CoMoO4 offers a cost‑effective route to accelerate OER kinetics, crucial for scalable hydrogen production. Advancing its design directly impacts the commercial viability of water‑splitting technologies.
The oxygen evolution reaction remains the rate‑limiting step in electrolytic water splitting, driving intense research into low‑cost, high‑performance catalysts that can replace precious‑metal oxides. Cobalt molybdate (CoMoO4) has emerged as a compelling candidate because it combines abundant cobalt and molybdenum, leverages strong bimetallic electronic interactions, and tolerates a wide range of crystal structures. Its intrinsic defects and mixed‑valence chemistry create multiple active sites, while the Mo⁶⁺ centers modulate electronegativity, enabling a tunable reaction pathway between the adsorbate evolution mechanism and lattice‑oxygen participation mechanism. These attributes position CoMoO4 at the forefront of next‑generation OER research.
Recent studies converge on three complementary modification strategies that push CoMoO4 performance toward industrial relevance. Electronic‑structure regulation—through heteroatom doping, oxygen vacancy creation, or band‑gap engineering—lowers the overpotential by optimizing adsorption energies of key intermediates. Surface reconstruction, often triggered under anodic bias, forms a thin, conductive oxyhydroxide layer that preserves catalytic activity while protecting the bulk material. Structural regulation, including nanowire arrays, hierarchical porosity, and strain engineering, maximizes exposure of active facets and facilitates mass transport. When applied synergistically, these tactics have yielded current densities exceeding 500 mA cm⁻² at modest cell voltages.
Despite these advances, several challenges impede large‑scale deployment. The dynamic nature of CoMoO4 under operating conditions complicates mechanistic interpretation, demanding real‑time, in‑situ spectroscopic and microscopic probes. Moreover, integrating multiple modification routes without compromising stability or scalability remains an open problem. Future research is expected to focus on multi‑strategy designs guided by machine‑learning‑driven materials discovery, coupled with operando characterization to map the evolution of active sites. Successfully bridging fundamental insights with manufacturable processes could unlock affordable, durable OER catalysts, accelerating the transition to a hydrogen‑based energy economy.
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