Results 171 to 180 of about 66,383 (257)

Leveraging Mechanical Resonances for the Selection of Promising Materials in Complex Phase Spaces

open access: yesAdvanced Materials Technologies, EarlyView.
A central challenge in materials science is the design of new functional materials with enhanced performance for targeted applications. This paper demonstrates that “listening” to materials through measuring their mechanical resonances is a rich, and largely untapped, platform for the rapid identification of promising novel compounds and a powerful ...
Christopher A. Mizzi   +4 more
wiley   +1 more source

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli   +13 more
wiley   +1 more source

Programmable Pneumatic Actuator System for a Bioinspired Artificial Colon

open access: yesAdvanced Materials Technologies, EarlyView.
A modular soft robotic colon simulator driven by programmable pneumatic actuation is developed to mimic physiological and pathological‐like motility patterns of the large intestine. Finite element–guided design and distributed control enable anatomically realistic deformation for peristalsis, segmentation, and mass movements, supporting capsule ...
Andrew Bickerdike   +6 more
wiley   +1 more source

Warm-started reinforcement learning for iterative 3D/2D liver registration. [PDF]

open access: yesInt J Comput Assist Radiol Surg
Zhang H   +7 more
europepmc   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

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