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Mark A Locascio

Researcher at Northwestern University

Publications -  5
Citations -  1236

Mark A Locascio is an academic researcher from Northwestern University. The author has contributed to research in topics: Mechanical properties of carbon nanotubes & Ultimate tensile strength. The author has an hindex of 5, co-authored 5 publications receiving 1115 citations.

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Measurements of near-ultimate strength for multiwalled carbon nanotubes and irradiation-induced crosslinking improvements.

TL;DR: Multiwalled carbon nanotubes with a mean fracture strength >100 GPa are reported, which exceeds earlier observations by a factor of approximately three and are in excellent agreement with quantum-mechanical estimates for nanot tubes containing only an occasional vacancy defect, and are approximately 80% of the values expected for defect-free tubes.
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A Multiscale Study of High Performance Double-Walled Nanotube−Polymer Fibers

TL;DR: High performance double-walled nanotube (DWNT)-polymer composite yarns formed by twisting and stretching of ribbons of randomly oriented bundles of DWNTs thinly coated with polymeric organic compounds are demonstrated.
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Tailoring the Load Carrying Capacity of MWCNTs Through Inter-shell Atomic Bridging

TL;DR: In this paper, it was shown conclusively through a rigorous TEM imaging study that this enhancement occurs as a result of multiple-shell load transfer through irradiation-induced crosslinks.
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Linear reactive control for efficient 2D and 3D bipedal walking over rough terrain

TL;DR: Techniques in evolutionary robotics are used to explore the potential of a purely reactive, linear controller to control bipedal locomotion over rough terrain and show that linear reactive control can enable a seven-link 2D biped and a nine-link 3D biping to walk overrough terrain.
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Linear reactive control of three-dimensional bipedal walking in the presence of noise and uncertainty

TL;DR: The present simulation study shows that this novel reactive control framework for 3D bipedal walking performs reliably in the presence of realistic models of joint actuation, sensor noise, and uncertainty in model and contact parameters.