Results 121 to 130 of about 9,833,490 (279)

High Throughput Aerosol Jet Printing to Operationalize High Aspect Ratio Patterning

Advanced Materials Technologies, EarlyView.
High‐throughput aerosol jet printing poses distinct limiting mechanisms to the printing process. These include rapidly changing ink chemistries, atomization instabilities, and liquid‐phase spreading. The combination of in‐line heating, process monitoring, and traditional optimization procedures enables rapid printing of high‐aspect‐ratio structures ...
Bella I. Guyll, Md Mahdi Ul Ishtiaque, Md Ramjan Ali, Todd A. Kingston, Ethan B. Secor   +4 more
wiley   +1 more source

Robustness of Interdependent Networks with Weak Dependency Based on Bond Percolation. [PDF]

Entropy (Basel), 2022
Qiang Y, Liu X, Pan L.
europepmc   +1 more source

Implementation with Interdependent Valuations [PDF]

It is well-known that the ability of the Vickrey-Clarke-Groves (VCG) mechanism to implement efficient outcomes for private value choice problems does not extend to interdependent value problems.
Andrew Postlewaite, Richard P. McLean
core  

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

The Polarization of the Coupling Strength of Interdependent Networks Stimulates Cooperation. [PDF]

Entropy (Basel), 2022
Liu J, Peng Y, Zhu P, Yu Y.
europepmc   +1 more source

3D Printing of Self‐Healing Polymers by Material Extrusion: A Process‐Centric Review of Setups, Parameters, and Applications

Advanced Robotics Research, EarlyView.
This review highlights recent advances in material extrusion 3D printing of self‐healing polymers, focusing on the interplay between material chemistry, rheology, hardware customization, and process optimization. Filament‐ and ink‐based extrusion strategies, multimaterial architectures, and postprocessing approaches are discussed for applications in ...
Antonio Pavone, Gianni Stano, Gianluca Percoco   +2 more
wiley   +1 more source

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

Advanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang, Max Shotbolt, Mostafa Abdel‐Mottaleb, Shawnus Chen, Victoria Andre, Jieyuan Tian, Jonathan Shulgach, Max Murphy, Brian Noga, Ping Liang, Darcy Griffin, Douglas Weber, Marta Pardo, Salvador Pane, Sakhrat Khizroev   +14 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source