Reaching critical MASS: crowdsourcing designs for the next generation of materials acceleration platforms

M Seifrid, J Hattrick-Simpers, A Aspuru-Guzik, T Kalil… - Matter, 2022 - cell.com
Over the past decades, continual advancement of computational power has led to the
prevalence of automation across science, industry, and society, whereby digital solutions …

Materials Acceleration Platforms: On the way to autonomous experimentation

MM Flores-Leonar, LM Mejía-Mendoza… - Current Opinion in …, 2020 - Elsevier
Materials Acceleration Platforms are an emerging paradigm to accelerate materials
discovery as an effort to develop technology solutions that can help address or mitigate …

Autonomous experimentation systems for materials development: A community perspective

E Stach, B DeCost, AG Kusne, J Hattrick-Simpers… - Matter, 2021 - cell.com
Solutions to many of the world's problems depend upon materials research and
development. However, advanced materials can take decades to discover and decades …

Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation

Y Xie, K Sattari, C Zhang, J Lin - Progress in Materials Science, 2023 - Elsevier
The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …

An object-oriented framework to enable workflow evolution across materials acceleration platforms

CJ Leong, KYA Low, J Recatala-Gomez, PQ Velasco… - Matter, 2022 - cell.com
Progress in data-driven self-driving laboratories for solving materials grand challenges has
accelerated with the advent of machine learning, robotics, and automation, but they are …

Emerging materials intelligence ecosystems propelled by machine learning

R Batra, L Song, R Ramprasad - Nature Reviews Materials, 2021 - nature.com
The age of cognitive computing and artificial intelligence (AI) is just dawning. Inspired by its
successes and promises, several AI ecosystems are blossoming, many of them within the …

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 …

[HTML][HTML] Autonomous (AI-driven) materials science

ML Green, B Maruyama, J Schrier - Applied Physics Reviews, 2022 - pubs.aip.org
Numerous critical technologies are currently materials-limited, awaiting novel materials
solutions for advancement. Examples include transportation (light-weight, high-strength …

Toward autonomous materials research: Recent progress and future challenges

JH Montoya, M Aykol, A Anapolsky, CB Gopal… - Applied Physics …, 2022 - pubs.aip.org
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 …

[HTML][HTML] Accelerating materials development via automation, machine learning, and high-performance computing

JP Correa-Baena, K Hippalgaonkar, J van Duren… - Joule, 2018 - cell.com
Successful materials innovations can transform society. However, materials research often
involves long timelines and low success probabilities, dissuading investors who have …