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Lasers, Levitation and Machine Learning Make Better Heat-Resistant Materials

Lasers, Levitation and Machine Learning Make Better Heat-Resistant Materials
Argonne scientists across several disciplines have combined forces to create a new process for testing and predicting the effects of high temperatures on refractory oxides.
Cast iron melts at around 1,200 degrees Celsius. Stainless steel melts at around 1,520 degrees Celsius. If you want to shape these materials into everyday objects, like the skillet in your kitchen or the surgical tools used by doctors, it stands to reason that you would need to create furnaces and molds out of something that can withstand even these extreme temperatures.
That’s where refractory oxides come in. These ceramic materials can stand up to blistering heat and retain their shape, which makes them useful for all kinds of things, from kilns and nuclear reactors to the heat-shielding tiles on spacecraft. But considering the often-dangerous environme ....

Leighanne Gallington , Marius Stan , Ganesh Sivaraman , Chris Benmore , Laboratory Computing Resource Center At Argonne , Office Of Science User Facility At Argonne , Argonnex Ray Science Division , Argonne National Laboratory , Us Department Of Energy , Office Of Science User Facility , Intelligent Materials Design , Applied Materials , Data Science , Argonne Leadership Computing Facility , Science User , X Ray Science , Advanced Photon Source , Science User Facility , Laboratory Computing Resource Center , மரியஸ் ஸ்டான் , கணேஷ் சிவராமன் , ஆய்வகம் கணினி வள மையம் இல் ஆர்கோன் , அலுவலகம் ஆஃப் அறிவியல் பயனர் வசதி இல் ஆர்கோன் , ஆர்கோன் தேசிய ஆய்வகம் , எங்களுக்கு துறை ஆஃப் ஆற்றல் , அலுவலகம் ஆஃப் அறிவியல் பயனர் வசதி ,

Lasers, levitation and machine learning make better heat-resistant materials

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IMAGE: Illustration of the aerodynamic levitation process for studying refractory oxides at their melting points at the APS. A small bead of material is buoyed by gas and heated up by.
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Credit: (Image by Ganesh Sivaraman/Argonne National Laboratory.)
Argonne scientists across several disciplines have combined forces to create a new process for testing and predicting the effects of high temperatures on refractory oxides.
Cast iron melts at around 1,200 degrees Celsius. Stainless steel melts at around 1,520 degrees Celsius. If you want to shape these materials into everyday objects, like the skillet in your kitchen or the surgical tools used by doctors, it stands to reason that you would need to create furnaces and molds out of something that can withstand even these extreme temperatures. ....

United States , Leighanne Gallington , Marius Stan , Ganesh Sivaraman , Chris Benmore , Argonnex Ray Science Division , Scientific Computing Research , Laboratory Computing Resource Center , Us Department Of Energy , Office Of Science User Facility , Office Of Science User Facility At Argonne , Argonne National Laboratory Under Contract No , Office Of Science , Argonne National Laboratory , Intelligent Materials Design , Physical Review , Applied Materials , Data Science , Argonne Leadership Computing Facility , Science User , X Ray Science , Advanced Photon Source , Science User Facility , Advanced Scientific Computing Research , Computing Facilities , Advanced Photon ,

Artificial Intelligence in Materials: Research, Design, and Manufacturing Webinar Series

Artificial Intelligence in Materials: Research, Design, and Manufacturing Webinar Series
Live Events: February 2, 4, 9, and 11, 2021, from 1 p.m.–2 p.m. ET
Non-Members can purchase the recordings for $100
This four-part webinar series will explore the newest developments in artificial intelligence (AI) and how they affect the materials science and engineering (MS&E) fields. This series will cover several topics, including AI for materials design and processing, deep learning for materials and manufacturing innovation, autonomous research, and AI in manufacturing.
This webinar series consists of four sessions, from February 2 to February 11, 2021. Register once for access to all four webinars live or on demand. ....

David Blondheim Jr , Ankit Agrawal , Benji Maruyama , Marius Stan , Purdue University , Materials Division At Argonne National Laboratory , Meeting Services , Research Professor , Autonomous Capabilities Team , Research Laboratory , Autonomous Research Systems For Materials Development , Webinar Library , University Of Chicago , Argonne National Laboratory , Systems Engineering At Colorado State University , Autonomous Research , Intelligent Software For Material Design , Toyota Motor Corporation Japan , Principal Materials Research , Michigan Technological University , Department Of Electrical , Computer Engineering At Northwestern University , Northwestern University , Live Events , Computer Engineering , Hierarchical Materials Design ,