As the importance of high-throughput screening (HTS) continues to grow d...
Despite the increasing relevance of explainable AI, assessing the qualit...
Machine learning techniques have successfully been used to extract struc...
Graph neural networks (GNNs) have been applied to a large variety of
app...
Transfer of recent advances in deep reinforcement learning to real-world...
Explainable artificial intelligence (XAI) methods are expected to improv...
Graph neural networks are widely used to learn global representations of...
Imagine an oracle that correctly predicts the outcome of every particle
...
Artificial intelligence (AI) and machine learning (ML) are expanding in
...
Graph neural networks are a versatile machine learning architecture that...
Organic semiconductors are indispensable for today's display technologie...
The calculation of heat transfer in fluid flow in simple flat channels i...
Machine learning with application to questions in the physical sciences ...
Graph neural network have achieved impressive results in predicting mole...
Challenges in natural sciences can often be phrased as optimization prob...
Graphs are ideal representations of complex, relational information. The...