- Electrocatalysts for Energy Conversion
- Machine Learning in Materials Science
- Catalytic Processes in Materials Science
- Advanced Nanomaterials in Catalysis
- Covalent Organic Framework Applications
- Advanced Memory and Neural Computing
- Ga2O3 and related materials
- Energy, Environment, Economic Growth
- Semiconductor materials and devices
- Advanced Photocatalysis Techniques
- Sustainable Industrial Ecology
- MXene and MAX Phase Materials
- Environmental Sustainability in Business
University of Science and Technology of China
2023-2025
Beijing Union University
2023
Hefei National Center for Physical Sciences at Nanoscale
2023
Guizhou University
2012
Ru-based electrocatalysts hold great promise for developing affordable proton exchange membrane (PEM) electrolyzers. However, the harsh acidic oxidative environment of oxygen evolution reaction (OER) often causes undesirable overoxidation Ru active sites and subsequent serious activity loss. Here, we present an ultrathin conformal depletion layer attached to Schottky heterojunction core/shell RuCo/RuCoO
<title>Abstract</title> The vast compositional space of high-entropy materials offers unprecedented opportunities for the development powerful catalysts. However, their inverse design remains unfeasible due to lack robust theoretical frameworks and high-throughput experimental tools. This study demonstrates a practical approach that integrates spectroscopic descriptors, generative machine learning, robotic platform synthesize optimize catalyst composition oxygen evolution reaction (OER)....
Optimum conditions of germanium extractions were investigated from a sulphuric acid zinc solution by using kind extractant TOA, complexing agent C4H6O6and improving reagent C12H27O4P, in addition to kerosene as diluent and NaOH stripping agent. The results show that this process has the following advantages: simplicity flowsheet, good selectivity, high recovery availability reagents. optimum extraction are TOA 30%, 5%, 65%. O/A =1/8, mass ratio 12-16, at normal temperature,3-5 min.The back...