Announcements

  • Oct 21, 2020: PyGGi pro 2.0:
    Updated of version of downloadable package PyGGi pro 2.0 will be available soon for sale. This updated version will house all the three apps Bank, Seer and Zen with additional features. A free version of the same package with limited features will be made available soon. Do purchase the software and contribute to the PyGGi project.

  • Oct 14, 2020: Revamped PyGGi website with three new apps:
    We are glad to share that we have launched a significantly re-vamped website for PyGGi. This package now houses three apps, namely, PyGGi Bank (a repository for glass data with more than 50,000 compositions), PyGGi Seer (a machine-learning based property prediction tool), and PyGGi Zen (a meta-heuristic optimization package for accelerated glass design). All these packages are freely available for the entire glass community through the web-version. Moreover, we are trying to build a community through the PyGGi Forum. The downloaded version is being updated to include these features as well.

  • Sep 3, 2020: Gandhian Young Technological Innovation Award 2020:
    We announce with great pleasure that PyGGi has been selected for the Gandhian Young Technological Innovation (GYTI) Award 2020. It is a national award established by SRISTI (Society for Research and Initiatives for Sustainable Technologies and Institutions) for student projects which address an important social, environmental or technological problem faced by masses or disadvantaged people/sectors/spaces or micro and small enterprises or have the potential to impact a pressing national need.

  • Aug 31, 2020: PyGGi Version 1.1 Released:
    We are pleased to announce the launch of an updated version of PyGGi. We have added 3 more properties for prediction in this version and improved the prediction models overall. Refer to the documentation for more details.

  • Oct 30, 2019: Copyright Registration:
    A copyright for Python for Glass Genomics (PyGGi) has successfully been registered under the category of computer software in the Copyright Office of the Government of India with Diary Number: 16995/2019-CO/SW.

  • Sep 29 – Oct 3, 2019: Demonstration of PyGGi at MS&T19, Portland:
    Team PyGGi setup a dedicated booth at Materials Science & Technology (MS&T) Technical Meeting and Exhibition 2019 held at Portland, Oregon which hosted more than 2,900 attendees from around the globe.

  • Sep 21, 2019: Demonstration of PyGGi at Industry Day, IIT Delhi, 2019:
    PyGGi has been selected to be showcased at IIT Delhi Industry Day 2019, attended by industry luminaries, Government officials, high-level decision makers and entrepreneurs across the vast IITD Alumni and beyond.

  • Aug 2, 2019: PyGGi Version 1.0 Released:
    The first version of PyGGi has successfully been launched in the presence of V. Ramgopal Rao, Director, IITD. The first version has 34 components to choose from and 6 properties that can be predicted. Two methodologies, namely Neural Network and Gaussian Progress Regression can be used to make the predictions.


Media Coverage

  • Deep learning provides deep help—researchers develop publicly available software for rational design of oxide glasses - The American Ceramic Society, (05 May, 2020) Read More

  • IIT Delhi researchers develop first-of-its kind software for predicting, optimising glass compositions - India Today, (03 August, 2019) Read More

  • From IIT-Delhi, software to predict glass strength - Indian Express, (05 August, 2019) Read More

  • IIT-D researchers develop software for predicting, optimising glass compositions - Live Mint, (02 August, 2019) Read More

  • IIT Delhi launches software to design cheaper, durable glass for medical equipment - Career 360, (02 August, 2019) Read More

  • IIT Delhi researchers develop first-of-its kind software - The Hans India, (02 August, 2019) Read More

  • IIT-D develops software for predicting glass compositions - Daily Pioneer, (03 August, 2019) Read More

  • IIT-Delhi may have a solution for all glass-made products - Gadget Now, (02 August, 2019) Read More

  • IIT D researchers develop first-of-its kind software for predicting, optimising glass compositions - Devdiscourse, (02 August, 2019) Read More

  • IIT D researchers develop first-of-its kind software for predicting optimising glass compositions - The Week, (02 August, 2019) Read More

  • From IIT-Delhi, software to predict glass strength - Info News, (04 August, 2019) Read More

  • आपके मोबाइल स्क्रीन की उम्र बढ़ाने में मददगार होगा IIT दिल्ली का ये शोध - Aajtak, (04 अगस्त, 2019) Read More

  • अब नहीं टूटेगा मोबाइल स्क्रीन और गाड़ी का शीशा - News24 YouTube link Read More

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