Results 141 to 150 of about 1,185 (293)

Engineering Strain‐Stiffening Granular Hydrogels for 3D‐Printed Tissue‐Mimicry

Advanced Materials, EarlyView.
A 3D‐printable strain‐stiffening double‐network granular hydrogel (SDGH) enables independent, region‐specific tuning of toe (EToe) and heel (EHeel) moduli through control of microgel packing and network composition. This platform replicates tissue‐like nonlinear mechanics and allows fabrication of high‐fidelity, multilayered aortic valves with ...
Hyeokju Chae, Joohwan Han, Jeong‐Wook Seo, Taehoon Lee, Kihyeon Bae, Yeontaek Lee, Dong Soo Kim, Ikjin Kim, Jin‐Oh Kim, Steve Park   +9 more
wiley   +1 more source

Iterative Approaches to Find Zeros of Maximal Monotone Operators by Hybrid Approximate Proximal Point Methods

Fixed Point Theory and Applications, 2011
The purpose of this paper is to introduce and investigate two kinds of iterative algorithms for the problem of finding zeros of maximal monotone operators. Weak and strong convergence theorems are established in a real Hilbert space. As applications, we
Liou YeongCheng, Naraghirad Eskandar, Ceng LuChuan   +2 more
doaj  

Leaf‐Inspired Eutectic Skin With Extreme Fatigue Resistance and Robust Wet Adhesion for Amphibious Epidermal Electronics

Advanced Materials, EarlyView.
Inspired by Acorus calamus leaves, a heterogeneous eutectic skin integrates an aligned fibrous network within a hydrophobic eutectogel matrix. This hierarchical architecture triggers strain‐induced crystallization to achieve exceptional mechanical toughness and durable wet adhesion.
Jiayu Hou, Jiancheng Dong, Je Hyeong Kim, Chang Zhou, Shiyin Lin, Xingyu Liu, Hao Qiu, Mengting Zheng, Yuduo Zhang, Haijun Zhu, Kangjia Geng, Yidong Peng, Haoran Liu, Yunpeng Huang, Yongsheng Luo, Steve Park, Tianxi Liu   +16 more
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Composite iterative schemes for maximal monotone operators in reflexive Banach spaces

Fixed Point Theory and Applications, 2011
In this article, we introduce composite iterative schemes for finding a zero point of a finite family of maximal monotone operators in a reflexive Banach space. Then, we prove strong convergence theorems by using a shrinking projection method.
Cho Yeol, Suantai Suthep, Cholamjiak Prasit   +2 more
doaj  

Resource theory of quantum scrambling. [PDF]

Proc Natl Acad Sci U S A, 2023
Garcia RJ, Bu K, Jaffe A.
europepmc   +1 more source

Using the expansion of maximal monotone operators for solving variational inclusions

, 2012
Cette thèse est consacrée à la résolution d'un problème fondamental de l'analyse variationnelle qu'est la recherchede zéros d'opérateurs maximaux monotones dans un espace de Hilbert.
Nagesseur, Ludovic
core  

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

A review of data abstraction. [PDF]

Front Artif Intell, 2023
Cima G, Console M, Lenzerini M, Poggi A.
europepmc   +1 more source