The past decade has witnessed significant advances in causal inference and Bayesian network learning, two intertwined disciplines that allow researchers to discern underlying cause‐and‐effect ...
Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...
An ultimate dream in materials science is to computationally discover novel materials with desiarable properties. Recent first-principles simulations can predict properties accurately, but cannot ...
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