Field dossier · from the corpus
Yield (engineering)
0predicted collisions
Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
Electrochemical ammonia synthesis via nitrate reduction on Fe single atom catalyst
Direct Conversion of Methane to Value-Added Chemicals over Heterogeneous Catalysts: Challenges and Prospects
Electrocatalytic reduction of CO2 to ethylene and ethanol through hydrogen-assisted C–C coupling over fluorine-modified copper
Product selectivity of photocatalytic CO2 reduction reactions
Splicing the active phases of copper/cobalt-based catalysts achieves high-rate tandem electroreduction of nitrate to ammonia
Enhancing grain-yield-related traits by CRISPR–Cas9 promoter editing of maize CLE genes
Recent work · 2024 onward
Data-Driven Design of HPDC Aluminum Alloys Using Machine Learning and Inverse Design
Data-Driven Exploration of Critical Factors for Single-Phase High-Entropy Oxide Anode Materials
Materials Informatics Approach to Cu/Nb Nanolaminate Microstructure Correlations with Yield Strength and Electrical Conductivity
Inverse design of high-performance glasses through an encoder-decoder machine learning approach toward materials discovery: Application to oxynitride glasses
Multi-objective prediction of Eu3+ doped double perovskite oxide phosphors with explainability and photoluminescence properties of novel Sr2ScNbO6:Eu3+ phosphors