A5088212059- Perovskite Materials and Applications
- Oxidative Organic Chemistry Reactions
- Quantum Dots Synthesis And Properties
- Particle physics theoretical and experimental studies
- Advanced Photocatalysis Techniques
- Software-Defined Networks and 5G
- Radical Photochemical Reactions
- Advanced Nanomaterials in Catalysis
- Cloud Computing and Resource Management
- Synthesis and Catalytic Reactions
- IoT and Edge/Fog Computing
- Asymmetric Synthesis and Catalysis
- Teaching and Learning Programming
- Chemical Reaction Mechanisms
- X-ray Diffraction in Crystallography
- Advanced Optical Network Technologies
- Smart Agriculture and AI
- VLSI and Analog Circuit Testing
- Cutaneous Melanoma Detection and Management
- Crystallization and Solubility Studies
- High-Energy Particle Collisions Research
- Big Data Technologies and Applications
- Data Management and Algorithms
- Multimedia Communication and Technology
- Marine Sponges and Natural Products
ETH Zurich
2023-2025
Swiss Federal Laboratories for Materials Science and Technology
2023-2025
Bilecik University
2024
Bilkent University
2021-2022
Sinop University
2020-2022
Colloidal quantum dots (QDs) are promising regenerable photoredox catalysts offering broadly tunable redox potentials along with high absorption coefficients. QDs have thus far been examined for various organic transformations, water splitting, and CO2 reduction. Vast opportunities emerge from coupling other homogeneous catalysts, such as transition metal complexes or dyes, into hybrid nanoassemblies exploiting energy transfer (ET), leveraging a large cross-section of long-lived triplet...
Lead halide perovskite quantum dots (LHP QDs) CsPbX3 generate immense interest as narrow-band emitters for displays, lasers, and light sources. All QD applications rely on suited engineering of surface capping ligands. The first generation LHP QDs employed oleic acid/oleyl amine have found only a limited use in photoredox catalysis. These catalysts been reported to be unstable decompose over the course reaction, thus reducing turnover numbers (TONs) limiting their synthetic ability. Herein,...
In this article, we describe the development of a new aerobic C–H oxidation methodology catalyzed by precious metal-free LaMnO3 perovskite catalyst. Molecular oxygen is used as sole oxidant in approach, obviating need for other expensive and/or environmentally hazardous stoichiometric oxidants. The electronic and structural properties catalysts were systematically optimized, reductive pretreatment protocol was proved to be essential acquiring observed high catalytic activities. It...
Lead halide perovskite quantum dots (QDs), the latest generation of colloidal QD family, exhibit outstanding optical properties, which are now exploited as both classical and light sources. Most their rather exceptional properties related to peculiar exciton fine-structure band-edge states, can support unique bright triplet excitons. The degeneracy excitons is lifted with energetic splitting in order millielectronvolts, be resolved by photoluminescence (PL) measurements single QDs at...
In this work, we developed an efficient method for the rapid construction of fluoranthene skeleton to access a variety substituted hydroxyfluoranthenes. The 1-iodo-8-alkynylnaphthalene derivatives, which serve as substrates key fluoranthene-forming step, were prepared via selective monoalkynylative Sonogashira reactions 1,8-diiodonaphthalene. domino reaction sequence involves sequential Suzuki–Miyaura coupling, intramolecular Diels–Alder reaction, and aromatization-driven ring-opening...
Abstract In this article, the presence and effects of polarization‐enhanced hydrogen bonding in 1,8‐dihydroxynaphthalene (1,8‐DHN) were investigated detail through a series experimental computational studies. First, conformation 1,8‐DHN, its ability to make intra‐ intermolecular bonds solid state by X‐ray crystallography, solution NMR spectroscopy, computationally density functional theory. Second, equilibrium binding constants, which determined 31 P‐NMR titration studies, demonstrated...
Lead halide perovskite quantum dots (QDs), the latest generation of colloidal QD family, exhibit outstanding optical properties which are now exploited as both classical and light sources. Most their rather exceptional related to peculiar exciton fine-structure band-edge states can support unique bright triplet excitons. The degeneracy excitons is lifted with energetic splitting in order millielectronvolts, be resolved by photoluminescence (PL) measurements single QDs at cryogenic...
This study presents machine learning models developed to classify two different species of raisins grown in Turkey. uses the Raisin Dataset from University California Irvine Machine Learning Repository. The contains 7 morphological features 900 raisin grains. an efficient way pre-processing data using Feature Selection with Random Forest determine most important features. By only one feature that was found be important, best model (Multi-Layer Perceptron) yields accuracy 94.07%,...
Two-dimensional (2D) bimetallic NixMn1–x(OH)y layered double hydroxide (LDH) nanostructures were synthesized and optimized as a remarkably active catalytic platform for low-temperature aerobic C–H bond activation in alkylarenes partial oxidation of alcohols using wide substrate (i.e., reactant) diverse solvent scope. The structure consists nonprecious earth-abundant metals that can effectively operate at low catalyst loadings, requiring only molecular oxygen the stoichiometric oxidant....
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This study presents an application of machine learning and deep techniques to the problem classifying decay modes Z boson, a fundamental particle in Standard Model physics. We focus on two specific modes: Zee Zmumu. Our dataset comprises simulated events with variables such as transverse momentum, pseudorapidity, phi angle leptons. The data is preprocessed via mapping method for categorical MinMaxScaler numerical data. compare performance several classification models, including K-Nearest...
In the field of high-energy physics, analyzing and elucidating data from particle collisions at CERN Large Hadron Collider (LHC) poses significant challenges due t o complexity high dimensionality data. Proton-proton LHC primarily involve strong interactions in which quark degrees freedom are involved, with electromagnetic processes characterized by small energy loss incident protons resulting multiplicity final state. A correlation can be established between impact parameter collision...