Enhancing Multi-Resonance Thermally Activated Delayed Fluorescence Emission via Through-Space Heavy-Atom Effect

Chemistry, Organic Chemistry, Physical Chemistry, Materials Chemistry, Materials Science, Organic Polymeric Materials,
Multi-Resonance Thermally Activated Delayed Fluorescence   Heavy-Atom Effect   Organic Light-Emitting Diodes   Narrow-Band Emission   Efficiency Roll-Off  

Academic Background Organic light-emitting diode (OLED) technology has made remarkable progress in recent years, especially in the field of thermally activated delayed fluorescence (TADF) materials. TADF materials achieve high-efficiency emission by converting triplet excitons into singlet excitons through the reverse intersystem crossing (RISC) pr...

Borohydride Oxidation-Water Reduction Fuel Cells Advanced by Local Hydroxyl Enrichment-Inhibited Borohydride Hydrolysis on Cu(0) Sites

Chemistry, Energy Chemistry, Catalysis, Engineering, Energy Engineering, Materials Science,
fuel cell   borohydride hydrolysis   copper doping   cobalt phosphide   electrocatalysis  

Academic Background Direct Borohydride Fuel Cells (DBFCs), as a potential carbon-neutral energy source, have attracted considerable attention due to their use of sodium borohydride (NaBH4) as the anode fuel. NaBH4 possesses advantages such as portability, non-toxicity, water solubility, and environmental stability, allowing DBFCs in theory to deliv...

Amorphous CuSBox Composite-Catalyzed Electrocatalytic Reduction of CO2 to CO: CO2 Demand-Supply-Regulated Performance

Chemistry, Energy Chemistry, Physical Chemistry, Catalysis, Materials Science,
electrocatalytic reduction   CO2   amorphous CuSBox   demand-supply relationship   gas diffusion electrode  

Academic Background As the issue of global climate change intensifies, reducing carbon dioxide (CO2) emissions and seeking sustainable energy solutions have become major directions in scientific research. Electrocatalytic CO2 reduction (CO2RR) is a green technology that converts CO2 into value-added chemicals and fuels, holding enormous application...

Chemical Space-Property Predictor Model of Perovskite Materials by High-Throughput Synthesis and Artificial Neural Networks

Chemical Space-Property Predictor Model of Perovskite Materials by High-Throughput Synthesis and Artificial Neural Networks

Chemistry, Energy Chemistry, Inorganic Chemistry, Materials Chemistry, Materials Science, Information Science, Artificial Intelligence,
perovskite   high-throughput synthesis   artificial neural network   chemical space   spectroscopic data   material prediction   machine learning  

Academic Background Perovskite materials have attracted extensive attention due to their wide applications in solar cells and other electronic devices. Their optical properties (such as bandgap and lattice vibrations) can be flexibly modulated by tuning the chemical composition. Although the prediction of optical properties from perovskite structur...

Boosting Narrow-Band Near-Infrared-Emitting Efficiency of Thulium by Lattice Modulation for Reflective Absorption Bioimaging

Boosting Narrow-Band Near-Infrared-Emitting Efficiency of Thulium by Lattice Modulation for Reflective Absorption Bioimaging

Chemistry, Inorganic Chemistry, Materials Chemistry, Materials Science,
near-infrared emission   thulium doping   lattice modulation   bioimaging   quantum efficiency  

Research Background Near-infrared (NIR) light holds significant application value in the biomedical field, particularly in non-invasive high-resolution imaging. NIR light can penetrate biological tissues and exhibits notable absorption differences for oxygenated and deoxygenated hemoglobin at specific wavelengths (e.g., 800 nm), making it an ideal ...