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LLPR can achieve full-data accuracy with a fraction of the labels, revolutionizing how we approach training machine-learning force fields.
AI2 methods can now be transformed from bespoke protocols into reusable workflows, significantly enhancing the efficiency of molecular simulations in complex chemical systems.
