A5073556042- Machine Learning in Materials Science
- Advanced Memory and Neural Computing
- Innovative Microfluidic and Catalytic Techniques Innovation
- Electrocatalysts for Energy Conversion
- Semiconductor materials and devices
- Catalysis for Biomass Conversion
- Ammonia Synthesis and Nitrogen Reduction
- Structural Engineering and Vibration Analysis
- Fuel Cells and Related Materials
- Microbial Metabolic Engineering and Bioproduction
- Nanotechnology research and applications
- Color Science and Applications
- Nanowire Synthesis and Applications
- Neutropenia and Cancer Infections
- Enzyme Catalysis and Immobilization
- Electrochemical sensors and biosensors
- Analytical Chemistry and Sensors
- Advanced battery technologies research
- Modular Robots and Swarm Intelligence
- Pigment Synthesis and Properties
- Innovations in Concrete and Construction Materials
- X-ray Diffraction in Crystallography
- Catalytic Processes in Materials Science
- Perovskite Materials and Applications
- Conducting polymers and applications
University of British Columbia
2019-2023
AstraZeneca (United States)
2014
Monash University
2001
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...
Electrocatalytic palladium membrane reactors (ePMRs) use electricity and water to drive hydrogenation reactions without forming H 2 gas.
AZD5099 (compound 63) is an antibacterial agent that entered phase 1 clinical trials targeting infections caused by Gram-positive and fastidious Gram-negative bacteria. It was derived from previously reported pyrrolamide antibacterials a fragment-based approach the ATP binding site of bacterial type II topoisomerases. The program described herein varied 3-piperidine substituent incorporated 4-thiazole substituents form seven-membered ring intramolecular hydrogen bond with 5-position...
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 Enzyme catalysis is used to generate approximately 50,000 tons of value-added chemical products per year. Nearly a quarter this production requires stoichiometric cofactor such as NAD + /NADH. Given that NADH expensive, it would be beneficial regenerate in way does not interfere with the enzymatic reaction. Water electrolysis could provide proton and electron equivalent necessary electrocatalytically convert NADH. However, form electrocatalytic regeneration challenged by formation...
Methyltetrahydrofuran (MTHF) can be derived from non-edible biomass and used to replace diesel fuel. This work highlights the selective MTHF production electrochemically-driven furfural hydrogenation.
This self-driving laboratory combines a robot for preparing and testing adhesive bonds with an optimizer to rapidly improve formulations.
The voltammetric behavior of the [Fe(CN)6]3-/4- couple at a glassy carbon rotating macrodisk electrode without added supporting electrolyte is shown to be in close ideal agreement with theory presented over wide range rotation and scan rates when concentration electroactive species used 50 mM. influences migration, uncompensated resistance, heterogeneous charge-transfer kinetics, inhomogeneous diffusion are well modeled by finite difference simulation scheme that affords excellent between...
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...
Discovering and optimizing commercially viable materials for clean energy applications typically takes over a decade. Self-driving laboratories that iteratively design, execute, learn from material science experiments in fully autonomous loop present an opportunity to accelerate this research. We report here modular robotic platform driven by model-based optimization algorithm capable of autonomously the optical electronic properties thin-film modifying film composition processing...
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 competing objectives. Here we report a self-driving laboratory, "Ada", that defines conductivities and processing temperatures for palladium films formed by combustion synthesis. Ada identified previously untested synthesis conditions resulted in discovery lower (below 200 {\deg}C) relative to prior art this technique (250...