Results 261 to 270 of about 335,247 (386)

Shape Memory Graphene with Ultrahigh Specific Energy Dissipation

open access: yesAdvanced Science, EarlyView.
Molecular dynamics simulations are used to show that van der Waals interaction is critical for the mechanical properties of nano‐architected triangular graphene. Interplay between the flexibility and high Young's modulus of graphene, the designed architecture, and the van der Waal interaction between graphene ligaments results in a shape memory effect ...
Duc Tam Ho, Udo Schwingenschlögl
wiley   +1 more source

Rational assembly of 3D network materials and electronics through tensile buckling. [PDF]

open access: yesSci Adv
Hu X   +10 more
europepmc   +1 more source

Edible Pneumatic Battery for Sustained and Repeated Robot Actuation

open access: yesAdvanced Science, EarlyView.
This work presents an edible energy source and valve system to power soft, pneumatically driven edible robots. A chemical reaction between sodium bicarbonate and citric acid generates carbon dioxide gas, and a pressure‐triggered edible valve enables self‐repetitive motion of the edible actuator.
Bokeon Kwak   +5 more
wiley   +1 more source

Highly Oriented Epitaxial Hexagonal Boron Nitride Multilayers on High‐Temperature‐Resistant Single‐Crystal Aluminum Nitride (0001)

open access: yesAdvanced Science, EarlyView.
High‐temperature‐resistant single crystals of aluminum nitride works best for multilayer hexagonal boron nitride (hBN) epitaxy and annealing on large‐area dielectric wafers, promising for large‐scale integration and device applications of hBN. Abstract The epitaxy of high‐quality hexagonal boron nitride (hBN) multilayers on dielectric wafers is ...
Xu Yang   +10 more
wiley   +1 more source

EXPERIMENTAL STUDIES ON BUCKLING STRENGTH OF ANGLES

open access: bronze, 1964
Yoshitsura Yokoo   +2 more
openalex   +2 more sources

Re‐Purposing a Modular Origami Manipulator Into an Adaptive Physical Computer for Machine Learning and Robotic Perception

open access: yesAdvanced Science, EarlyView.
Reservoir computing in the physical domain promises an alternative, more energy‐efficient approach to machine learning. However, the correlation between mechanical design and computing power remains elusive. This study sheds light on this gap by repurposing a meta‐stable modular origami manipulator into an adaptive computing kernel that can perform ...
Jun Wang, Suyi Li
wiley   +1 more source

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