We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...
If you've ever watched a glass blower at work, you've seen a material behaving in a very special way. As it cools, the viscosity of molten glass increases steadily but gradually, allowing it to be ...
Abstract: Accurate prediction of physical properties is critical for discovering and designing novel materials. Machine learning technologies have attracted significant attention in the materials ...
Abstract: Graph data structures’ ability of representing vertex relationships has made them increasingly popular in recent years. Amid this trend, many property graph datasets have been collected and ...
University of Liverpool researchers have discovered a way to host some of the most significant properties of graphene in a three‑dimensional (3D) material, potentially removing the hurdles for these ...
University of Liverpool researchers have discovered a way to host some of the most significant properties of graphene in a three‑dimensional (3D) material, potentially removing the hurdles for these ...
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