A-Lab: converging AI and robotics for battery materials.
Jose Recatala Gomez a b
a Department of Chemistry, Department of Materials Science and Engineering, University of California, Berkeley 94720
b Berkeley Education Alliance for Research in Singapore (BEARS)
Proceedings of MATSUS Fall 2026 Conference (MATSUSFall26)
D7 High Throughput Electrode Synthesis and Manufacturing
Palma, Spain, 2026 October 26th - 30th
Organizers: Dries De Sloovere, Nadia Farag and Chengyin Fu
Invited Speaker, Jose Recatala Gomez, presentation 428
Publication date: 22nd July 2026

Autonomous laboratories aim to close the gap between the rates of computational screening and experimental realization of novel materials. In this talk, we present an overview of A-Lab, an autonomous laboratory for the accelerated synthesis of battery materials. A-Lab combines autonomous solid-state synthesis with multimodal characterization techniques, such as X-ray diffraction and energy-dispersive X-ray spectroscopy. We also discuss expanding these capabilities to include non-equilibrium synthesis, enabling tunable heating and cooling rates and opening avenues to investigate synthesis pathways far from equilibrium. Finally, we showcase an example of using this framework to achieve controllable particle size distribution in the one-step solid-state synthesis of single crystal (SC) Li Cathode Active Materials (CAM) with moderate contents of Ni. In particular, we investigate the effect of various Ni and Li precursor combinations on the reaction pathway and optimal reaction and growth temperature boundaries using an in-situ X-ray diffractometer (XRD) with heating capability. In parallel, we investigate the crystallite and particle size distribution and elemental homogeneity using automated multimodal characterizations composed of Scanning Electron Microscopy (SEM) imaging, Energy Dispersive X-ray Spectroscopy (EDS), and ex-situ XRD integrated with the robotic synthesis.

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