Results 141 to 150 of about 19,954 (275)
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
P-N-Compounds. From the Single Tetrahedral Cation to Framework Structures [PDF]
Horstmann, Stefan +2 more
core +1 more source
A Review Paper on Tribological and Mechanical Properties of Ternary Nitride based Coatings
Kamlesh V. Chauhan, Sushant K. Rawal
openalex +1 more source
Experimental Synthesis of Theoretically Predicted Multivalent Ternary Nitride Materials
Andriy Zakutayev +2 more
openalex +1 more source
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar +3 more
wiley +1 more source
Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley +1 more source
Synthesis and crystal structure of lithium phosphorus nitride Li7PN4. The first compound containing isolated PN4-tetrahedra [PDF]
Allred +12 more
core +1 more source
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
A New Conducting Ternary Nitride: Na Ta3N5(0≤x≤1.4)
Simon J. Clarke, Francis J. DiSalvo
openalex +1 more source

