Polarised rheo-microscopy and dynamic coarse-grained modelling of hydrogels

Description

Gels and other yield stress fluids exhibit diverse structures and flow behaviours that are governed by complex molecular-scale assemblies. For example, different gel structure leads to different “yielding” processes that are critical for successful material performance and properties (e.g. brittle/ductile). Understanding this structure-flow relationship from a multidisciplinary perspective is essential to advance materials processing and additive manufacturing technologies using soft matter. This project will advance the state of the art by bringing together experiments and simulations to reconcile bulk and microscopic dynamic behaviours using lyotropic liquid crystals (e.g. Pluronic F127 block copolymers) as a model system.

This multiscale characterisation will facilitate the design of formulations for 3D printing and drug delivery systems that exploit different liquid crystalline structures at the mesoscale. The successful candidate will use cutting edge rheology (rheo-microscopy combined with advanced large amplitude oscillatory shear analyses),[1-3] scattering and simulation techniques to probe the assembly of lyotropic liquid crystalline phases and their disruption under shear. Enhanced sampling molecular dynamics and non-equilibrium simulations will reveal how applied shear influences the structure of mesoscale assemblies to guide the interpretation of experiments.[4-6]

This project is supervised by Dr Esther García-Tuñón, Dr Aaron Finney and Dr Will Sharratt. The supervisory team has the perfect blend of expertise required for supervision and training of the student. Any informal enquiries about the project can be directed to Dr Esther.GTunon@liverpool.ac.uk.

The global need for researchers with capabilities in materials chemistry, digital intelligence and automation is intensifying because of the growing challenge posed by Net Zero and the need for high-performance materials across multiple sectors. The disruptive nature of recent advances in artificial intelligence (AI), robotics, and emerging quantum computing offers timely and exciting opportunities for PhD graduates with these skills to make a transformative impact on both R&D and society more broadly.

The University of Liverpool EPSRC Centre for Doctoral Training in Digital and Automated Materials Chemistry is therefore offering multiple studentships for students from backgrounds spanning the physical and computer sciences to start in October 2025. These students will develop core expertise in robotic, digital, chemical and physical thinking, which they will apply in their domain-specific research in materials design, discovery and processing. By working with each other and benefiting from a tailored training programme they will become both leaders and fully participating team players, aware of the best practices in inclusive and diverse R&D environments.

This training is based on our decade-long development of shared language and student supervision between the physical, engineering and computer sciences, and takes place in the Materials Innovation Factory (MIF), the largest industry-academia colocation in UK physical science. The training content has been co-developed with 35 industrial partners and is designed to generate flexible, employable, enterprising researchers who can communicate across domains.

 

Applicant Eligibility

Candidates will have, or be due to obtain, a Master’s Degree or equivalent related to Physical Science, Engineering or Computational Science. Exceptional candidates with a First Class Bachelor’s Degree in an appropriate field will also be considered.

 

Application Process

Applicants are advised to apply as soon as possible no later than 17th February 2025. The CDT will hold two rounds of applications assessment:

  • Assessment Round 1: for all applications received between 11th December 2024 – 15th January 2025.
  • Assessment Round 2: for all applications received between 16th January 2025 – 17th February 2025

 

Applicants who wish to be considered in Assessment Round 1 must apply by 15th January 2025. Projects will be closed when suitable candidate has been identified (this could be before the 17th February 2025 deadline).

Please review our guide on “How to Apply carefully and complete the online postgraduate research application form to apply for this PhD project in Materials Engineering.

We strongly encourage candidates to get in touch with the supervisory team to get a better idea of the project.

We want all our Staff and Students to feel that Liverpool is an inclusive and welcoming environment that actively celebrates and encourages diversity. We are committed to working with students to make all reasonable project adaptations including supporting those with caring responsibilities, disabilities or other personal circumstances. For example, if you have a disability you may be entitled to a Disabled Students Allowance on top of your studentship to help cover the costs of any additional support that a person studying for a doctorate might need as a result.

 

Availability

Open to students worldwide

Funding information

Funded studentship

The EPSRC funded Studentship will cover full tuition fees of £4,786 pa. and pay a maintenance grant for 4 years, starting at the UKRI minimum of £19,237 pa. for academic year 2024-2025 (rates for 2025-2026 TBC). The Studentship also comes with a Research Training Support Grant to fund consumables, conference attendance, etc.

EPSRC Studentships are available to any prospective student wishing to apply including both home and international students. While EPSRC funding will not cover international fees, a limited number of scholarships to meet the fee difference will be available to support outstanding international students.

Supervisors

References

  1. Agrawal, R. and E. García-Tuñón, Interplay between yielding,‘recovery’, and strength of yield stress fluids for direct ink writing: new insights from oscillatory rheology. Soft Matter, 2024.
  2. García-Tuñón, E., et al., Fourier-transform rheology and printability maps of complex fluids for three-dimensional printing. Physics of Fluids, 2023. 35(1).
  3. Ling, B., et al., 3D‐Printed Porous Organic Cages for Gas Filtration: Fabrication and Flow Simulations. Advanced Functional Materials, 2024: p. 2405320.
  4. Finney, A. R. and Salvalaglio, M., Molecular simulation approaches to study crystal nucleation from solutions: Theoretical considerations and computational challenges, WIREs Computational Molecular Science, 2024. 14(1): e1697.
  5. Li et al., Nucleation of Biomolecular Condensates from Finite-Sized Simulations, The Journal of Physical Chemistry Letters, 2023. 14(7): p. 1748-1755.
  6. Finney, A. R. and Salvalaglio, M., A variational approach to assess reaction coordinates for two-step crystallization, The Journal of Chemical Physics, 2023. 158: 094503.