Matthew Avaylon

机构：Lawrence Berkeley National Laboratory, Scientific Data Systems (United States)

发表论文 9 篇 · 总被引 301 次 · h-index 3

代表论文

• A foundation model for atomistic materials chemistry (2025 · The Journal of Chemical Physics · 被引 291)
• End-to-end deep learning pipeline for real-time Bragg peak segmentation: from training to large-scale deployment (2025 · Frontiers in High Performance Computing · 被引 5)
• Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation (2022 · Advances in Artificial Intelligence and Machine Learning · 被引 3)
• Structured behavioral data format: An NWB extension standard for task-based behavioral neuroscience experiments (2024 · bioRxiv (Cold Spring Harbor Laboratory) · 被引 2)
• A 3D, Structure-Based, Deep Learning Approach for Predicting the Regioselectivity of Transition-Metal Catalysis (2026 · ChemRxiv · 被引 1)
• 3D, Structure-Based, Deep Learning Approach to Predict the Regioselectivity of Olefin Hydroformylations (2026 · Journal of the American Chemical Society)