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Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming ability
Here, we explore the application of an open-source pre-trained NN model, GlassNet, that can predict the characteristic temperatures necessary to compute glass stability (GS) and assess the feasibility of using these physics-informed ML (PIML)-predicted GS parameters to estimate GFA.
A Proof of Useful Work for Artificial Intelligence on the Blockchain
The Bitcoin protocol, named 'proof of work' (PoW), resembles a lottery and the underlying computational work is not useful otherwise.
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