemical …, 2021 - ACS Publications
Conspectus Data science has revolutionized chemical research and continues to break
down barriers with new interdisciplinary studies. The introduction of computational models …
down barriers with new interdisciplinary studies. The introduction of computational models …
Toward autonomous materials research: Recent progress and future challenges
The modus operandi in materials research and development is combining existing data with
an understanding of the underlying physics to create and test new hypotheses via …
an understanding of the underlying physics to create and test new hypotheses via …
Experiment Specification, Capture and Laboratory Automation Technology (ESCALATE): a software pipeline for automated chemical experimentation and data …
Applying artificial intelligence to materials research requires abundant curated experimental
data and the ability for algorithms to request new experiments. ESCALATE (Experiment …
data and the ability for algorithms to request new experiments. ESCALATE (Experiment …
Toward autonomous design and synthesis of novel inorganic materials
Autonomous experimentation driven by artificial intelligence (AI) provides an exciting
opportunity to revolutionize inorganic materials discovery and development. Herein, we …
opportunity to revolutionize inorganic materials discovery and development. Herein, we …
Research acceleration in self‐driving labs: Technological roadmap toward accelerated materials and molecular discovery
F Delgado-Licona, M Abolhasani - Advanced Intelligent …, 2023 - Wiley Online Library
The urgency of finding solutions to global energy, sustainability, and healthcare challenges
has motivated rethinking of the conventional chemistry and material science workflows. Self …
has motivated rethinking of the conventional chemistry and material science workflows. Self …