The Electrolab: An open-source, modular platform for automated characterization of redox-active electrolytes

Device - Tập 1 - Trang 100103 - 2023
Inkyu Oh1,2, Michael A. Pence3,4,2, Nikita G. Lukhanin3,4,2, Oliver Rodríguez3,4,2, Charles M. Schroeder3,4,5,6,2, Joaquín Rodríguez-López3,2
1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA
2Joint Center for Energy Storage Research (JCESR), Argonne, IL 60439, USA
3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
4Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
5Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
6Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA

Tài liệu tham khảo

Crabtree, 2020, Self-Driving Laboratories Coming of Age, Joule, 4, 2538, 10.1016/j.joule.2020.11.021 Li, 2022, Using automated synthesis to understand the role of side chains on molecular charge transport, Nat. Commun., 13, 2102, 10.1038/s41467-022-29796-2 Jiang, 2022, An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials, Sci. Adv., 8, 10.1126/sciadv.abo2626 MacLeod, 2020, Self-driving laboratory for accelerated discovery of thin-film materials, Sci. Adv., 6, 10.1126/sciadv.aaz8867 Li, 2021, Bipolar Redox-Active Molecules in Non-Aqueous Organic Redox Flow Batteries: Status and Challenges, Chemelectrochem, 8, 1215, 10.1002/celc.202001584 Winsberg, 2017, Redox-Flow Batteries: From Metals to Organic Redox-Active Materials, Angew. Chem. Int. Ed., 56, 686, 10.1002/anie.201604925 Kowalski, 2016, Recent advances in molecular engineering of redox active organic molecules for nonaqueous flow batteries, Curr. Opin. Chem. Eng., 13, 45, 10.1016/j.coche.2016.08.002 Er, 2015, Computational design of molecules for an all-quinone redox flow battery, Chem. Sci., 6, 885, 10.1039/C4SC03030C Burgess, 2016, Redox Active Polymers as Soluble Nanomaterials for Energy Storage, Acc. Chem. Res., 49, 2649, 10.1021/acs.accounts.6b00341 Hendriks, 2018, High-Performance Oligomeric Catholytes for Effective Macromolecular Separation in Nonaqueous Redox Flow Batteries, ACS Cent. Sci., 4, 189, 10.1021/acscentsci.7b00544 Montoto, 2016, Redox Active Colloids as Discrete Energy Storage Carriers, J. Am. Chem. Soc., 138, 13230, 10.1021/jacs.6b06365 Yan, 2022, Benzotriazoles as Low-Potential Anolytes for Non-aqueous Redox Flow Batteries, Chem. Mater., 34, 10594, 10.1021/acs.chemmater.2c02682 Robinson, 2019, Developing a Predictive Solubility Model for Monomeric and Oligomeric Cyclopropenium-Based Flow Battery Catholytes, J. Am. Chem. Soc., 141, 10171, 10.1021/jacs.9b04270 Hatakeyama-Sato, 2022, Charge-transport kinetics of dissolved redox-active polymers for rational design of flow batteries, RSC Adv., 13, 547, 10.1039/D2RA07208D Cheng, 2015, Accelerating Electrolyte Discovery for Energy Storage with High-Throughput Screening, J. Phys. Chem. Lett., 6, 283, 10.1021/jz502319n Huang, 2016, The lightest organic radical cation for charge storage in redox flow batteries, Sci. Rep., 6 Goulet, 2019, Extending the Lifetime of Organic Flow Batteries via Redox State Management, J. Am. Chem. Soc., 141, 8014, 10.1021/jacs.8b13295 Burgess, 2018, Modulation of the Electrochemical Reactivity of Solubilized Redox Active Polymers via Polyelectrolyte Dynamics, J. Am. Chem. Soc., 140, 2093, 10.1021/jacs.7b08353 Zhao, 2021, Coupled In Situ NMR and EPR Studies Reveal the Electron Transfer Rate and Electrolyte Decomposition in Redox Flow Batteries, J. Am. Chem. Soc., 143, 1885, 10.1021/jacs.0c10650 Fell, 2023, High-Throughput Electrochemical Characterization of Aqueous Organic Redox Flow Battery Active Material, ChemRxiv Jia, 2022, High-throughput design of Na–Fe–Mn–O cathodes for Na-ion batteries, J. Mater. Chem. A, 10, 251, 10.1039/D1TA07940A Dave, 2022, Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning, Nat. Commun., 13, 5454, 10.1038/s41467-022-32938-1 Su, 2014, Electrolyte Development for Non-Aqueous Redox Flow Batteries Using a High-Throughput Screening Platform, J. Electrochem. Soc., 161, A1905, 10.1149/2.0811412jes Duke, 2023, Towards Reproducible and Automated Electrochemistry, ChemRxiv Ryabova, 2005, Robotic sequential analysis of a library of metalloporphyrins as electrocatalysts for voltammetric nitric oxide sensors, Analyst, 130, 1245, 10.1039/b505284j Erichsen, 2005, Combinatorial microelectrochemistry: Development and evaluation of an electrochemical robotic system, Rev. Sci. Instrum., 76, 10.1063/1.1906106 Lindner, 2005, Combinatorial micro electrochemistry. Part 4: Cyclic voltammetric redox screening of homogeneous ruthenium(II) hydrogenation catalysts, Electrochem. Commun., 7, 1013, 10.1016/j.elecom.2005.07.002 Godfrey, 2016, A robotic platform for high-throughput electrochemical analysis of chalcopyrite leaching, Green Chem., 18, 1930, 10.1039/C5GC02306H Gerroll, 2023, Legion: An Instrument for High-Throughput Electrochemistry, ACS Meas. Sci. Au, 10.1021/acsmeasuresciau.3c00022 Wightman, 1988, Voltammetry with Microscopic Electrodes in New Domains, Science, 240, 415, 10.1126/science.240.4851.415 Rodríguez, 2023, Hard Potato: A Python Library to Control Commercial Potentiostats and to Automate Electrochemical Experiments, Anal. Chem., 95, 4840, 10.1021/acs.analchem.2c04862 Watkins, 2020, A combined SECM and electrochemical AFM approach to probe interfacial processes affecting molecular reactivity at redox flow battery electrodes, J. Mater. Chem. A, 8, 15734, 10.1039/D0TA00836B Pence, 2023, Automated Measurement of Electrogenerated Redox Species Degradation Using Multiplexed Interdigitated Electrode Arrays, ACS Meas. Sci. Au, 3, 62, 10.1021/acsmeasuresciau.2c00054 Cannes, 2003, Cyclic voltammetry and scanning electrochemical microscopy of ferrocenemethanol at monolayer and bilayer-modified gold electrodes, J. Electroanal. Chem., 547, 83, 10.1016/S0022-0728(03)00192-X Chen, 2019, Unscrambling illusory inhibition and catalysis in nanoparticle electrochemistry: Experiment and theory, Appl. Mater. Today, 16, 141, 10.1016/j.apmt.2019.05.002 Miao, 2002, Solution Viscosity Effects on the Heterogeneous Electron Transfer Kinetics of Ferrocenemethanol in Dimethyl Sulfoxide−Water Mixtures, J. Phys. Chem. B, 106, 1392, 10.1021/jp013451u Amatore, 2007, Theory and Experiments of Transport at Channel Microband Electrodes under Laminar Flows. 1. Steady-State Regimes at a Single Electrode, Anal. Chem., 79, 8502, 10.1021/ac070971y Sun, 2006, Kinetics of Electron-Transfer Reactions at Nanoelectrodes, Anal. Chem., 78, 6526, 10.1021/ac060924q Nicholson, 1964, Theory of Stationary Electrode Polarography. Single Scan and Cyclic Methods Applied to Reversible, Irreversible, and Kinetic Systems, Anal. Chem., 36, 706, 10.1021/ac60210a007 Bard, 2022 Burgess, 2015, Scanning Electrochemical Microscopy and Hydrodynamic Voltammetry Investigation of Charge Transfer Mechanisms on Redox Active Polymers, J. Electrochem. Soc., 163, H3006, 10.1149/2.0021604jes Bello, 2020, Mechanisms of Diffusive Charge Transport in Redox-Active Polymer Solutions, Macromolecules, 53, 7658, 10.1021/acs.macromol.0c01672 Chen, 2023, Machine learning in fundamental electrochemistry: Recent advances and future opportunities, Curr. Opin. Electrochem., 38 Kennedy, 2019, Automatically Identifying Electrode Reaction Mechanisms Using Deep Neural Networks, Anal. Chem., 91, 12220, 10.1021/acs.analchem.9b01891 Hoar, 2022, Electrochemical Mechanistic Analysis from Cyclic Voltammograms Based on Deep Learning, ACS Meas. Sci. Au, 2, 595, 10.1021/acsmeasuresciau.2c00045 Angello, 2022, Closed-loop optimization of general reaction conditions for heteroaryl Suzuki-Miyaura coupling, Science, 378, 399, 10.1126/science.adc8743 Shields, 2021, Bayesian reaction optimization as a tool for chemical synthesis, Nature, 590, 89, 10.1038/s41586-021-03213-y Baker, 2016, 1,500 scientists lift the lid on reproducibility, Nature, 533, 452, 10.1038/533452a Smith, 2022, Error, reproducibility and uncertainty in experiments for electrochemical energy technologies, Nat. Commun., 13, 6832, 10.1038/s41467-022-34594-x Hammer, 2021, Chemputation and the Standardization of Chemical Informatics, JACS Au, 1, 1572, 10.1021/jacsau.1c00303 Oh, 2023, Data from ‘The Electrolab: An open-source, modular platform for automated characterization of redox-active electrolytes’, Mendeley Data Oh, 2023, jrlLAB/ElectroLab: API to control the ElectroLab, Zenodo