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Dive into the research topics where Daniel Courtney Richards is active.

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Featured researches published by Daniel Courtney Richards.


IEEE Transactions on Evolutionary Computation | 2017

Shape Optimization With Surface-Mapped CPPNs

Daniel Courtney Richards; Martyn Amos

Shape optimization techniques are becoming increasingly important in design and engineering. This growing significance reflects the need to exploit advances in digital fabrication technologies, and the desire to create new types of surface designs for various engineering applications. Evolutionary algorithms (EAs) offer several key advantages for shape optimization, but they can also be restricted, especially as design problems scale up in size. A key challenge for evolutionary shape optimization is to overcome these challenges in order to apply EAs to large-scale, “real-world” engineering problems. This paper presents a new evolutionary approach to shape optimization using what we call “surface-mapped compositional pattern producing networks (CPPNs).” Our method outperforms a state-of-the-art gradient-based method on a simple benchmark problem, and scales well as degrees of freedom are added to the design problem. Our results demonstrate that surface-mapped CPPNs offer practical ways of approaching large-scale, real-world engineering problems with EAs, opening up exciting new opportunities for engineering design.


International Journal of Rapid Manufacturing | 2017

Directing self-assembly to grow adaptive physical structures

Adam Blaney; Nick Dunn; Jason Alexander; Daniel Courtney Richards; Allan Rennie; Jamshed Anwar

Additive manufacturing technologies offer exciting opportunities to rethink the process of designing and fabricating physical structures. This paper outlines initial work that seeks to extend existing AM capabilities, creating physically adaptive structures by exploiting processes of self-assembling materials. The paper details an investigation of self-assembling structures that can respond to different conditions by adapting their physical properties over time. The process uses electrolysis of seawater to demonstrate a proof-of-concept of tuneable material structures, via crystal growth. Results demonstrate an aggregation-based multi-material system that is sensitive to changing environmental conditions. Material properties of grown structures have been analysed and illustrate that different materials can be created from an abundant base material (seawater) by manipulating environmental conditions (i.e. electrical current). It is found that turbulence is a useful property within these kinds of systems and that the physical properties of cathode scaffold structures have a significant impact in controlling material properties and resolution.


Electrochimica Acta | 2017

The influence of point defects on the entropy profiles of Lithium Ion Battery cathodes : a lattice-gas Monte Carlo study

Michael P. Mercer; Sophie Finnigan; Denis Kramer; Daniel Courtney Richards; Harry E. Hoster


Artificial Life | 2014

Evolving morphologies with CPPN-NEAT and a dynamic substrate

Daniel Courtney Richards; Martyn Amos


ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 101-110 | 2015

Designing with Gradients: Bio-Inspired Computation for Digital Fabrication

Daniel Courtney Richards; Martyn Amos


genetic and evolutionary computation conference | 2012

An evo-devo approach to architectural design

Daniel Courtney Richards; Nick Dunn; Martyn Amos


Physical Chemistry Chemical Physics | 2018

Quantifying structure dependent responses in Li-ion cells with excess Li spinel cathodes: matching voltage and entropy profiles through mean field models

Steffen Schlueter; Ronny Genieser; Daniel Courtney Richards; Harry E. Hoster; Michael P. Mercer


Archive | 2017

Designing Digital Materials with Volumetric Gradients

Daniel Courtney Richards; Thomas Abram; Allan Rennie


Archive | 2017

‘Smart’ Autonomous vehicles in cities of the future

Richard Morton; Nick Dunn; Paul Coulton; Daniel Courtney Richards


Archive | 2016

Encoding multi-materiality

Daniel Courtney Richards; Martyn Amos

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Martyn Amos

Manchester Metropolitan University

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Denis Kramer

University of Southampton

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