We’re pleased to announce that a new themed collection from Digital Discovery has now been published online.
This new themed collection represents a collaboration between the editors of Digital Discovery and the Acceleration Consortium, organisers of the Accelerate Conference. The goal of the conference was to explore the power of self-driving labs (SDLs), which combine AI, automation, and advanced computing to accelerate materials and molecular discovery.
This themed collection, Guest Edited by Prof. Keith A. Brown (Boston University, USA), Prof. Fedwa El Mellouhi (Hamad Bin Khalifa University, Qatar), and Prof. Claudiane Ouellet-Plamondon (École de technologie supérieure, Canada), features contributions that cover various aspects of this process, whether specifically presented at the conference or not.
Examples include, realization of new SDLs; fundamental studies of the operation of SDLs; sustainable, resilient, low carbon, materials and chemical discoveries made using SDLs.
A list of the articles has been provided below. All articles in Digital Discovery are open access and free to read.
We hope you enjoy this new themed collection from Digital Discovery.
A new collection to feature contributors to Accelerate Conference 2023 and Accelerate Conference 2024 is currently in preparation – watch this space for more information!
Editorial
Introduction to “Accelerate Conference 2022”
Keith A. Brown, Fedwa El Mellouhi and Claudiane Ouellet-Plamondon
Digital Discovery, 2024, 3, DOI: 10.1039/D4DD90036G
Perspectives
The laboratory of Babel: highlighting community needs for integrated materials data management
Brenden G. Pelkie and Lilo D. Pozzo
Digital Discovery, 2023, 2, 544–556, DOI: 10.1039/D3DD00022B
What is missing in autonomous discovery: open challenges for the community
Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben Blaiszik, Keith A. Brown, Stuart I. Campbell, Orion A. Cohen, Rebecca L. Davis, Ian T. Foster, Navid Haghmoradi, Mark Hereld, Howie Joress, Nicole Jung, Ha-Kyung Kwon, Gabriella Pizzuto, Jacob Rintamaki, Casper Steinmann, Luca Torresi and Shijing Sun
Digital Discovery, 2023, 2, 1644–1659, DOI: 10.1039/D3DD00143A
Autonomous cementitious materials formulation platform for critical infrastructure repair
Howie Joress, Rachel Cook, Austin McDannald, Mark Kozdras, Jason Hattrick-Simpers, Aron Newman and Scott Jones
Digital Discovery, 2024, 3, 231–237, DOI: 10.1039/D3DD00211J
Papers
A fully automated platform for photoinitiated RAFT polymerization
Jules Lee, Prajakatta Mulay, Matthew J. Tamasi, Jonathan Yeow, Molly M. Stevens and Adam J. Gormley
Digital Discovery, 2023, 2, 219–233, DOI: 10.1039/D2DD00100D
A high-throughput workflow for the synthesis of CdSe nanocrystals using a sonochemical materials acceleration platform
Maria Politi, Fabio Baum, Kiran Vaddi, Edwin Antonio, Joshua Vasquez, Brittany P. Bishop, Nadya Peek, Vincent C. Holmberg and Lilo D. Pozzo
Digital Discovery, 2023, 2, 1042–1057, DOI: 10.1039/D3DD00033H
Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms
Henrik Schopmans, Patrick Reiser and Pascal Friederich
Digital Discovery, 2023, 2, 1414–1424, DOI: 10.1039/D3DD00071K
Driving school for self-driving labs
Kelsey L. Snapp and Keith A. Brown
Digital Discovery, 2023, 2, 1620–1629, DOI: 10.1039/D3DD00150D
Robotically automated 3D printing and testing of thermoplastic material specimens
Miguel Hernández-del-Valle, Christina Schenk, Lucía Echevarría-Pastrana, Burcu Ozdemir, Enrique Dios-Lázaro, Jorge Ilarraza-Zuazo, De-Yi Wang and Maciej Haranczyk
Digital Discovery, 2023, 2, 1969–1979, DOI: 10.1039/D3DD00141E
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, Rick Stevens, Aikaterini Vriza, Jie Xu, Qingteng Zhang and Ian Foster
Digital Discovery, 2023, 2, 1980–1998, DOI: 10.1039/D3DD00142C
A human-in-the-loop approach for visual clustering of overlapping materials science data
Satyanarayana Bonakala, Michael Aupetit, Halima Bensmail and Fedwa El-Mellouhi
Digital Discovery, 2024, 3, 502–513, DOI: 10.1039/D3DD00179B