battery manufacturing teams

Abstract: Transition-metal-based batteries rely on critical elements such as lithium, cobalt, and nickel. Their extraction creates environmental and supply-chain challenges. Organic electrode materials (OEMs) reduce this reliance and provide broad molecular tunability. However, OEM-based batteries still show limited long-term cycling stability. Their design also requires the joint optimization of coupled metrics such as voltage, specific capacity, capacity retention, and energy density. These metrics depend on the full battery stack and on the interactions among its components rather than on the active material alone. In our previous work, we developed a data-fusion multi-task framework for average discharge voltage and first-cycle specific capacity. Both targets are single-valued. Here, we extend that framework to multi-horizon prediction by predicting a property at every cycle of a discharge trajectory rather than at a single cycle. Our multi-fidelity and Multi-horizon Deep Operator Network learns DFT redox potentials and cycle-dependent specific-capacity trajectories within one model. We train it on complete battery-stack representations and usage conditions, so it learns battery-stack interactions rather than cathode-only effects. This framework supports long-term property prediction, inverse design, and process optimization for organic battery systems.

Abstract: Drying battery electrodes faster saves energy but drives dissolved binder toward the film surface, depleting the current-collector interface and weakening adhesion. Models of this migration stop convecting the binder when film consolidation ends, and models of the subsequent pore emptying omit the binder or start from an assumed binder field, so no simulation has followed binder convection through both stages that a drying schedule acts on. This study presents a continuous simulation of the dissolved binder field across both stages, driven by the published drying rates and completed by effective descriptions of the two questions the base transport physics leaves open: where the liquid of the consolidating film carries the binder, and when the binder stops moving as the pores empty. With a single parameter set, the simulation reproduces three types of published measurements: the change of the surface-to-interface binder ratio with drying rate over a factor of 5.6 and the surface and interface binder levels of films six times thicker; concentration profiles through the film interior; and the response of the interface binder to the time at which the drying rate is switched mid-process. Applied without further adjustment to a published three-stage schedule, the model reproduces the shortened drying and the full interface recovery when the rate is lowered early, and shows that its final high-rate stage begins after the binder has stopped. Combined with a coater-scale process model, the model can be used to identify operating points for electrode production that improve energy efficiency and product quality together.