IIT D researchers develop first-of-its kind software for predicting, optimising glass compositions
How many of us have wished for mobile phone screens, glass utensils or window panes that resist damage? Glass makers also wish they had a mechanism for predicting glass compositions to develop products with tailored properties. IIT Delhi researchers have a solution.
Despite two thousand years of usage, developing glasses with tailored properties is still an open challenge and to address this problem, researchers at IIT Delhi have developed a first of its kind machine learning software -- Python for Glass Genomics (PyGGi) -- for predicting and optimising glass compositions.
PyGGi will allow researchers and companies to easily predict glasses with superior properties like scratch resistance and crack resistance at the tap of a button.
"Understanding and predicting the compositionstructureproperty relationship is the key to developing novel glasses such as bullet proof and scratch resistant glasses," said N M Anoop Krishnan, a professor at IIT Delhi who is one of the Project ...