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Perfecting Liquid-State Theories with Machine Intelligence
Recent years have seen a significant increase in the use of machine intelligence for predicting electronic structure, molecular force fields, and the physicochemical properties of various condensed systems.
Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review
The blockchain and artificial intelligence (AI) are innovative technologies to fulfil these two factors, by which the blockchain provides decentralised trading platforms for energy markets and the AI supports the optimal operational control of power systems.
Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors
Accurate prediction of physical properties is critical for discovering and designing novel materials.
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