In-Materio Extreme Learning Machines (2022)
Book Chapter
Jones, B. A., Al Moubayed, N., Zeze, D. A., & Groves, C. (2022). In-Materio Extreme Learning Machines. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature – PPSN XVII (505-519). Springer Verlag. https://doi.org/10.1007/978-3-031-14714-2_35

Nanomaterial networks have been presented as a building block for unconventional in-Materio processors. Evolution in-Materio (EiM) has previously presented a way to congure and exploit physical materials for computation, but their ability to scale as... Read More about In-Materio Extreme Learning Machines.

Unconventional Computation and Natural Computation (2016)
Book Chapter
Vissol-Gaudin, E., Kotsialos, A., Massey, M., Zeze, D., Pearson, C., Groves, C., & Petty, M. (2016). Unconventional Computation and Natural Computation. In M. Amos, & A. Condon (Eds.), . https://doi.org/10.1007/978-3-319-41312-9

Modeling OPV Performance - Morphology, Transport and Recombination (2014)
Book Chapter
Groves, C. (2014). Modeling OPV Performance - Morphology, Transport and Recombination. In B. Rand, & H. Richter (Eds.), Organic Solar Cells - Fundamentals, Devices and Upsacling. Pan Stanford. https://doi.org/10.4032/9789814463669

Chapter 467 Monte Carlo Simulations of Organic Photovoltaics (2014)
Book Chapter
Groves, C., & Greenham, N. (2014). Chapter 467 Monte Carlo Simulations of Organic Photovoltaics. In D. Beljonne, & J. Cornil (Eds.), Computational Photovoltaics. Springer Berlin Heidelberg. https://doi.org/10.1007/128_2013_467