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Design of Programmable Mechanical Metamaterials PhD Metamaterials are artificially engineered materials with unique properties not found in natural substances. These materials offer remarkable capabilities in load carrying, dynamic impact, wave propagation control, and other physical phenomena. Programmable mechanical metamaterials represent an emerging class, allowing intelligent programming and control of mechanical properties such as stiffness, damping, thermal expansion, and shape memory behavior. This PhD aims to explore graph-based generative machine learning models for inversely generating metamaterials, thus merging the fields of Graph Neural Networks (GNNs) with mechanics, materials science, and additive manufacturing. This project represents a groundbreaking approach to material creation and discovery, bridging the gap between simulation and experimental data of 3D-printed metamaterials. The outcomes will establish new scientific foundations for engineering material design and innovative solutions.
Programme overview
Main Subject
Engineering - Mechanical
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Design of Programmable Mechanical Metamaterials PhD Metamaterials are artificially engineered materials with unique properties not found in natural substances. These materials offer remarkable capabilities in load carrying, dynamic impact, wave propagation control, and other physical phenomena. Programmable mechanical metamaterials represent an emerging class, allowing intelligent programming and control of mechanical properties such as stiffness, damping, thermal expansion, and shape memory behavior. This PhD aims to explore graph-based generative machine learning models for inversely generating metamaterials, thus merging the fields of Graph Neural Networks (GNNs) with mechanics, materials science, and additive manufacturing. This project represents a groundbreaking approach to material creation and discovery, bridging the gap between simulation and experimental data of 3D-printed metamaterials. The outcomes will establish new scientific foundations for engineering material design and innovative solutions.
Admission Requirements
3.2+
6.5+
92+
Essential Criteria: • Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mechanical, Material, or Computer Engineering. • A solid background in your engineering discipline and a dedication to design and manufacturing. • Ability to work independently, as part of a wider team, and with staff members. • Strong communication and excellent interpersonal skills. • Enthusiasm, passion, and interest in programming. Desirable Criteria: • An MSc in a relevant subject (e.g., Mechanical Engineering, Computer Science). • Experience with CAD, programming with MATLAB/Python, and Finite Element Modelling with Abaqus. (Applicants without these skills but a keen interest in learning is encouraged to apply.) This PhD project offers a unique opportunity to be at the forefront of a new realm in engineered material creation. Join us in bridging the gap between simulation and experimental data and contribute to the advancement of programmable mechanical metamaterials.
01 Apr 2025
3 Years
Apr
Jul
Domestic
4,786
International
27,500
Scholarships
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Design of Programmable Mechanical Metamaterials PhD
Loughborough University, Loughborough, United Kingdom
# 100QS Subject Rankings
36 monthsProgramme duration
27,500 Tuition Fee/year
01 Apr, 2025Application Deadline
Programme overview
Main Subject
Engineering - Mechanical
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Metamaterials are artificially engineered materials with unique properties not found in natural substances. These materials offer remarkable capabilities in load carrying, dynamic impact, wave propagation control, and other physical phenomena. Programmable mechanical metamaterials represent an emerging class, allowing intelligent programming and control of mechanical properties such as stiffness, damping, thermal expansion, and shape memory behavior.
This PhD aims to explore graph-based generative machine learning models for inversely generating metamaterials, thus merging the fields of Graph Neural Networks (GNNs) with mechanics, materials science, and additive manufacturing. This project represents a groundbreaking approach to material creation and discovery, bridging the gap between simulation and experimental data of 3D-printed metamaterials. The outcomes will establish new scientific foundations for engineering material design and innovative solutions.
Programme overview
Main Subject
Engineering - Mechanical
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Metamaterials are artificially engineered materials with unique properties not found in natural substances. These materials offer remarkable capabilities in load carrying, dynamic impact, wave propagation control, and other physical phenomena. Programmable mechanical metamaterials represent an emerging class, allowing intelligent programming and control of mechanical properties such as stiffness, damping, thermal expansion, and shape memory behavior.
This PhD aims to explore graph-based generative machine learning models for inversely generating metamaterials, thus merging the fields of Graph Neural Networks (GNNs) with mechanics, materials science, and additive manufacturing. This project represents a groundbreaking approach to material creation and discovery, bridging the gap between simulation and experimental data of 3D-printed metamaterials. The outcomes will establish new scientific foundations for engineering material design and innovative solutions.
Admission Requirements
This PhD project offers a unique opportunity to be at the forefront of a new realm in engineered material creation. Join us in bridging the gap between simulation and experimental data and contribute to the advancement of programmable mechanical metamaterials.
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
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Waste-derived Bioplastics for a Circular and Sustainable Food Packaging Economy PhD
Life Sciences and Medicine (6)
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Biomarkers of Aging PhD
Biomarkers of Aging PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Natural Sciences (6)
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Computational Modelling of Sustainable Alloys PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Novel Bicyclopentanes (BCP) Bioisosteres From Bench Stable [1.1.1]-Propellane Precursors PhD
Digital Twins for Biofilm Management PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (6)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD