Javier Heras‐Domingo
Institut Català d'Investigació Química(ES)
Publications by Year
Research Areas
Electrocatalysts for Energy Conversion, Machine Learning in Materials Science, Catalytic Processes in Materials Science, Advanced Photocatalysis Techniques, Catalysis and Oxidation Reactions
Most-Cited Works
- → Open Catalyst 2020 (OC20) Dataset and Community Challenges(2021)669 cited
- → The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts(2023)268 cited
- → Atomically Dispersed Iridium on Indium Tin Oxide Efficiently Catalyzes Water Oxidation(2020)75 cited
- → Pourbaix Machine Learning Framework Identifies Acidic Water Oxidation Catalysts Exhibiting Suppressed Ruthenium Dissolution(2024)67 cited
- → Quantitative Description of Metal Center Organization and Interactions in Single‐Atom Catalysts(2023)39 cited
- → Importance of the oxyl character on the IrO2 surface dependent catalytic activity for the oxygen evolution reaction(2021)39 cited
- → Water Adsorption on MO2 (M = Ti, Ru, and Ir) Surfaces. Importance of Octahedral Distortion and Cooperative Effects(2019)35 cited
- → An Introduction to Electrocatalyst Design using Machine Learning for\n Renewable Energy Storage(2020)35 cited
- → Interaction between Ruthenium Oxide Surfaces and Water Molecules. Effect of Surface Morphology and Water Coverage(2018)22 cited
- → Applying Large Graph Neural Networks to Predict Transition Metal Complex Energies Using the tmQM_wB97MV Data Set(2023)20 cited