S. J. Thais
Yale University(US)Columbia University(US)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Particle Detector Development and Performance, Quantum Chromodynamics and Particle Interactions, Dark Matter and Cosmic Phenomena
Most-Cited Works
- → Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking(2021)71 cited
- → Applications and Techniques for Fast Machine Learning in Science(2022)70 cited
- → Towards intellectual freedom in an AI Ethics Global Community(2021)35 cited
- → Graph Neural Networks for Charged Particle Tracking on FPGAs(2022)35 cited
- → Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs(2020)31 cited
- → Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges(2022)16 cited
- → Software Training in HEP(2021)6 cited
- → Charged Particle Tracking via Edge-Classifying Interaction Networks(2021)6 cited
- → Semi-Equivariant GNN Architectures for Jet Tagging(2023)5 cited
- → Equivariant Graph Neural Networks for Charged Particle Tracking(2023)5 cited