High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. - Ryan Chard; Rafael Vescovi; Ming Du; Hanyu Li; Kyle Chard; Steven Tuecke; Narayanan Kasthuri; Ian T. Foster (AI-Science@HPDC, 2018)

Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. - Wushi Dong; Nicola J. Ferrier; Narayanan Kasthuri; Peter Littlewood; Murat Keçeli; Rafael Vescovi; Hanyu Li; Corey Adams; Elise Jennings; Samuel Flender; Thomas D. Uram; Venkatram Vishwanath (DLS@SC, 2019)

Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. - Wushi Dong; Murat Keçeli; Rafael Vescovi; Hanyu Li; Corey Adams; Thomas D. Uram; Venkatram Vishwanath; Bobby Kasthuri; Nicola J. Ferrier; Peter Littlewood (CoRR, 2019)

Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data. - Rafael Vescovi; Hanyu Li; Jeffery Kinnison; Murat Keçeli; Misha Salim; Narayanan Kasthuri; Thomas D. Uram; Nicola J. Ferrier (XLOOP@SC, 2020)

Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. - Justin M. Wozniak; Zhengchun Liu; Rafael Vescovi; Ryan Chard; Bogdan Nicolae; Ian T. Foster (SMC, 2021)

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. - Rafael Vescovi; Ryan Chard; Nickolaus D. Saint; Ben Blaiszik; Jim Pruyne; Tekin Bicer; Alex Lavens; Zhengchun Liu; Michael E. Papka; Suresh Narayanan; Nicholas Schwarz; Kyle Chard; et al. (CoRR, 2022)

Linking scientific instruments and computation: Patterns, technologies, and experiences. - Rafael Vescovi; Ryan Chard; Nickolaus D. Saint; Ben Blaiszik; Jim Pruyne; Tekin Bicer; Alex Lavens; Zhengchun Liu; Michael E. Papka; Suresh Narayanan; Nicholas Schwarz; Kyle Chard; et al. (Patterns, 2022)

Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers. - Alexander Brace; Rafael Vescovi; Ryan Chard; Nickolaus D. Saint; Arvind Ramanathan; Nestor J. Zaluzec; Ian T. Foster (SC Workshops, 2023)

Exploring Benchmarks for Self-Driving Labs using Color Matching. - Tobias Ginsburg; Kyle Hippe; Ryan Lewis; Aileen Cleary; Doga Ozgulbas; Rory Butler; Casey Stone; Abraham Stroka; Rafael Vescovi; Ian T. Foster (SC Workshops, 2023)

Active Research Data Management with the Django Globus Portal Framework. - Nickolaus D. Saint; Ryan Chard; Rafael Vescovi; Jim Pruyne; Ben Blaiszik; Rachana Ananthakrishnan; Michael E. Papka; Rick Wagner; Kyle Chard; Ian T. Foster (PEARC, 2023)

Towards a Modular Architecture for Science Factories. - Rafael Vescovi; Tobias Ginsburg; Kyle Hippe; Doga Ozgulbas; Casey Stone; Abraham Stroka; Rory Butler; Ben Blaiszik; Tom Brettin; Kyle Chard; Mark Hereld; Arvind Ramanathan; et al. (CoRR, 2023)

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. - Haochen Pan; Ryan Chard; Sicheng Zhou; Alok Kamatar; Rafael Vescovi; Valérie Hayot-Sasson; André Bauer 001; Maxime Gonthier; Kyle Chard; Ian T. Foster (SC Workshops, 2024)

Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges from the 2024 IEEE ICRA Workshop, Yokohama, Japan. - Andrew I. Cooper; Patrick Courtney; Kourosh Darvish; Moritz Eckhoff; Hatem Fakhruldeen; Andrea Gabrielli; Animesh Garg; Sami Haddadin; Kanako Harada; Jason Hein; Maria Hübner; Dennis Knobbe; et al. (CoRR, 2025)