Completed Plants, Animals & Ecology Chemistry

Centre for Nature Inspired Engineering (CNIE): Addressing Challenges in Sustainability and Scalable Manufacturing

In plain English

AI plain-English summary

A tree’s branching network moves water from root to leaf with almost no energy loss—engineers want to build fuel cells and desalination membranes that do the same. Most attempts to copy nature have been superficial, grabbing a surface texture or shape without understanding the underlying physics. This Centre takes a different approach: it identifies three fundamental mechanisms—hierarchical transport networks, force balancing, and dynamic self-organisation—that evolution has perfected over billions of years, then translates those mechanisms into synthetic systems using advanced manufacturing and high-performance computing. If the approach works, fuel cells could use far less precious catalyst while performing better, water desalination membranes could filter salt faster and more selectively than current designs, and buildings or cities could be designed as adaptive, self-healing systems modelled on bacterial communities. The research is applied from the start, with industrial partners ready to scale prototypes. But the deeper goal is to establish a repeatable scientific method for borrowing nature’s tricks—so that future engineers can systematically turn biological principles into manufactured solutions for energy, water, and materials.

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Evolution over the eons has made Nature a treasure trove of clever solutions to sustainability, resilience, and ways to efficiently utilize scarce resources. The Centre for Nature Inspired Engineering will draw lessons from nature to engineer innovative solutions to our grand challenges in energy, water, materials, health, and living space. Rather than imitating nature out of context or succumbing to superficial analogies, research at the Centre will take a decidedly scientific approach to uncover fundamental mechanisms underlying desirable traits, and apply these mechanisms to design and synthesise artificial systems that hereby borrow the traits of the natural model. The Centre will initially focus on three key mechanisms, as they are so prevalent in nature, amenable to practical implementation, and are expected to have transformational impact on urgent issues in sustainability and scalable manufacturing. These mechanisms are: (T1) "Hierarchical Transport Networks": the way nature bridges microscopic to macroscopic length scales in order to preserve the intricate microscopic or cellular function throughout (as in trees, lungs and the circulatory system); (T2) "Force Balancing": the balanced use of fundamental forces, e.g., electrostatic attraction/repulsion and geometrical confinement in microscopic spaces (as in protein channels in cell membranes, which trump artificial membranes in selective, high-permeation separation performance); and (T3) "Dynamic Self-Organisation": the creation of robust, adaptive and self-healing communities thanks to collective cooperation and emergence of complex structures out of much simpler individual components (as in bacterial communities and in biochemical cycles). Such nature-inspired, rather than narrowly biomimetic approach, allows us to marry advanced manufacturing capabilities and access to non-physiological conditions, with nature's versatile mechanisms that have been remarkably little employed in a rational, bespoke manner. High-performance computing and experimentation now allow us to unravel fundamental mechanisms, from the atomic to the macroscopic, in an unprecedented way, providing the required information to transcend empiricism, and guide practical realisations of nature-inspired designs. In first instance, three examples will be developed to validate each of the aforementioned natural mechanisms, and simultaneously apply them to problems of immediate relevance that tie in to the Grand Challenges in energy, water, materials and scalable manufacturing. These are: (1) robust, high-performance fuel cells with greatly reduced amount of precious catalyst, by using a lung-inspired architecture; (2) membranes for water desalination inspired by the mechanism of biological cell membranes; (3) high-performance functional materials, resp. architectural design (cities, buildings), informed by agent-based modelling on bacteria-inspired, resp. human communities, to identify roads to robust, adaptive complex systems. To meet these ambitious goals, the Centre assembles an interdisciplinary team of experts, from chemical and biochemical engineering, to computer science, architecture, materials, chemistry and genetics. The Centre researchers collaborate with, and seek advice from industrial partners from a wide range of industries, which accelerates practical implementation. The Centre has an open, outward looking mentality, inviting broader collaboration beyond the core at UCL. It will devote significant resources to explore the use of the validated nature-inspired mechanisms to other applications, and extend investigation to other natural mechanisms that may inform solutions to problems in sustainability and scalable manufacturing.

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Researchers

Alan Penn (Co-Investigator)Andrew Pomiankowski (Co-Investigator)Anthony Finkelstein (Principal Investigator)Asterios Gavriilidis (Co-Investigator)Daniel Bracewell (Co-Investigator)Daniel Brett (Co-Investigator)Gopinathan Sankar (Co-Investigator)John Ward (Co-Investigator)Marc-Olivier Coppens (Co-Investigator)Mark Miodownik (Co-Investigator)Nigel Titchener-Hooker (Principal Investigator)Paola Lettieri (Co-Investigator)Paul McMillan (Co-Investigator)Philip Treleaven (Co-Investigator)Richard Catlow (Co-Investigator)Sean Hanna (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Frontier Engineering: Progression Grant in Nature-Inspired Engineering
An New Frontier in Design: The Simulation of Open Engineered Biological Systems
Nature-inspired electrocatalytic devices for sustainable, intensified production
Bridging the Gaps: Systems-level approaches to antimicrobial resistance
BrisEngBio: From Synthetic to Engineering Biology at Bristol

Original classification

Research Grant

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