Results 151 to 160 of about 779,309 (276)

High‐Throughput Screening of REBCO Superconducting Thin Films Fabricated Via Combinatorial Inkjet Printing and TLAG Process

Advanced Materials Technologies, EarlyView.
A methodological framework is presented for combinatorial REBCO thin films fabricated by drop‐on‐demand inkjet printing with controlled Rare Earth composition gradients. Automated, synchrotron‐based, and local characterization techniques produce comprehensive property maps that correlate composition and TLAG process parameters with superconducting ...
Emma Ghiara, Zeyu Wu, Mahel Voulhoux, Ona Mola Bertran, Vittorio Bertini, Carla Torres, Aiswarya Kethamkuzhi, Guilherme Theophilo Telles, Victor Fuentes, Elzbieta Pach, Cornelia Pop, Eduardo Solano, Kapil Gupta, Takanobu Kiss, Xavier Obradors, Teresa Puig   +15 more
wiley   +1 more source

Linking Device Performance to Nanoscale Photoactivation of Grain Boundaries in 2D Hybrid Halide Perovskites

Advanced Materials Technologies, EarlyView.
The opto‐electronic response of polycrystalline (PEA)2PbBr4 thin films is investigated by correlating macroscopic photodetector performance with nanoscale mapping techniques. Grain boundary density is systematically tuned through crystallization control and linked to device responsivity.
Camilla Bordoni, Lorenzo Calcaterra, Andrea Ciavatti, Silvia Milita, Valentina Bonino, Lorenzo Margotti, Sara Cepić, Marisa Di Sabatino, Federico Boscherini, Daniela Cavalcoli, Beatrice Fraboni   +10 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Grip and Grasp: Lizard Claw Inspired Robotic Manipulators

Advanced Robotics Research, EarlyView.
Our study identifies the most effective lizard claw shape for use as an end effector in a bioinspired robotic manipulator. By examining key geometric features and combining them into comparative indices, the Crotaphytus collaris claw is found to be the best fit.
Hyeon Lee, Kate Douglas, Asyiah Bray, Andrea Rummel, Parvez Alam   +4 more
wiley   +1 more source

Liver Stiffness Directs Intrahepatic Cholesterol Accumulation Through YAP/TAZ in Metabolic Dysfunction‐Associated Steatotic Liver Disease

Advanced Science, EarlyView.
Liver stiffness promotes intrahepatic cholesterol accumulation by repressing LXRα through YAP/TAZ activation. Stiff matrices impair cholesterol efflux in hepatocytes, while YAP/TAZ deletion restores LXRα activity and prevents cholesterol‐induced fibrosis.
Na Young Lee, Myeung Gi Choi, Ho Jae Ryu, Young Jin Min, Seon Min Kim, Yeonseok Chung, Bo Kyung Koo, Yun Pyo Kang, Won Kim, Ja Hyun Koo   +9 more
wiley   +1 more source

Machine learning-assisted high-throughput screening of transparent organic light-emitting diode anode materials. [PDF]

Chem Sci
Cui L, Li Q, Zhang Y, Zhang J, Wang Z, Chen J, Zheng B.   +6 more
europepmc   +1 more source