From platform to knowledge graph: evolution of laboratory automation J Bai, L Cao, S Mosbach, J Akroyd, AA Lapkin, M Kraft JACS Au 2 (2), 292-309, 2022 | 60 | 2022 |
Automated calibration of a poly (oxymethylene) dimethyl ether oxidation mechanism using the knowledge graph technology J Bai, R Geeson, F Farazi, S Mosbach, J Akroyd, EJ Bringley, M Kraft Journal of Chemical Information and Modeling 61 (4), 1701-1717, 2021 | 22 | 2021 |
Structural effects of C3 oxygenated fuels on soot formation in ethylene coflow diffusion flames YR Tan, M Salamanca, J Bai, J Akroyd, M Kraft Combustion and Flame 232, 111512, 2021 | 16 | 2021 |
Predicting power conversion efficiency of organic photovoltaics: models and data analysis A Eibeck, D Nurkowski, A Menon, J Bai, J Wu, L Zhou, S Mosbach, ... ACS Omega 6 (37), 23764-23775, 2021 | 15 | 2021 |
A derived information framework for a dynamic knowledge graph and its application to smart cities J Bai, KF Lee, M Hofmeister, S Mosbach, J Akroyd, M Kraft Future Generation Computer Systems 152, 112-126, 2024 | 6 | 2024 |
A dynamic knowledge graph approach to distributed self-driving laboratories J Bai, S Mosbach, CJ Taylor, D Karan, KF Lee, SD Rihm, J Akroyd, ... Nature Communications 15 (1), 462, 2024 | 6* | 2024 |
Knowledge engineering in chemistry: from expert systems to agents of creation A Kondinski, J Bai, S Mosbach, J Akroyd, M Kraft Accounts of Chemical Research 56 (2), 128-139, 2022 | 6 | 2022 |
Semantic agent framework for automated flood assessment using dynamic knowledge graphs M Hofmeister, J Bai, G Brownbridge, S Mosbach, KF Lee, F Farazi, ... Data-Centric Engineering 5, e14, 2024 | 3 | 2024 |
A machine learning-enabled process optimization of ultra-fast flow chemistry with multiple reaction metrics D Karan, G Chen, N Jose, J Bai, P McDaid, AA Lapkin Reaction Chemistry & Engineering, 2024 | 3 | 2024 |
Transforming Research Laboratories with Connected Digital Twins SD Rihm, J Bai, A Kondinski, S Mosbach, J Akroyd, M Kraft Nexus, 2024 | 2 | 2024 |
The digital lab manager: Automating research support SD Rihm, YR Tan, W Ang, M Hofmeister, X Deng, MT Laksana, HY Quek, ... SLAS technology, 100135, 2024 | 1 | 2024 |
A nuclear future? Small Modular Reactors in a carbon tax-driven transition to clean energy W Xie, J Atherton, J Bai, F Farazi, S Mosbach, J Akroyd, M Kraft Applied Energy 364, 123128, 2024 | | 2024 |
Dynamic knowledge graph approach for modelling the decarbonisation of power systems W Xie, F Farazi, J Atherton, J Bai, S Mosbach, J Akroyd, M Kraft Elsevier, 2024 | | 2024 |
A dynamic knowledge graph approach to self-driving chemical laboratories J Bai | | 2024 |
Hacking decarbonization with a community-operated CreatorSpace A Kondinski, S Mosbach, J Akroyd, A Breeson, YR Tan, S Rihm, J Bai, ... Chem, 2024 | | 2024 |
Fully Automated Kinetic Models Extend our Understanding of Complex Reaction Mechanisms SD Rihm, J Bai, L Pascazio, M Kraft Chemie Ingenieur Technik 95 (5), 740-748, 2023 | | 2023 |
Supplementary Information: The Digital Lab Manager: Automating Research Support SD Rihm, YR Tan, W Ang, M Hofmeister, X Deng, MT Laksana, HY Quek, ... | | |
Supplementary Information: Transforming Research Laboratories with Connected SD Rihm, J Bai, A Kondinski, S Mosbach, J Akroyd, M Kraft | | |
Question-answering system for combustion kinetics L Pascazio, D Tran, S Rihm, J Bai, J Akroyd | | |
Vollautomatische kinetische Modelle erweitern unser Verstandnis komplexer Reaktions-mechanismen SD Rihm, J Bai, L Pascazio, M Kraft | | |