Validating Thermoelectric Predictions
Anubhav discusses the innovative validation methods used to assess predictions of thermoelectric materials through natural language processing. He highlights a remarkable correlation between NLP rankings and simulated data, as well as experimental results. Additionally, he reveals how predictions made using historical data have proven to be significantly more effective in identifying new materials compared to random selection, often years ahead of their literature reporting.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291
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