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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 ,