Results 171 to 180 of about 493,672 (330)

Encoding Magnetic Anisotropies in Digital Light Processing 3D Printing

Advanced Functional Materials, EarlyView.
A hybrid magnetic device—combining a coaxial coil within a nested Halbach array—is presented, integrated into a DLP 3D printer to enable spatially resolved magnetic field control. This system enables complex, multimodal responses by programming liquid crystal elastomer resins for magnetic and thermal actuation, and by inducing electrically conductive ...
Eléonore Aïdonidis, Andrea Cosola, Pierre Bourdon, Hichem Dammak, Marco Sangermano, Frédéric Demoly, Marco Faustini, Amélie Pérot, Didier Lairez, Rakine Mouhoubi, Sébastien Blanquer, Giancarlo Rizza   +11 more
wiley   +1 more source

On nonlinear dimensionality reduction for face recognition

, 2012
Weilin Huang, Hujun Yin
openalex   +2 more sources

Nonlinear dimensionality reduction methods for synthetic biology biobricks' visualization. [PDF]

BMC Bioinformatics, 2017
Yang J, Wang H, Ding H, An N, Alterovitz G.   +4 more
europepmc   +1 more source

Photothermal Macroporous Lignin Cryogels for Off‐Grid, Continuous Atmospheric Water Collection via Interlayer Heat Recovery

Advanced Functional Materials, EarlyView.
Photothermal, macroporous lignin‐based cryogels are engineered to convert sunlight into low‐grade heat. Integrated as stacked beds in a drum‐type device, a thin copper interlayer transfers waste heat between beds, enabling interlayer heat recovery and continuous solar cycling.
Jie Yan, Jiqing Lu, Tian Bai, Lin Li, Zhaoxuan Niu, Yiying Yue, Wanli Cheng, Guangping Han, Orlando J. Rojas   +8 more
wiley   +1 more source

Differential reductions of the Kadomtsev–Petviashvili equation and associated higher dimensional nonlinear PDEs [PDF]

, 2009
A. I. Zenchuk
openalex   +1 more source

Graph Embedding and Nonlinear Dimensionality Reduction

, 2011
Traditionally, spectral methods such as principal component analysis (PCA) have been applied to many graph embedding and dimensionality reduction tasks. These methods aim to find low-dimensional representations of data that preserve its inherent structure.
openaire   +2 more sources

A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics [PDF]

Pattern Recognition, 2017
Kelum Gajamannage, R. Paffenroth, E. Bollt   +2 more
semanticscholar   +1 more source

High Entropy Wide‐Bandgap Borates with Broadband Luminescence and Large Nonlinear Optical properties

Advanced Functional Materials, EarlyView.
High‐entropy rare‐earth borates exhibit excellent nonlinear optical and broadband luminescence properties arising from multi‐component doping, chemical disorder, increased configurational entropy, and increased lattice and electronic anharmonicity. This formulation enabled us to obtain a large, environmentally stable single crystal with 3X higher laser‐
Saugata Sarker, Yu Wang, Yongwen Sun, Caeli Benyacko, Saeed S.I. Almishal, Tao Zhou, Zhiyu Zhang, Jadupati Nag, Himirkanti Sarkar, Jeffrey Shallenberger, Hemant Yennawar, Yang Yang, Jon‐Paul Maria, Zhiqiang Mao, Venkatraman Gopalan   +14 more
wiley   +1 more source

EFFECT OF SOIL NONLINEARITY ON THE REDUCTION OF INPUT MOTIONS TO STRUCTURES WITH EMBEDMENT : Study based on 2-dimensional FEM nonlinear analysis

, 2003
Kouji Yamamoto
openalex   +2 more sources

Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications

Advanced Functional Materials, EarlyView.
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa, Masaki Tsuji, Yoshihiro Furue, Yifan Geng, Satya P. Pati, Satoshi Hamasuna, Takeaki Yajima   +6 more
wiley   +1 more source