Golden Kumar

This is a submission for the GitHub Copilot Challenge : New Beginnings What I Built It is a DNS server that can use the LM model to answer user queries. Feature: Save bandwidth as it is just a DNS call. Directly call the LLM model using the terminal. How does it work? Send a TXT record to the DNS server. The subdomain contains the question to be asked by LLM. LLM answers the query the result is sent back to the user.

Abstract Reducing the sample size can profoundly impact properties of bulk metallic glasses. Here, we systematically reduce the length scale of Au and Pt-based metallic glasses and study their vitrification behavior and atomic mobility. For this purpose, we exploit fast scanning calorimetry (FSC) allowing to study glassy dynamics in an exceptionally wide range of cooling rates and frequencies. We show that the main α relaxation process remains size independent and bulk-like.

Abstract : Additive manufacturing is rapidly evolving and revolutionizing the fabrication of complex metal components with tunable properties. Machine learning and neural networks have emerged as powerful tools for process–property optimization in additive manufacturing. These techniques work well for the prediction of a single property but their applicability in optimizing multiple properties is limited.