Despite more than three decades of research, Low Energy Nuclear Reactions (LENR) still pose a challenge to comprehensive understanding. The vast array of papers, articles, presentations, reports etc. are vital but often difficult to collate. Thousands of literature pieces have been published over the years, and considering the significance of work towards LENR, it is crucial that the data is readily available and accessible across the globe. As a supplement to some of our prior efforts, with this project we introduce a chatbot that leverages our compilitation of LENR data repository to answer questions and other queries.
The Chatbot is part of a research project led by Prof. David Nagel of George Washington University and Prof. Anasse Bari of New York University, and is sponsored by the Anthropocene Institute. Largely the project aims to develop AI and Predictive Analytics tools to support the commercialization of LENR.
This data was compiled, and chatbot was designed & developed by Yvonne Vu, Tanya Pushkin Garg, Sneha Singh and Suryavardan Suresh. Special thanks are extended to Emos Ker, Charles Wang, Adelina Simpson, Gurmehr Sohi, Saiteja Siddana, and Dongjoo Lee for their hard work on LENR data collection. All of these individuals are members of the Predictive Analytics and AI group at New York University's Courant Institute, under the leadership of Prof. Anasse Bari. This project was built with support from ChatFast.
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