2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.AI2025★ 2 cited
AutoLabs: Cognitive Multi-Agent Systems with Self-Correction for Autonomous Chemical Experimentation
Gihan Panapitiya, Emily Saldanha, Heather Job +1
The automation of chemical research through self-driving laboratories (SDLs) promises to accelerate scientific discovery, yet the reliability and granular performance of the underl…
cs.LG2024
FragNet: A Graph Neural Network for Molecular Property Prediction with Four Levels of Interpretability
Gihan Panapitiya, Peiyuan Gao, C Mark Maupin +1
Molecular property prediction is essential in a variety of contemporary scientific fields, such as drug development and designing energy storage materials. Although there are many…