Fully Funded:

Innovative Design and Precision Characterization: Unleashing the Potential of Next-Gen Thin Films for High-Speed Wireless Communication

The Warwick-A*STAR Research Attachment Programme (ARAP) offers fully funded four-year PhD studentships in Interdisciplinary Research. We provide an exciting opportunity for students to grow as experimental scientists, undertaking research to the highest international standards whilst working for extended periods in collaborating laboratories at the University of Warwick and an A*STAR research institute in Singapore. Projects are designed and supervised jointly by a Warwick and an A*STAR supervisor and training and support is given at both locations. Students typically spend Years One and Four at Warwick and Years Two and Three in Singapore.

Project details:

Application Website: https://warwick.ac.uk/fac/sci/med/study/arap/projects/

Fully Funded:

Atomic-Level Defect Characterisation via Data Fusion

This project aims to enhance the understanding of 3D atomic structures and defects in materials using advanced imaging and computational techniques. We will integrate super-resolution computational imaging (ptychography), chemical spectroscopy (EELS), and density functional theory (DFT) to achieve high-resolution reconstructions of atomic configurations. By fusing data from these methods, we will improve both lateral and depth resolution while reducing electron induced sample damage. Machine learning will be employed to refine our models iteratively, leading to precise predictions of material properties, particularly around defects. This research will provide valuable insights into the physical characteristics that impact material performance.

Application Website: https://warwick.ac.uk/fac/sci/hetsys/apply/howtoapply/

High-Resolution Ferroic-ordering by Electron Ptychography

The emergence of ferroic orderings in materials at the atomically thin limit, including ferromagnetism and ferroelectricity, has attracted tremendous attention due to their novel physics and promising applications for future flexible nanoelectronics including artificial e-skin, flexible touch sensors and health monitors. Understanding the underlying physics behind the ferroic phenomena requires a high-resolution image technique that can directly visualize magnetic or electric fields in the materials at the nanometer, even down to atomic resolution. The aim of this project is to develop a new pioneering algorithm-driven imaging technique called ptychography in conjunction with machine learning and ultrafast detectors. We will work closely with Superconductor & Magnetics Group.

Developing in-situ Imaging Planform for Studying Low-dimensional Thin Film

Transition metal oxide (TMO) thin films are an intriguing class of electronic ionic material with diverse functional properties, including superconductivity, ferroelectricity, thermoelectricity, piezoelectricity, ferromagnetism, and multiferroicity[1]. This variety arises from the strong interplay between electron charge, orbital and spin angular momentum, and structural characteristics, enabling the development of functional devices that surpass the capabilities of standard semiconductors. The primary objective of this PhD project is to establish an advanced experimental capability by combining a MEMS chip with aberration-corrected TEM and the state-of-the-art ultrafast detectors at ePSIC (electron Physical Science Imaging Centre) and also with X-ray beamlines. This integration has great potential for directly visualizing atomic-scale evolution of domain structures in freestanding functional thin films during continuous deformation on sub-millisecond timescales.

Insight of Local Atomic Structure of Metal-Organic Frameworks via 4D STEM Imaging

Metal organic frameworks (MOFs) have been named as one of “the top ten emerging technologies in chemistry” by the International Union of Pure and Applied Chemistry (IUPAC). The properties of MOFs are directly influenced by various microstructures, including surfaces, interfaces, defects, and the interactions between the framework and guest species. Building on our previous work in cryogenic electron ptychography, our objective is to investigate the atomic-level structures of porous crystalline materials, including MOFs and COFs, allowing us to observe previously unattainable details such as atomic defects, host-guest interactions, and surface structures. We will work closely with the world-leading chemists at Warwick and Shanghai Tech University.

Machine Learning-powered Cryogenic Electron Ptychography For Bio-macromolecule Imaging

Ptychography is an emerging computational microscopy technique for acquiring images with resolution beyond the limits imposed by lenses, which has been applied to high-resolution x-ray imaging in synchrotron facilities and accurate wavefront-sensing in space telescopes. Rather than looking at something big or far-away, we are aiming to visualize the basic building blocks (such as proteins) of all life in three dimensions towards near-atomic resolution by developing ptychography on world-leading cryogenic electron microscopes (Nobel Prize-winning technique), further enhanced by artificial intelligence and machine learning. We will work closely with experimental experts at the medical research centre, the Rosalind Franklin Institute and structural biologists at the University of Oxford.