most citedData Fusion of Deep Learned Molecular Embeddings for Property Prediction

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cs.LG2025★ 3 cited

Data Fusion of Deep Learned Molecular Embeddings for Property Prediction

Robert J Appleton, Brian C Barnes, Alejandro Strachan

Data-driven approaches such as deep learning can result in predictive models for material properties with exceptional accuracy and efficiency. However, in many applications, data i…

cs.LG2024

Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials

Robert J. Appleton, Daniel Klinger, Brian H. Lee +6

Data science and artificial intelligence are playing an increasingly important role in the physical sciences. Unfortunately, in the field of energetic materials data scarcity limit…