Mechanically tunable metasurface with large gamut of color: Lateral hybrid system (2022)
Journal Article
Fang, R., Ghasemi, A., Zeze, D. A., & Keshavarz Hedayati, M. (2022). Mechanically tunable metasurface with large gamut of color: Lateral hybrid system. Journal of Applied Physics, 132(13), Article 133102. https://doi.org/10.1063/5.0115964

Hybrid metasurfaces are made of metals and dielectrics in which dielectrics (metals) are sandwiched between metals (dielectrics) to control the reflection and transmission of light. The existing designs have low sensitivity, little color coverage, an... Read More about Mechanically tunable metasurface with large gamut of color: Lateral hybrid system.

Biogenic silver nanoparticles-modified forward osmosis membranes with mitigated internal concentration polarization and enhanced antibacterial properties (2022)
Journal Article
Wu, X., Fang, F., Zhang, B., Wu, J. J., & Zhang, K. (2022). Biogenic silver nanoparticles-modified forward osmosis membranes with mitigated internal concentration polarization and enhanced antibacterial properties. npj Clean Water, 5, Article 41. https://doi.org/10.1038/s41545-022-00190-1

Thin-film composite forward osmosis (TFC-FO) membranes show the potential to be applied in water treatment applications. However, the TFC-FO membrane performance was limited by internal concentration polarization (ICP) and membrane fouling. In this s... Read More about Biogenic silver nanoparticles-modified forward osmosis membranes with mitigated internal concentration polarization and enhanced antibacterial properties.

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.

Towards Intelligently Designed Evolvable Processors (2022)
Journal Article
Jones, B. A., Chouard, J. L., Branco, B. C., Vissol-Gaudin, E. G., Pearson, C., Petty, M. C., …Groves, C. (2022). Towards Intelligently Designed Evolvable Processors. Evolutionary Computation, 30(4), 479-501. https://doi.org/10.1162/evco_a_00309

Evolution-in-Materio is a computational paradigm in which an algorithm reconfigures a material’s properties to achieve a specific computational function. This paper addresses the question of how successful and well performing Evolution-in-Materio pro... Read More about Towards Intelligently Designed Evolvable Processors.

Air-Gapped Current Transformer simulation and accuracy assessment (2022)
Conference Proceeding
Ceron-Oliver, L., Wang, Q., & Zeze, D. (2022). Air-Gapped Current Transformer simulation and accuracy assessment. . https://doi.org/10.1109/melecon53508.2022.9843105

The implementation of smart grids makes it necessary to have reliable and efficient measuring devices. Current sensors used for metering purposes in the grid must be accurate enough to overcome new challenges that power networks face such as injectio... Read More about Air-Gapped Current Transformer simulation and accuracy assessment.

Enhanced Methods for Evolution in-Materio Processors (2022)
Conference Proceeding
Jones, B. A., Al Moubayed, N., Zeze, D. A., & Groves, C. (2022). Enhanced Methods for Evolution in-Materio Processors. . https://doi.org/10.1109/icrc53822.2021.00026

Evolution-in-Materio (EiM) is an unconventional computing paradigm, which uses an Evolutionary Algorithm (EA) to configure a material's parameters so that it can perform a computational task. While EiM processors show promise, slow manufacturing and... Read More about Enhanced Methods for Evolution in-Materio Processors.

Mechanical-Stress-Related Epigenetic Regulation of ZIC1 Transcription Factor in the Etiology of Postmenopausal Osteoporosis (2022)
Journal Article
Datta, H. K., Kringen, M. K., Tuck, S. P., Salpingidou, G., Olstad, O. K., Gautvik, K. M., …Reppe, S. (2022). Mechanical-Stress-Related Epigenetic Regulation of ZIC1 Transcription Factor in the Etiology of Postmenopausal Osteoporosis. International Journal of Molecular Sciences, 23(6), Article 2957. https://doi.org/10.3390/ijms23062957

Mechanical loading exerts a profound influence on bone density and architecture, but the exact mechanism is unknown. Our study shows that expression of the neurological transcriptional factor zinc finger of the cerebellum 1 (ZIC1) is markedly increas... Read More about Mechanical-Stress-Related Epigenetic Regulation of ZIC1 Transcription Factor in the Etiology of Postmenopausal Osteoporosis.

Permeate Flux in Ultrafiltration Processes—Understandings and Misunderstandings (2022)
Journal Article
Field, R. W., & Wu, J. J. (2022). Permeate Flux in Ultrafiltration Processes—Understandings and Misunderstandings. Membranes, 12(2), Article 187. https://doi.org/10.3390/membranes12020187

Concentration polarization refers to the rapid emergence of concentration gradients at a membrane/solution interface resulting from selective transfer through the membrane. It is distinguishable from fouling in at least two ways: (1) the state of the... Read More about Permeate Flux in Ultrafiltration Processes—Understandings and Misunderstandings.