Advancing next-generation proton exchange membrane fuel cell design through multi-physics and AI modeling
This Perspective identifies key challenges and opportunities of three-dimensional multi-physics and artificial intelligence modeling for predictive temporal multi-physics distribution, aiming to advance the development of next-generation fuel cells.
Interfacial characterization in solid-state lithium metal batteries: advances in temporal, spatial, and energy resolution
Multidimensional time-, spatial-, and energy-resolved characterisation reveals buried interfacial mechanisms in solid-state lithium metal batteries.
Describing critical barriers in commercial deployment of CO2 capture and utilization technologies
Despite decades of research on CO2 capture and conversion, translating laboratory advances into products for widespread public use remains elusive.
Review Article
Towards inline ultrasonic characterisation of battery slurry mixing: opportunities, challenges, and perspectives
Inefficiencies in the slurry mixing stage are a major factor in high scrap rates in battery manufacturing, thus hindering sustainable production.
Lattice-coherent epitaxial surface engineering in highly stable Co-free ultrahigh-Ni cathodes
Lattice-coherent epitaxial surface and refined primary particles provide both high-quality surface chemistry and remarkable cycling stability for Co-free ultrahigh-Ni cathodes.
An amino acid-based functional additive enables fast polyiodide conversion kinetics for durable Zn–I2 batteries
D-penicillamine (DPL) additive holds strong adsorption energy for iodine species and low Gibbs free energy for iodine reduction reaction, which contributes to fast iodine redox kinetics and shuttle-free polyiodides.
Unveiling the mechanism of lithium-mediated nitrogen reduction via operando X-ray scattering in a flow cell with hydrogen oxidation
Operando GI WAXS in a flow cell with HOR revealed LiNH2 as the only stable crystalline intermediate in the lithium mediated nitrogen reduction reaction (Li-NRR) and the unique solid electrolyte interphase (SEI) formed by diglyme electrolytes.
Paper
Machine learning-accelerated discovery of multi-cation entropy-stabilized NASICON solid electrolytes with 10 000 hours of stable Na plating/stripping for all-solid-state sodium batteries
Machine learning (ML)-guided entropy engineering approach discovers a medium-entropy NASICON solid electrolyte (Na3.5Zr1.0Ti0.5Lu0.5Si2PO12) with 1.3 mS cm−1 conductivity, 10 000 hours of Na cycling, and superior battery performance.