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1

NATO Advanced Study Institute on Disorder and Mixing (1987 Cargèse, France). Disorder and mixing: Convection, diffusion, and reaction in random materials and processes. Kluwer Academic Publishers, 1988.

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2

Díaz, Jesús Ildefonso, David Gómez-Castro, and Tatiana A. Shaposhnikova. Nonlinear Reaction-Diffusion Processes for Nanocomposites. De Gruyter, 2021. http://dx.doi.org/10.1515/9783110648997.

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3

Stochastic Modelling of Reaction-Diffusion Processes. Cambridge University Press, 2020.

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4

Erban, Radek, and S. Jonathan Chapman. Stochastic Modelling of Reaction-Diffusion Processes. Cambridge University Press, 2020.

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5

Erban, Radek, and S. Jonathan Chapman. Stochastic Modelling of Reaction-Diffusion Processes. University of Cambridge ESOL Examinations, 2019.

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6

Erban, Radek, and S. Jonathan Chapman. Stochastic Modelling of Reaction-Diffusion Processes. University of Cambridge ESOL Examinations, 2019.

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7

Fasano, A. Problems in Nonlinear Diffusion: Lectures Given at the 2nd 1985 Session of the Centro Internazionale Matematico Estivo (C.I.M.E.) Held at Montecatini (Lecture Notes in Computer Science). Springer, 1987.

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8

Díaz, Jesús Ildefonso, David Gómez-Castro, and Tatiana A. Shaposhnikova. Nonlinear Reaction-Diffusion Processes for Nanocomposites: Anomalous Improved Homogenization. De Gruyter, Inc., 2021.

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9

Díaz, Jesús Ildefonso, David Gómez-Castro, and Tatiana A. Shaposhnikova. Nonlinear Reaction-Diffusion Processes for Nanocomposites: Anomalous Improved Homogenization. de Gruyter GmbH, Walter, 2021.

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10

Díaz, Jesús Ildefonso, David Gómez-Castro, and Tatiana A. Shaposhnikova. Nonlinear Reaction-Diffusion Processes for Nanocomposites: Anomalous Improved Homogenization. de Gruyter GmbH, Walter, 2021.

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11

Disorder and Mixing: Convection, Diffusion and Reaction in Random Materials and Processes. Springer, 2012.

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12

Pomeau, Yves, J. P. Nadal, and E. Guyon. Disorder and Mixing: Convection, Diffusion and Reaction in Random Materials and Processes. Springer, 2012.

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13

(Editor), E. Guyon, J. P. Nadal (Editor), and Yves Pomeau (Editor), eds. Disorder and Mixing: Convection, Diffusion and Reaction in Random Materials and Processes (NATO Science Series E: (closed)). Springer, 1988.

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14

(Editor), A. Fasano, and Mario Primicerio (Editor), eds. Problems in Nonlinear Diffusion (Lecture notes in mathematics). Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1986.

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15

Henisch, H. K. Periodic Precipitation: A Microcomputer Analysis of Transport and Reaction Processes in Diffusion Media, with Software Development. Elsevier Science & Technology Books, 2014.

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16

Periodic precipitation: A microcomputer analysis of transport and reaction processes in diffusion media, with software development. Pergamon, 1991.

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17

Analytical Methods for Kolmogorov Equations. Taylor & Francis Group, 2016.

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18

Lorenzi, Luca. Analytical Methods for Kolmogorov Equations. Taylor & Francis Group, 2016.

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19

Lorenzi, Luca. Analytical Methods for Kolmogorov Equations. Taylor & Francis Group, 2016.

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20

Lorenzi, Luca. Analytical Methods for Kolmogorov Equations. Taylor & Francis Group, 2016.

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21

Advection and Diffusion in Random Media: Implications for Sea Surface Temperature Anomalies. Springer, 2010.

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22

Prescott, Tony J., and Leah Krubitzer. Evo-devo. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0008.

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This chapter explores how principles underlying natural evo-devo (evolution and development) continue to inspire the design of artificial systems from models of cell growth through to simulated three-dimensional evolved creatures. Research on biological evolvability shows that phenotypic outcomes depend on multiple interactions across different organizational levels—the adult organism is the outcome of a series of genetic cascades modulated in time and space by the wider embryological, bodily, and environmental context. This chapter reviews evo-devo principles discovered in biology and explore
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