@article{stach_autonomous_2021,
	title = {Autonomous experimentation systems for materials development: {A} community perspective},
	volume = {4},
	issn = {2590-2385},
	shorttitle = {Autonomous experimentation systems for materials development},
	url = {https://www.sciencedirect.com/science/article/pii/S2590238521003064},
	doi = {10.1016/j.matt.2021.06.036},
	abstract = {Solutions to many of the world's problems depend upon materials research and development. However, advanced materials can take decades to discover and decades more to fully deploy. Humans and robots have begun to partner to advance science and technology orders of magnitude faster than humans do today through the development and exploitation of closed-loop, autonomous experimentation systems. This review discusses the specific challenges and opportunities related to materials discovery and development that will emerge from this new paradigm. Our perspective incorporates input from stakeholders in academia, industry, government laboratories, and funding agencies. We outline the current status, barriers, and needed investments, culminating with a vision for the path forward. We intend the article to spark interest in this emerging research area and to motivate potential practitioners by illustrating early successes. We also aspire to encourage a creative reimagining of the next generation of materials science infrastructure. To this end, we frame future investments in materials science and technology, hardware and software infrastructure, artificial intelligence and autonomy methods, and critical workforce development for autonomous research.},
	number = {9},
	urldate = {2025-08-19},
	journal = {Matter},
	author = {Stach, Eric and DeCost, Brian and Kusne, A. Gilad and Hattrick-Simpers, Jason and Brown, Keith A. and Reyes, Kristofer G. and Schrier, Joshua and Billinge, Simon and Buonassisi, Tonio and Foster, Ian and Gomes, Carla P. and Gregoire, John M. and Mehta, Apurva and Montoya, Joseph and Olivetti, Elsa and Park, Chiwoo and Rotenberg, Eli and Saikin, Semion K. and Smullin, Sylvia and Stanev, Valentin and Maruyama, Benji},
	month = sep,
	year = {2021},
	keywords = {additive manufacturing, algorithmic development, artificial intelligence, autonomy, carbon nanotubes, human-machine teaming, machine learning, materials discovery, research methods, workforce development},
	pages = {2702--2726},
}

{"_id":"uLc8ouQyhFHmru5oG","bibbaseid":"stach-decost-kusne-hattricksimpers-brown-reyes-schrier-billinge-etal-autonomousexperimentationsystemsformaterialsdevelopmentacommunityperspective-2021","author_short":["Stach, E.","DeCost, B.","Kusne, A. G.","Hattrick-Simpers, J.","Brown, K. A.","Reyes, K. G.","Schrier, J.","Billinge, S.","Buonassisi, T.","Foster, I.","Gomes, C. P.","Gregoire, J. M.","Mehta, A.","Montoya, J.","Olivetti, E.","Park, C.","Rotenberg, E.","Saikin, S. K.","Smullin, S.","Stanev, V.","Maruyama, B."],"bibdata":{"bibtype":"article","type":"article","title":"Autonomous experimentation systems for materials development: A community perspective","volume":"4","issn":"2590-2385","shorttitle":"Autonomous experimentation systems for materials development","url":"https://www.sciencedirect.com/science/article/pii/S2590238521003064","doi":"10.1016/j.matt.2021.06.036","abstract":"Solutions to many of the world's problems depend upon materials research and development. However, advanced materials can take decades to discover and decades more to fully deploy. Humans and robots have begun to partner to advance science and technology orders of magnitude faster than humans do today through the development and exploitation of closed-loop, autonomous experimentation systems. This review discusses the specific challenges and opportunities related to materials discovery and development that will emerge from this new paradigm. Our perspective incorporates input from stakeholders in academia, industry, government laboratories, and funding agencies. We outline the current status, barriers, and needed investments, culminating with a vision for the path forward. We intend the article to spark interest in this emerging research area and to motivate potential practitioners by illustrating early successes. We also aspire to encourage a creative reimagining of the next generation of materials science infrastructure. To this end, we frame future investments in materials science and technology, hardware and software infrastructure, artificial intelligence and autonomy methods, and critical workforce development for autonomous research.","number":"9","urldate":"2025-08-19","journal":"Matter","author":[{"propositions":[],"lastnames":["Stach"],"firstnames":["Eric"],"suffixes":[]},{"propositions":[],"lastnames":["DeCost"],"firstnames":["Brian"],"suffixes":[]},{"propositions":[],"lastnames":["Kusne"],"firstnames":["A.","Gilad"],"suffixes":[]},{"propositions":[],"lastnames":["Hattrick-Simpers"],"firstnames":["Jason"],"suffixes":[]},{"propositions":[],"lastnames":["Brown"],"firstnames":["Keith","A."],"suffixes":[]},{"propositions":[],"lastnames":["Reyes"],"firstnames":["Kristofer","G."],"suffixes":[]},{"propositions":[],"lastnames":["Schrier"],"firstnames":["Joshua"],"suffixes":[]},{"propositions":[],"lastnames":["Billinge"],"firstnames":["Simon"],"suffixes":[]},{"propositions":[],"lastnames":["Buonassisi"],"firstnames":["Tonio"],"suffixes":[]},{"propositions":[],"lastnames":["Foster"],"firstnames":["Ian"],"suffixes":[]},{"propositions":[],"lastnames":["Gomes"],"firstnames":["Carla","P."],"suffixes":[]},{"propositions":[],"lastnames":["Gregoire"],"firstnames":["John","M."],"suffixes":[]},{"propositions":[],"lastnames":["Mehta"],"firstnames":["Apurva"],"suffixes":[]},{"propositions":[],"lastnames":["Montoya"],"firstnames":["Joseph"],"suffixes":[]},{"propositions":[],"lastnames":["Olivetti"],"firstnames":["Elsa"],"suffixes":[]},{"propositions":[],"lastnames":["Park"],"firstnames":["Chiwoo"],"suffixes":[]},{"propositions":[],"lastnames":["Rotenberg"],"firstnames":["Eli"],"suffixes":[]},{"propositions":[],"lastnames":["Saikin"],"firstnames":["Semion","K."],"suffixes":[]},{"propositions":[],"lastnames":["Smullin"],"firstnames":["Sylvia"],"suffixes":[]},{"propositions":[],"lastnames":["Stanev"],"firstnames":["Valentin"],"suffixes":[]},{"propositions":[],"lastnames":["Maruyama"],"firstnames":["Benji"],"suffixes":[]}],"month":"September","year":"2021","keywords":"additive manufacturing, algorithmic development, artificial intelligence, autonomy, carbon nanotubes, human-machine teaming, machine learning, materials discovery, research methods, workforce development","pages":"2702–2726","bibtex":"@article{stach_autonomous_2021,\n\ttitle = {Autonomous experimentation systems for materials development: {A} community perspective},\n\tvolume = {4},\n\tissn = {2590-2385},\n\tshorttitle = {Autonomous experimentation systems for materials development},\n\turl = {https://www.sciencedirect.com/science/article/pii/S2590238521003064},\n\tdoi = {10.1016/j.matt.2021.06.036},\n\tabstract = {Solutions to many of the world's problems depend upon materials research and development. However, advanced materials can take decades to discover and decades more to fully deploy. Humans and robots have begun to partner to advance science and technology orders of magnitude faster than humans do today through the development and exploitation of closed-loop, autonomous experimentation systems. This review discusses the specific challenges and opportunities related to materials discovery and development that will emerge from this new paradigm. Our perspective incorporates input from stakeholders in academia, industry, government laboratories, and funding agencies. We outline the current status, barriers, and needed investments, culminating with a vision for the path forward. We intend the article to spark interest in this emerging research area and to motivate potential practitioners by illustrating early successes. We also aspire to encourage a creative reimagining of the next generation of materials science infrastructure. To this end, we frame future investments in materials science and technology, hardware and software infrastructure, artificial intelligence and autonomy methods, and critical workforce development for autonomous research.},\n\tnumber = {9},\n\turldate = {2025-08-19},\n\tjournal = {Matter},\n\tauthor = {Stach, Eric and DeCost, Brian and Kusne, A. Gilad and Hattrick-Simpers, Jason and Brown, Keith A. and Reyes, Kristofer G. and Schrier, Joshua and Billinge, Simon and Buonassisi, Tonio and Foster, Ian and Gomes, Carla P. and Gregoire, John M. and Mehta, Apurva and Montoya, Joseph and Olivetti, Elsa and Park, Chiwoo and Rotenberg, Eli and Saikin, Semion K. and Smullin, Sylvia and Stanev, Valentin and Maruyama, Benji},\n\tmonth = sep,\n\tyear = {2021},\n\tkeywords = {additive manufacturing, algorithmic development, artificial intelligence, autonomy, carbon nanotubes, human-machine teaming, machine learning, materials discovery, research methods, workforce development},\n\tpages = {2702--2726},\n}\n\n\n\n","author_short":["Stach, E.","DeCost, B.","Kusne, A. G.","Hattrick-Simpers, J.","Brown, K. A.","Reyes, K. G.","Schrier, J.","Billinge, S.","Buonassisi, T.","Foster, I.","Gomes, C. P.","Gregoire, J. M.","Mehta, A.","Montoya, J.","Olivetti, E.","Park, C.","Rotenberg, E.","Saikin, S. K.","Smullin, S.","Stanev, V.","Maruyama, B."],"key":"stach_autonomous_2021","id":"stach_autonomous_2021","bibbaseid":"stach-decost-kusne-hattricksimpers-brown-reyes-schrier-billinge-etal-autonomousexperimentationsystemsformaterialsdevelopmentacommunityperspective-2021","role":"author","urls":{"Paper":"https://www.sciencedirect.com/science/article/pii/S2590238521003064"},"keyword":["additive manufacturing","algorithmic development","artificial intelligence","autonomy","carbon nanotubes","human-machine teaming","machine learning","materials discovery","research methods","workforce development"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/pranoyr","dataSources":["ybfSxqcjZRxzggkgs"],"keywords":["additive manufacturing","algorithmic development","artificial intelligence","autonomy","carbon nanotubes","human-machine teaming","machine learning","materials discovery","research methods","workforce development"],"search_terms":["autonomous","experimentation","systems","materials","development","community","perspective","stach","decost","kusne","hattrick-simpers","brown","reyes","schrier","billinge","buonassisi","foster","gomes","gregoire","mehta","montoya","olivetti","park","rotenberg","saikin","smullin","stanev","maruyama"],"title":"Autonomous experimentation systems for materials development: A community perspective","year":2021}