Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Analytical applications of gas-phase ion chemistry enabled by mass spectrometry.
Kang WY, Prentice BM.
europepmc +1 more source
Photodissociation Dynamics of the Zn<sup>+</sup>(Acetylene) and Zn<sup>+</sup>(Ethylene) Cation-π Complexes. [PDF]
Blais JRC, Rittgers BM, Duncan MA.
europepmc +1 more source
Enhanced fragmentation of water dications upon high Rydberg states. [PDF]
Zhou J +12 more
europepmc +1 more source
Catalytic Conversion of Nonequilibrium Hydrogen and Nitrogen Species from Low-Pressure Inductively Coupled Plasma to Ammonia. [PDF]
Zaplotnik R +6 more
europepmc +1 more source
Resonance-enhanced above-threshold ionization of ammonia under strong fields. [PDF]
Casasús IM +4 more
europepmc +1 more source
Elevated Pressure Effects on Plasma-Driven Ammonia Synthesis: Insights from Experiments and Kinetic Modeling. [PDF]
Sun J, Wang W, Lu C, Tu X.
europepmc +1 more source
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