Results 141 to 150 of about 13,782,934 (217)

Structure-Preserving Joint Non-negative Tensor Factorization to Identify Reaction Pathways Using Bayesian Networks

Extracting meaningful information from spectroscopic data is key to species identification as a first step to monitoring chemical reactions in unknown complex mixtures. Spectroscopic data obtained over multiple process modes (temperature, residence time)
Kaushik Sivaramakrishnan (5769449), Vinay Prasad (510176), Zukui Li (2083144), Arno de Klerk (7499480), Anjana Puliyanda (11747208)   +4 more
core   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization [PDF]

The clustering method based on the anchor graph has gained significant attention due to its exceptional clustering performance and ability to process large-scale data.
Deng, Cheng, Gao, Quanxue, Li, Jing, Wang, Rui   +3 more
core  

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

Advanced 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, Osman El‐Atwani, Tannor T. J. Munroe, Saryu Fensin, Boris Maiorov   +4 more
wiley   +1 more source

Microscale 3D‐Printed Digital Strain Switches for Embedded Mechanical Computation

Advanced Materials Technologies, EarlyView.
Microscale 3D‐printed strain switches on flexible films convert deformation into native digital signals at geometry defined thresholds. A closed form model predicts switching from 3000 to 15 000 microstrain and is validated across 110 devices. Reliable ohmic closure and strain activated AND, OR, and XOR logic point toward low‐power mechanical ...
Regan Kubicek, Daniel Quinn, Gabriel Smith, Sarah Bergbreiter   +3 more
wiley   +1 more source

High‐Density Magnetomyography With Optical Magnetometers Reveals Spatiotemporal Patterns of Evoked Muscle Activity

Advanced Materials Technologies, EarlyView.
Optically pumped magnetometers are employed to contactlessly map the spatiotemporal dynamics of the magnetic field linked to electrical activity of a skeletal muscle in vivo. It is demonstrated that localization of the clinically relevant innervation zone is feasible using this non‐invasive magnetic measurement modality. ABSTRACT Magnetomyography (MMG)
Simon Nordenström, Victor Lebedev, Stefan Hartwig, Marlen Kruse, Santiago Rodriguez, Lukas Baier, Nima Noury, Thomas Klotz, Ahmet Doğukan Keleş, Justus Marquetand, Markus Siegel, Oliver Röhrle, Thomas Middelmann   +12 more
wiley   +1 more source

Parameter Investigation for Stamp Manufacturing of Complex 3D Geometries Using Nanoimprint Lithography

Advanced Materials Technologies, EarlyView.
Nanoimprint lithography can replicate complex 3D microstructures with undercuts using single‐layer polymer stamps of different elasticities. By combining experiments and simulations, T‐shaped geometries and suitable undercut radii were identified that minimize stress and defects during demolding.
Christos Julianos Karapatzakis, Selina Burkert, Cordelia Friederike Wittemann, Andreas Heinrich   +3 more
wiley   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source