Andres F. Arrieta
Purdue University West Lafayette, Nanyang Technological University
Papers
15
Total Citations
306
H-Index
8
About
Andres F. Arrieta is a pioneering researcher at the intersection of mechanical metamaterials, multistable structures, and bio-inspired design, whose work is reshaping how engineers think about adaptive and programmable materials. His research explores how geometric nonlinearities and structural architecture can be harnessed to create materials and structures with on-demand, tunable properties — a paradigm shift away from relying solely on chemical composition. Among his most celebrated contributions are dome-patterned metamaterial sheets (100 citations) and programmable mechanical metastructures derived from bistable domes (39 citations), which demonstrate how mesoscale design unlocks extraordinary mechanical behavior. Arrieta has also advanced the field of morphing structures, developing multistable composites, origami-based deployable systems, and bioinspired soft robots — including a manta ray-inspired platform — that can reconfigure, adapt, and compute mechanically without traditional electronics. His 2020 work encoding multiple permanent shapes in 3D-printed structures (46 citations) has opened new avenues for smart manufacturing. His inclusion in a 2025 IOP roadmap on mechano-intelligence underscores his standing as a thought leader in embodied mechanical computing. Across his portfolio, Arrieta's research bridges fundamental mechanics with transformative applications in robotics, aerospace morphing, and programmable matter.
Research Focus
Key Achievements
Top Papers
- 1Dome‐Patterned Metamaterial Sheets100 citations · 2020
- 2Encoding multiple permanent shapes in 3D printed structures46 citations · 2020
- 3Programmable mechanical metastructures from locally bistable domes39 citations · 2020
- 4Dynamics and control of twisting bi-stable structures37 citations · 2017
- 5
- 6Programmable Multistable Soft Grippers13 citations · 2022
- 7Manta Ray inspired multistable soft robot12 citations · 2023
- 8Plant-inspired multi-stimuli and multi-temporal morphing composites10 citations · 2022
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