The current study focuses on developing an inverse design methodology for 3D porous electrodes in a half-cell setup of redox flow cells (Section 2.1) by coupling a multiphysics computational model of transport processes in the electrode and an adjoint-based topology optimization algorithm. We first describe the computational model developed by deriving a set of partial differential equations (PDEs) according to the underlying flow and charge transport processes taking place at the electrode (Section 2.2). Second, we formulate the macroscale density-based topology optimization problem to maximize electrochemical performance under a controllable pumping power loss in a half-cell redox flow cell (Section 2.3). Moreover, we elaborate on the usage of high-performance computing (HPC) techniques to increase the level of detail and accuracy in feasible turnaround times (Section 2.4). Third, we transform the resulting designs into cellular architectures using TPMS structures and additively manufacture them using stereolithography 3D printing (Section 2.5). Fourth and finally, we discuss the results of the topology optimization and generated TPMS structures (Section 3). The overall modeling workflow is depicted in Fig. .