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computational profile acquiring expertise in periodic DFT calculations, neural network potentials, automated reaction-network exploration, and scientific large language model agents, all applied to chemically and
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INFOCOM 2023 [9] A. Collet, A. Banchs, M. Fiore, LossLeaP: Learning to Predict for Intent-Based Networking, IEEE INFOCOM 2022 [10] C. Zhang, M. Fiore, I. Murray, P. Patras, CloudLSTM: A Recurrent Neural
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computing and decentralized intelligence where a swarm of nodes learns graph dependencies by effectively integrating the structure of distributed systems into neural network architecture. This approach
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