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Department of Engineering, University of Cambridge, Cambridge, UK
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Multihead replay not only preserves out-of-distribution robustness but also consistently outperforms models trained from scratch across diverse chemical tasks.
Open-source mlip v2 slashes the computational cost of atomistic simulations while maintaining near ab initio accuracy, thanks to a high-performance backend and scalable Mixture-of-Experts architecture.
