Affordable Automated Modules for Lab-Scale High-Throughput Synthesis of Inorganic Materials.

Journal: Chemistry (Weinheim an der Bergstrasse, Germany)
Published Date:

Abstract

The development of sustainable advanced materials is increasingly driven by the need for sustainable, faster, scalable, and more efficient research workflows. Advancements in computational screening, high-throughput experimentation, and artificial intelligence (AI) are accelerating progress in materials discovery. To fully leverage the benefits of these complementary approaches, the implementation of materials acceleration platforms (MAPs) and self-driving laboratories (SDL) has emerged as a promising strategy. Here, we present the development of a semi-automated station for the lab-scale high-throughput synthesis (HTS) of inorganic materials, as part of the Materials Acceleration and Innovation plaTform for ENergy Applications (MAITENA). The system integrates two in-house-designed liquid-handling modules capable of performing sol-gel, Pechini, solid-state, and hydro/solvothermal syntheses. Each module enables the preparation of several dozen gram-scale samples per week with high reproducibility and minimal manual intervention. The system's capabilities are demonstrated through three case studies involving Li-ion battery materials. Results highlight the module's utilization for efficient screening of compositions and synthesis conditions to vary materials' properties. This accessible and modular infrastructure offers a practical route to implementing high-throughput strategies in inorganic materials research.

Authors

  • Iciar Monterrubio
    Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, Vitoria-Gasteiz, 01510, Spain.
  • Joseba Orive
    Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, Vitoria-Gasteiz, 01510, Spain.
  • Maha Ismail
    Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, Vitoria-Gasteiz, 01510, Spain.
  • Evaristo Castillo
    Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, Vitoria-Gasteiz, 01510, Spain.
  • Javier García
    Computer Science Department, Universidad Carlos III de Madrid, 28911 Leganés, Spain.
  • Ismael Redondo
    Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, Vitoria-Gasteiz, 01510, Spain.
  • Jean-Luc Dauvergne
    Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, Vitoria-Gasteiz, 01510, Spain.
  • Amaia Saracibar
    Physical Chemistry Department, Pharmacy Faculty, Basque Country University (UPV/EHU), Álava, Vitoria-Gasteiz, 01006, Spain.
  • Javier Carrasco
    ALISTORE-European Research Institute, FR CNRS 3104, Hub de l'Energie, 15, rue Baudelocque, 80039 Amiens Cedex, France.
  • Montse Casas-Cabanas
    Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, Vitoria-Gasteiz, 01510, Spain.
  • Marine Reynaud
    ALISTORE-European Research Institute, FR CNRS 3104, Hub de l'Energie, 15, rue Baudelocque, 80039 Amiens Cedex, France.

Keywords

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