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@article{Hinkelman2023,

title = {Design methodologies and engineering applications for ecosystem biomimicry: An interdisciplinary review spanning cyber, physical, and cyber-physical systems},

author = {Kathryn Hinkelman and Yizhi Yang and Wangda Zuo},

url = {http://iopscience.iop.org/article/10.1088/1748-3190/acb520},

doi = {10.1088/1748-3190/acb520},

year  = {2023},

date = {2023-01-20},

urldate = {2023-01-20},

journal = {Bioinspiration & Biomimetics},

school = {The Pennsylvania State University},

abstract = {Ecosystem biomimicry is a promising pathway for sustainable development. However, while typical form- and process-level biomimicry is prevalent, system-level ecosystem biomimicry remains a nascent practice in numerous engineering fields. This critical review takes an interdisciplinary approach to synthesize trends across case studies, evaluate design methodologies, and identify future opportunities when applying ecosystem biomimicry to engineering practices, including cyber systems (CS), physical systems (PS), and cyber-physical systems (CPS). After systematically sourcing publications from major databases, the papers were first analyzed at a meta level for their bibliographic context and for statistical correlations among categorical variables. Then, we investigated deeper into the engineering applications and design methodologies. Results indicate that CPS most frequently mimic organisms and ecosystems, while CS and PS frequently mimic populations-communities and molecules-tissues-organ systems, respectively (statistically highly significant). An indirect approach is most often used for mimicry at organizational levels from populations to ecosystems, while a direct approach frequently suits levels from molecules to organisms (highly significant). Dominant themes across engineering applications include symbiotic organism search algorithms for CS and ecological network analysis for CPS, while PS applications are highly diverse. For design methodologies, this work summarizes and details ten well-documented biomimetic process models among literature, which addresses an outdated concern for a lack of systematic methods for ecosystem biomimicry. In addition to the Biomimetics Standard ISO 18458, these methods include the Natural Step and Techno-Ecological Synergy framework, among others. Further, the analyses revealed future opportunities from less utilized design methods (e.g., interdisciplinary teams tackling indirect, ecosystem-level projects) to well-established engineering concepts ready for technological advancement (e.g., implementing membrane computing for physical applications). For future studies, this review provides a comprehensive reference for ecosystem biomimetic design practices and application opportunities across multiple engineering domains.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Gerbaud2022,

title = {Bibliometric survey and network analysis of biomimetics and nature inspiration in engineering science},

author = {Vincent Gerbaud and Hugues Leiser and Johnny Beaugrand and Bernard Cathala and Carole Molina-Jouve and Anne Marie Gue},

url = {http://iopscience.iop.org/article/10.1088/1748-3190/ac4f2e},

doi = {10.1088/1748-3190/ac4f2e},

year  = {2022},

date = {2022-01-26},

urldate = {2022-01-26},

journal = {Bioinspiration & Biomimetics},

abstract = {The field encompassing biomimetics, bioinspiration and nature inspiration in engineering science is growing steadily, pushed by exogenous factors like the search for potentially sustainable engineering solutions that might exist already in nature. With help of information provided by bibliometric database and further processed with dynamic network and semantic analysis tool, we provide insight at two scales on the corpus of nature inspired engineering field and its dynamics. At macro scale, the Web of Science® (WoS) categories, countries and institutions are ranked and ordered by thematic clusters and country networks, highlighting leading countries and institutions and how they focus on specific topics. Such an insight provides an overview at a macro scale that can be valuable to orient scientific strategy at the country level. At meso scale where science is incarnated by collaborative networks of authors and institutions that run across countries, we identify six semantic clusters and subclusters within them, and their dynamics. We also pinpoint leading academic collaborative networks and their activity in relation with the six semantic clusters. Trends and prospective are also discussed. Typically one observe that the field is becoming mature since, starting by imitating nature, it proceeded with mimicking more complex natural structures and functions and now it investigates ways used in nature in response to changes in the environment and implements them in innovative and adaptive artefacts. The sophistication of devices, methods and tools has been increasing over the years as well as their functionalities and adaptability whereas the size of devices has decreased at the same time.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}