Results 111 to 120 of about 30,518 (252)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Dual‐Mode Magnetic Elastomer for On‐Demand Motion and Degradation

Advanced Functional Materials, EarlyView.
A dual‐mode magnetic elastomer is introduced, enabling DC field‐driven programmable actuation and AC field‐driven magnetothermal degradation. GHz‐range magnetic fields generate ultrafast heating of magnetic nanoparticles that activates cleavage of the silicone elastomer matrix.
Jieun Han, Hyun An, Min‐Ha Oh, Yu‐Lim Lee, Woojin Jeon, Kyung‐Sub Kim, Jae‐Hwan Lee, Seungmin Kang, Yoon‐Nam Kim, Ji‐Won Kang, Daewhan Kim, Min Sang Kwon, Sang‐Koog Kim, Seung‐Kyun Kang   +13 more
wiley   +1 more source

Memory-Based Learning and Fusion Attention for Few-Shot Food Image Generation Method

Applied Sciences
Generating food images aims to convert textual food ingredients into corresponding images for the visualization of color and shape adjustments, dietary guidance, and the creation of new dishes.
Jinlin Ma, Yuetong Wan, Ziping Ma
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

High‐Index, Low‐Loss Optical Material Platforms for Ultra‐Broadband Ultraviolet‐to‐Visible Achromatic Metalenses

Advanced Functional Materials, EarlyView.
An integrated material platform combining engineered SiNx thin films and printable ZrO2 nanoparticle‐embedded resin enables broadband achromatic metalenses from the ultraviolet to visible range. The demonstrated meta‐optics achieve near‐diffraction‐limited focusing with minimal chromatic aberration.
Hyunjung Kang, Dongmin Jeon, Eunji Lee, Junsuk Rho   +3 more
wiley   +1 more source

Regularity of Acupoint Selection for Simple Obesity Treated by Acupoint Catgut Embedding Based on Complex Network Technology

针刺研究, 2018
Objective To analyze the core acupoints and acupoint combinations of catgut embedding for simple obesity based on the complex network technology.Methods Articles about acupoint catgut embedding for simple obesity were collected from databases of PubMed ...
CHEN Xia, HUANG Wei, HU Feng, JIN Yi-ting, HONG Zhe-hao, ZHOU Zhong-yu   +5 more
doaj  

Binder Engineering Suppresses Jahn–Teller‐Driven Mn Dissolution and Enables High‐Loading MnO2 Cathodes for Aqueous Zn‐Ion Batteries

Advanced Functional Materials, EarlyView.
A Zn2+‐coordinated poly(vinylidene fluoride) binder is shown to suppress Jahn–Teller‐driven Mn dissolution while improving dispersion, wettability, and structural integrity in thick MnO2 cathodes. This simple binder‐engineering strategy enables high‐loading aqueous Zn‐ion batteries with enhanced areal capacity, cycling stability, and practical promise ...
Insung Jang, Geun Yoo, Geon−Hyoung An
wiley   +1 more source

Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes

, 2023
Ma J, Li B, Li Q, Fan C, Mostafavi A.
europepmc   +1 more source

Dual‐Inductive and Programmable Switching: A New Paradigm in Ionic Interface‐Controlled Perovskite Memory

Advanced Functional Materials, EarlyView.
A fully programmable, dual‐inductive switchable halide perovskite memristor is demonstrated through precise BDAI2‐mediated interface engineering. This ion‐modulating layer suppresses stochastic filamentary growth, enabling stable, non‐filamentary switching via dynamic barrier modulation.
So‐Yeon Kim, Juan Bisquert
wiley   +1 more source

Dipole‐Engineered Conductive Additives for Ultrastable Interphase Evolution in High‐Areal‐Capacity Silicon Anodes

Advanced Functional Materials, EarlyView.
In the work reported herein, dipole‐engineered sulfonated carbon nanofibers enable conductive additives to actively regulate interphase formation in silicon anodes. Polar sulfonyl groups guide electrolyte decomposition to form a compact LiF‐rich interphase while promoting robust integration with silicon.
Song Kyu Kang, Hyeonju Kim, Jeongbin Cho, Minseon Park, Taehun Kim, Seonghun Sin, Won Bae Kim   +6 more
wiley   +1 more source