A5062564761- Perovskite Materials and Applications
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Machine Learning in Materials Science
- Multiferroics and related materials
- X-ray Spectroscopy and Fluorescence Analysis
- Ferroelectric and Piezoelectric Materials
- Magnetic and transport properties of perovskites and related materials
- Transition Metal Oxide Nanomaterials
- Advanced Thermoelectric Materials and Devices
- Magnetic properties of thin films
- Advanced Photocatalysis Techniques
- Ga2O3 and related materials
- Catalysis and Oxidation Reactions
- Advanced X-ray Imaging Techniques
- Machine Learning and ELM
- Solid-state spectroscopy and crystallography
University of Southampton
2024-2025
Haverford College
2020-2022
Fordham University
2021
The Bronx Defenders
2021
Massachusetts Institute of Technology
2021
Lawrence Berkeley National Laboratory
2021
Bronx High School of Science
2021
Abstract Multiferroic materials can host a plethora of intriguing phenomena due to the presence multiple ferroic properties that break both spatial inversion symmetry and time reversal at an observable scale. Hexagonal manganite multiferroics are particular interest as their symmetry-lowering phase transition be described by Mexican-hat-like potential energy surface. The early universe is proposed have undergone similar gives rise formation one-dimensional topologically protected defects...
Metal halide perovskite (MHP) derivatives, a promising class of optoelectronic materials, have been synthesized with range dimensionalities that govern their properties and determine applications. We demonstrate data-driven approach combining active learning high-throughput experimentation to discover, control, understand the formation phases different in morpholinium (morph) lead iodide system. Using robot-assisted workflow, we characterized two novel MHP derivatives distinct optical...
Halide perovskite materials have attracted great interest for applications in low-cost, solution-processed solar cells and other optoelectronics applications. The role of moisture device degradation crystal formation processes remains poorly understood. Here, we use a data-driven approach to discover the influence trace amounts water on by analyzing comprehensive dataset 8470 inverse-temperature crystallization lead iodide synthesis reactions, performed over 20 months using robotic system....
Combinatorial fusion analysis (CFA) is an approach for combining multiple scoring systems using the rank-score characteristic function and cognitive diversity measure. One example to combine diverse machine learning models achieve better prediction quality. In this work, we apply CFA synthesis of metal halide perovskites containing organic ammonium cations via inverse temperature crystallization. Using a data set generated by high-throughput experimentation, four individual (support vector...
Abstract Although the LiCoO 2 (LCO) cathode material has been widely used in commercial lithium ion batteries (LIB) and shows high stability, LIB’s improvements have several challenges that still need to be overcome. In this paper, we studied in-operando structural properties of LCO within battery cells using Bragg Coherent X-ray Diffraction Imaging identify ways optimise batteries’ cycling. We successfully reconstructed scattering phase variation (a fingerprint atomic displacement) a ≈ (1.6...
Discovery of new perovskite materials is motivated by a broad range applications and accelerated recent advances in machine learning (ML). We herein report dataset augmentation, benchmarking, interrogation for an ongoing experimental campaign consisting 9483 halide synthesis experiments. To address limitations previous work, we developed improved description the reactant concentrations experiments (validated against observations) performed quantifying excess volume mixing...
A spatiotemporal experimental route is reported for the antisolvent vapor diffusion crystal growth of metal halide perovskitoids. computational analysis combining automated image capture and modeling enables determination critical concentrations required nucleation from a single experiment. Five different solvent systems ten distinct organic ammonium iodide salts were investigated with lead iodide, which nine previously unreported compounds discovered. Automated mother liquor vials was used...
Vanadium dioxide (VO 2 ) is a strongly correlated material that exhibits number of structural phase transitions (SPT) near to room temperature considerable utility for various technological applications. When reduced the nanoscale, foreknowledge surface and interface properties VO during SPT can facilitate development devices based on . Herein, it shown Bragg coherent X‐ray diffractive imaging (BCDI) combined with machine learning an effective means recover three‐dimensional images single...
We use a data-driven approach to discover the influence of trace amounts water on perovskite crystal formation. Statistical analysis 8,470 inverse-temperature crystallization lead iodide synthesis reactions, performed over 20 months using robotic system, revealed discrepancies between empirical formation rate in experiments conducted under different ambient relative humidity conditions. used system conduct 1,296 controlled interventional which small were deliberately introduced reactions....
We use a data-driven approach to discover the influence of trace amounts water on perovskite crystal formation. Statistical analysis 8,470 inverse-temperature crystallization lead iodide synthesis reactions, performed over 20 months using robotic system, revealed discrepancies between empirical formation rate in experiments conducted under different ambient relative humidity conditions. used system conduct 1,296 controlled interventional which small were deliberately introduced reactions....