All-oxide-based photovoltaics (PVs)
encompass the potential for
extremely low cost solar cells, provided they can obtain an order
of magnitude improvement in their power conversion efficiencies. To
achieve this goal, we perform a combinatorial materials study of metal
oxide based light absorbers, charge transporters, junctions between
them, and PV devices. Here we report the development of a combinatorial
internal quantum efficiency (IQE) method. IQE measures the efficiency
associated with the charge separation and collection processes, and
thus is a proxy for PV activity of materials once placed into devices,
discarding optical properties that cause uncontrolled light harvesting.
The IQE is supported by high-throughput techniques for bandgap fitting,
composition analysis, and thickness mapping, which are also crucial
parameters for the combinatorial investigation cycle of photovoltaics.
As a model system we use a library of 169 solar cells with a varying
thickness of sprayed titanium dioxide (TiO2) as the window
layer, and covarying thickness and composition of binary compounds
of copper oxides (Cu–O) as the light absorber, fabricated by
Pulsed Laser Deposition (PLD). The analysis on the combinatorial devices
shows the correlation between compositions and bandgap, and their
effect on PV activity within several device configurations. The analysis
suggests that the presence of Cu4O3 plays a
significant role in the PV activity of binary Cu–O compounds.