Neuro_LAMP aims to develop MOF-derived composite nanomaterials for multifunctional peripheral nerve interfaces. To address the two central challenges of electrode materials and electrode design simultaneously, the project combines MOF chemistry and bioelectronics, supported by advanced microscopy and data-driven modeling. Our approach uses tailored metal-organic frameworks (MOFs) integrated with flexible polymer substrates and transformed by a controlled laser-assisted photothermal process into patterned nanocomposites. These nanomaterials are intended to serve as implantable cuff microelectrodes for safe electrical stimulation, neural recording, and chemical sensing. By linking precursor chemistry, processing, structure, and device performance across the atom-to-device scale, we aim to optimize peripheral cuff electrodes for low impedance, high charge storage and charge-injection capacity, and long-term electrochemical and mechanical stability.