Extraction of mechanical properties of materials through deep learning from instrumented indentation [Engineering],Proceedings of the National Academy of Sciences of the United States of America

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Extraction of mechanical properties of materials through deep learning from instrumented indentation [Engineering]
Proceedings of the National Academy of Sciences of the United States of America ( IF 9.4 ) Pub Date : 2020-03-31
Lu Lu, Ming Dao, Punit Kumar, Upadrasta Ramamurty, George Em Karniadakis, Subra Suresh

Instrumented indentation has been developed and widely utilized as one of the most versatile and practical means of extracting mechanical properties of materials. This method is particularly desirable for those applications where it is difficult to experimentally determine the mechanical properties using stress–strain data obtained from coupon specimens. Such applications...

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