Results 61 to 70 of about 336,796 (327)

4D‐Printed Magneto‐Plasmonic Microrobots for Programmable Spatiotemporal De‐Icing

Advanced Functional Materials, EarlyView.
A 4D‐printing strategy is introduced to achieve programmable de‐icing devices. By aligning gold–magnetite nanofillers within a photosensitive resin, the printed structures exhibit dual magnetic and plasmonic functionalities, enabling precise spatio‐temporal ice removal through thermoplasmonic effects.
Amélie Pérot, Andrea Cosola, Eléonore Aïdonidis, Jérôme Fresnais, Clément Sanchez, Philippe Belleville, Giancarlo Rizza, Marco Faustini   +7 more
wiley   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

Using Functional Programming to recognize Named Structure in an Optimization Problem: Application to Pooling [PDF]

, 2016
Branch-and-cut optimization solvers typically apply generic algorithms, e.g., cutting planes or primal heuristics, to expedite performance for many mathematical optimization problems.
Ceccon, F, Kouyialis, G, Misener, R
core   +1 more source

C16 Phase High Entropy Borides With High Magnetic Anisotropy

Advanced Materials, EarlyView.
Rare‐earth‐free C16‐phase high entropy boride thin films exhibit enhanced magnetic anisotropy with coercivities surpassing their binary and ternary counterparts. Combinatorial synthesis of (Fe‐Co‐Ni‐Mn)2B films combined with density functional theory enables mapping of the magnetic properties across the composition space, revealing high entropy ...
Willie B. Beeson, Dhritiman Bhattacharya, Dinesh Bista, Bradley J. Fugetta, Gen Yin, Kai Liu   +5 more
wiley   +1 more source

A Group Rotate-Vector Algorithm for Mixed-Variable Optimization Problems

IEEE Access
Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization using rotation and contraction of vectors. The current optimization
Zhongming Li, Lutao Yan, Haiyuan Li, Lianxin Wang   +3 more
doaj   +1 more source

The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization

, 2017
We propose a novel high-dimensional linear regression estimator: the Discrete Dantzig Selector, which minimizes the number of nonzero regression coefficients subject to a budget on the maximal absolute correlation between the features and residuals ...
Mazumder, Rahul, Radchenko, Peter
core   +1 more source

Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

Advanced Materials Technologies, EarlyView.
This study presents a wearable textile‐based triboelectric nanogenerator (T‐TENG) using sprayed graphene enhanced with a PVA adhesion layer. The graphene‐based electrode demonstrates high electrical conductivity and robustness to multiple bends. The fabricated T‐TENG provides stable and efficient output, with strong responsiveness to biomotion.
Hongyang Dang, Benji Fenech‐Salerno, Antonio Alessio Leonardi, Federico La Barbera, Felice Torrisi   +4 more
wiley   +1 more source

Decomposition and Mean-Field Approach to Mixed Integer Optimal Compensation Problems [PDF]

, 2016
Mixed integer optimal compensation deals with optimization problems with integer- and real-valued control variables to compensate disturbances in dynamic systems.
Bauso, D., Başar, T., Zhu, Q.
core   +3 more sources

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source