📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Graph-based Learning and design of Advanced Mechanical Metamaterials

Lead Research Organisation: University of Cambridge
Department Name: Engineering

Abstract

The emergence of additive manufacturing techniques has enabled the creation of complex 3D shapes with topological feature sizes spanning length scales from nanometres upwards. These manufacturing technologies have facilitated the creation of new materials (metamaterials) with previously unattainable properties such as light and recoverable ceramics. However, defects (deviations from the design) caused by manufacturing variabilities proliferate in topologically complex printed samples comprising millions of micro-scale elements. Traditional numerical simulations do not capture these a priori unknown defects, and thus the measured properties of fabricated metamaterials invariably deviate substantially from the designed/simulated properties. This low fidelity of the metamaterial simulation tools has left a vast portion of the metamaterial design space untapped. Leveraging recent foundational advances in machine learning and graph neural networks (GNNs), now is the ideal time for designing new additively manufactured materials with fully tailorable static and dynamic properties wherein, for example, a designer inputs a wave transmission spectrum from which a metamaterial that fully replicates the input response in an experimental setting is inversely designed and printed. Graph-based data-driven methods can address this challenge by their ability to learn from experimental data and efficiently encode the 3D material topology. The proposal will break new ground by exploiting breakthroughs in graph-based generative machine learning models to inversely generate metamaterials and thereby fuse the field of GNNs with mechanics, materials science, and additive manufacturing. This represents a fundamentally new realm of engineered material creation and discovery paradigm that will bridge the longstanding gap between simulation and experimental data of 3D printed metamaterials. The project will lay the scientific foundations for new engineering material designs and solutions.

Publications

10 25 50
publication icon
AlMahri S (2023) Underexcitation prevents crystallization of granular assemblies subjected to high-frequency vibration. in Proceedings of the National Academy of Sciences of the United States of America

publication icon
Carlsson J (2024) The compressive response of the filled Kelvin foam in European Journal of Mechanics - A/Solids

publication icon
Cheng L (2023) Effect of water content on the constitutive response of a cellulose foam in European Journal of Mechanics - A/Solids

publication icon
Das R (2024) Imbibition of water into a cellulose foam: The kinetics in Journal of the Mechanics and Physics of Solids

publication icon
Das R (2025) Capillary rise in a packing of glass spheres in Journal of the Mechanics and Physics of Solids

publication icon
Grega I (2022) Gravity enables self-assembly in Natural Sciences

publication icon
Grega I (2025) Graph neural networks for strut-based architected solids in Journal of the Mechanics and Physics of Solids

publication icon
Grega, I (2024) Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials in Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials

publication icon
Grega, I (2024) Neural rendering enables dynamic tomography in Neural rendering enables dynamic tomography

 
Description Engineering polymers, including rubbers, find extensive applications across diverse industries, from aerospace to medicine. Beginning with Hooke's law in the 1660s to the 1930s and 1940s work of Flory on polymer chains (1974 Nobel prize), the understanding of rubber elasticity was formalised in the 1940s via the Neo-Hookean model. This established the idea that, under isothermal conditions, stress is (non)linearly related to strain and no other state variable. Wang et al have made striking three-dimensional (3D) measurements to show that this fundamental concept needs to be revisited. They designed laboratory-based X-ray tomography experiments to show that a motile un-crosslinked phase exists within rubber and many engineering polymers, such as Nylon and HDPE. This adds an additional state variable and consequently, spatial variations of gradient of stress (or strain) play a role in setting their mechanical behaviour. The implication is that material properties of polymers cannot be defined solely in terms of the local material strain over-turning long established and pervasive assumptions.

The measurements of Wang et al. show that in the presence of spatial gradients in deformation (which are ubiquitous in applications): (i) There are significant local volume changes (±10%) over millimetre length scales, but the specimen overall is incompressible. (ii) Locally, the material volume can decrease even if the hydrostatic stress (pressure) is tensile, giving rise to an apparent negative bulk modulus. They have rationalised these observations within a new thermodynamic framework to replace the classical Neo-Hookean ideas of elasticity. These findings open new directions to understand and manipulate rubber elasticity and the behaviour of widely used polymers. Polymers represent a very wide class of materials that find significant applications especially in bioengineering. The work of Wang et al. opens new directions for the efficient design and application of this wide class of materials.
Exploitation Route The findings of Wang et al. revise some of the most established ideas in the mechanical behaviour of polymers. However, as with any ground-breaking study, this paper opens new avenues of research across many disciplines. The immediate ideas that come to mind are: (i) Wang et al. show via direct observations that the mobile phase within rubbers has a mobility that is more than 1000x higher than water in a hydrogel- what are the molecular mechanisms that endow such a high mobility to large polymeric molecules? (ii) A corollary to their study is that the mobile phase crystallises within the rubber much like a liquid crystal. Can this unique mixture of a liquid crystal within a solid be exploited for novel multi-functional applications? (iii) A key part of the study was the development of the X-ray technique (Flux Enhanced Tomography for Correlation). This technique provides, for the first time, a general method for generating measured 3D deformation field datasets. Such data is a key and currently missing ingredient for the burgeoning field of data-driven mechanics. The combination of such measurements with emerging machine learning (ML) techniques has the potential to fundamentally transform the nature of modelling of materials.
Sectors Education

 
Description Adaptable mechanical metamaterials with tailorable toughness and energy absorption
Amount $430,000 (USD)
Funding ID N000142412519 
Organisation US Navy 
Department US Office of Naval Research Global
Sector Academic/University
Country United States
Start 08/2024 
End 08/2028
 
Description Architected Materials for flow control
Amount $296,718 (USD)
Organisation Intellectual Ventures 
Sector Private
Country United States
Start 03/2024 
End 06/2025
 
Description CMMI-EPSRC Damage Tolerant 3D microarchitectured brittle materials
Amount £398,867 (GBP)
Funding ID EP/Y032489/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 01/2024 
End 12/2026
 
Description Multimaterial blisk design via high throughput tomographic full-field characterization and unsupervised ML models
Amount $1,726,065 (USD)
Funding ID HR001123S0029-METALS-FP 
Organisation University of Virginia (UVa) 
Sector Academic/University
Country United States
Start 02/2024 
End 02/2026
 
Description Using Data-Driven Mechanics to create high-fidelity soft composite material constitutive models for improved process simulation
Amount $578,139 (USD)
Funding ID #2024-UI-PA-086 
Organisation Boeing 
Sector Private
Country United States
Start 01/2025 
End 12/2027
 
Title Research Data supporting "3D observations provide striking findings in rubber elasticity" 
Description There are five .rar files, corresponding to Figure 1 to Figure 5. Please unzip to access the dataset. In each figure folder, there are subfolders (named as "A", "B", "C", ) that contain data of each subfigure, namely Figure 1A, Figure 1B, etc... There are four types of data format, namely vtk, xlsx, mat, and opju. Here is a detailed guidance 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact related to a PNAS paper by PI 
URL https://www.repository.cam.ac.uk/items/af0c1ebe-132f-4fa9-84c9-a7c28279eee8
 
Description Hexcel research collaboration 
Organisation Hexcel Composites Ltd
Country United Kingdom 
Sector Private 
PI Contribution collaborative work on wire knotting
Collaborator Contribution knowledge exchange
Impact paper
Start Year 2022
 
Description Ivan Grega (PhD student) on secondment to Mila - Quebec AI Institute 
Organisation Mila - Quebec AI Institute
Country Canada 
Sector Private 
PI Contribution PhD student expanded his knowledge
Collaborator Contribution knowledge transfer
Impact papers
Start Year 2024
 
Title Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials 
Description This is the code for "Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials" Work presented at the International Conference on Learning Representations (ICLR) 2024. Link to paper: https://openreview.net/forum?id=smy4DsUbBo https://arxiv.org/abs/2401.16914 
Type Of Technology Software 
Year Produced 2024 
Open Source License? Yes  
Impact Work presented at the International Conference on Learning Representations (ICLR) 2024. 
 
Description ASME meeting - Portland, Oregon, USA 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact meeting other academics in our field
Year(s) Of Engagement Activity 2024
 
Description Barty Wardell - talk at EuroMech 2023 conference Eindhoven, Netherlands 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact presenting research
Year(s) Of Engagement Activity 2023
 
Description EMMC19 - Talk 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact giving presentation
Year(s) Of Engagement Activity 2024
 
Description EMMC19 Madrid, Spain - Talk by Ivan Grega 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Presenting research
Year(s) Of Engagement Activity 2024
 
Description EMMC19 Madrid, Spain - Talk by Dr Vatsa Gandi 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Presenting research
Year(s) Of Engagement Activity 2024
 
Description EMMC19 Madrid, Spain - Talk by Dr Zifan Wang 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Presenting research
Year(s) Of Engagement Activity 2024
 
Description EMMC19 Madrid, Spain - Talk by Dr Shuvrangsu Das 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Presenting research
Year(s) Of Engagement Activity 2024
 
Description ETH visit 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact Workshop on advances on fracture mechanics for post-grad students
Year(s) Of Engagement Activity 2023
 
Description EuroMech Symposium Sirmione, Italy 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact meetings with other academics
Year(s) Of Engagement Activity 2023
 
Description EuroMech symposium Sirmione 2023 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Giving a presentation
Year(s) Of Engagement Activity 2023
 
Description Keynote lecture at IUTAM symposium 'Frontiers of Solid Mechanics for Energy Transition' 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Talk to solids mechanics community
Year(s) Of Engagement Activity 2024
 
Description Plenary Lecture CFRAC 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Plenary lecture at the CFRAC2023 in Prague
Year(s) Of Engagement Activity 2023
 
Description RAM3 conference - Rome, Italy 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact presenting my work
Year(s) Of Engagement Activity 2024
 
Description SES Prager medal lecture 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Prager Medal Lecture
Year(s) Of Engagement Activity 2022
 
Description Talk at EMMC 19 Madrid Spain 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact meetings with other academics
Year(s) Of Engagement Activity 2024
 
Description University of California Santa Barbra - Workshop 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact working with colleagues
Year(s) Of Engagement Activity 2024
 
Description Visit to MIT 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Presenting my work to colleagues
Year(s) Of Engagement Activity 2024
 
Description Visit to Princeton University 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Presenting my work to colleagues
Year(s) Of Engagement Activity 2024
 
Description walker lecture a&m 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact Named lecture "Walker Eminent lecture" at Texas A&M
Year(s) Of Engagement Activity 2023