<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>4(1)</volume><submitter>Hayashi S</submitter><pubmed_abstract>Micro- and nano-electromechanical systems (M/NEMS) are in high demand for cutting-edge future technological solutions. Their strongly nonlinear nature is regarded as beneficial for optimising performance metrics for a wide range of engineering applications. As model-free experimentation remains limited to forward time observations, important dynamic features can be left uncharted, resulting in an incomplete dynamical landscape. Here we address this issue by employing experimental continuation - a model-free technique for constructing bifurcation diagrams by tracking steady-states and/or periodic responses directly in a physical experiment. This approach is unexplored for investigating micro-scale systems with fast timescales. Our state-of-the-art experiment investigates an active MEMS cant</pubmed_abstract><journal>Communications engineering</journal><pagination>211</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12695876</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Experimentally characterising the dynamical landscape of an active MEMS cantilever.</pubmed_title><pmcid>PMC12695876</pmcid><pubmed_authors>Gutschmidt S</pubmed_authors><pubmed_authors>Murray R</pubmed_authors><pubmed_authors>Krauskopf B</pubmed_authors><pubmed_authors>Hayashi S</pubmed_authors><pubmed_authors>Cameron C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Experimentally characterising the dynamical landscape of an active MEMS cantilever.</name><description>Micro- and nano-electromechanical systems (M/NEMS) are in high demand for cutting-edge future technological solutions. Their strongly nonlinear nature is regarded as beneficial for optimising performance metrics for a wide range of engineering applications. As model-free experimentation remains limited to forward time observations, important dynamic features can be left uncharted, resulting in an incomplete dynamical landscape. Here we address this issue by employing experimental continuation - a model-free technique for constructing bifurcation diagrams by tracking steady-states and/or periodic responses directly in a physical experiment. This approach is unexplored for investigating micro-scale systems with fast timescales. Our state-of-the-art experiment investigates an active MEMS cant</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T00:27:43.703Z</modification><creation>2026-05-24T03:11:18.566Z</creation></dates><accession>S-EPMC12695876</accession><cross_references><pubmed>41372551</pubmed><doi>10.1038/s44172-025-00537-9</doi></cross_references></HashMap>