A5019396866- Machine Learning in Materials Science
- Advanced Memory and Neural Computing
- Thin-Film Transistor Technologies
- Perovskite Materials and Applications
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Electrochemical Analysis and Applications
- Industrial Vision Systems and Defect Detection
- Innovative Microfluidic and Catalytic Techniques Innovation
- Semiconductor materials and devices
- Surface Roughness and Optical Measurements
- Electronic and Structural Properties of Oxides
- TiO2 Photocatalysis and Solar Cells
- Photochemistry and Electron Transfer Studies
- Electrocatalysts for Energy Conversion
- Synthesis and characterization of novel inorganic/organometallic compounds
- Crystallography and molecular interactions
- Advanced Photocatalysis Techniques
- Quantum Dots Synthesis And Properties
- Advanced battery technologies research
- CO2 Reduction Techniques and Catalysts
- Nanowire Synthesis and Applications
- Molecular Sensors and Ion Detection
- N-Heterocyclic Carbenes in Organic and Inorganic Chemistry
- Organophosphorus compounds synthesis
University of British Columbia
2016-2024
Trinity Western University
2014-2017
Western University
2014-2017
An autonomous laboratory for thin film discovery is used to optimize the doping and annealing of organic semiconductors.
Useful materials must satisfy multiple objectives, where the optimization of one objective is often at expense another. The Pareto front reports optimal trade-offs between these conflicting objectives. Here we use a self-driving laboratory, Ada, to define conductivities and processing temperatures for palladium films formed by combustion synthesis. Ada discovers new synthesis conditions that yield metallic lower (below 200 °C) relative prior art this technique (250 °C). This temperature...
We report here an enhancement in photovoltage for dye-sensitized solar cells (DSSCs) where halogen-bonding interactions exist between a nucleophilic electrolyte species (I(-)) and photo-oxidized dye immobilized on TiO2 surface. The triarylamine-based dyes under investigation showed larger rate constants regeneration (kreg) by the when heavier halogen substituents were positioned dye. open-circuit voltages (VOC) tracked these kreg values. This analysis of homologous series that differ only...
Mesoionic carbenes have found wide use as components of homogeneous catalysts. Recent discoveries have, however, shown that metal complexes such ligands also huge potential in photochemical research and the activation small molecules. We present here three ReI with mesoionic pyridyl-carbene ligands. The display reduction steps which were investigated via UV–vis–NIR–IR spectro-electrochemistry, these results point toward an EC mechanism. compounds emit visible range solution at room...
We report here the direct hydrogenation of O2 gas to form hydrogen peroxide (H2O2) using a membrane reactor without H2 gas. Hydrogen is sourced from water, and driven by electricity. Hydrogenation chemistry achieved hydrogen-permeable Pd foil that separates an electrolysis chamber generates reactive H atoms, where atoms react with H2O2. Our results show concentration H2O2 can be increased ∼8 times (from 56.5 443 mg/L) optimizing ratio methanol-to-water in chemical chamber, through catalyst...
Abstract A homologous series of donor–π–acceptor dyes was synthesized, differing only in the identity halogen substituents about triphenylamine (TPA; donor) portion each molecule. Each Dye‐X (X=F, Cl, Br, and I) immobilized on a TiO 2 surface to investigate how affect reaction between light‐induced charge‐separated state, (e − )/ + , with iodide solution. Transient absorption spectroscopy showed progressively faster reactivity towards nucleophilic more polarizable substituents: Dye‐F <...
The interactions between a surface-adsorbed dye and soluble redox-active electrolyte species in the dye-sensitized solar cell has significant impact on rate of regeneration photo-oxidized molecules open-circuit voltage device. Dyes must therefore be designed to encourage these interfacial interactions, but experimentally resolving how such weak affect electron transfer is challenging. Herein, we use X-ray absorption spectroscopy confirm halogen bonding can exist at dye-electrolyte interface....
Abstract The sensitivity of thin-film materials and devices to defects motivates extensive research into the optimization film morphology. This could be accelerated by automated experiments that characterize response morphology synthesis conditions. Optical imaging can resolve morphological in thin films is readily integrated but large volumes images produced such systems require analysis. Existing approaches automatically analyzing morphologies optical application-specific customization...
Functional coatings are used in a wide range of high surface-area technologies, such as low-E windows and photovoltaics. Solution-based typically less expensive to produce than vacuum-based coatings; however, it is generally more difficult high-quality using solution-based methods due lower control over the physical chemical processes involved. Here, we show how self-driving laboratory can be optimize spray coating parameters. For this demonstration, optimized combustion synthesis spray-cast...
Abstract A homologous series of donor–π–acceptor dyes was synthesized, differing only in the identity halogen substituents about triphenylamine (TPA; donor) portion each molecule. Each Dye‐X (X=F, Cl, Br, and I) immobilized on a TiO 2 surface to investigate how affect reaction between light‐induced charge‐separated state, (e − )/ + , with iodide solution. Transient absorption spectroscopy showed progressively faster reactivity towards nucleophilic more polarizable substituents: Dye‐F <...
thicknessML predicts film thickness from reflection and transmission spectra. Transfer learning enables prediction of different materials with good performance. also bridges the gap between simulation experiment.
Thin-film processes are ubiquitous in photovoltaics research and increasingly incorporated into high-throughput experimentation (HTE) equipment. However, HTE is limited by the slowest steps, accurate thickness measurements have emerged as a bottleneck. This study demonstrates rapid yet thin-film extraction leveraging machine learning (ML) combination with non-destructive optical (UV-Vis). We achieve 86.9% accuracy of prediction within 10-percentage-error bounds on simulated data.
Correction for ‘Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra perovskite thin films’ by Siyu Isaac Parker Tian et al. , Digital Discovery 2023, 2 1334–1346, https://doi.org/10.1039/D2DD00149G.