Results 141 to 150 of about 350,996 (311)

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

Data Mining via Support Vector Machines

, 2001
Support vector machines (SVMs) have played a key role in broad classes of problems arising in various elds. Much more recently, SVMs have become the tool of choice for problems arising in data classi - cation and mining.
Mangasarian, Olvi
core  

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

Inductive machine learning of optimal modular structures: Estimating solutions using support vector machines

, 2007
Structural optimization is usually handled by iterative methods requiring repeated samples of a physics-based model, but this process can be computationally demanding.
Hanna, S.
core  

Swelling‐Induced Stress‐Assisted Transfer of Nanodiamond Arrays With a PVA Carrier Tape for Conformal Bio‐Integrated Sensing and Labelling

Advanced Functional Materials, EarlyView.
This work introduces a swelling‐induced, stress‐assisted water‐soluble PVA tape strategy to transfer‐print nanodiamond quantum‐sensor arrays onto soft, curved biological interfaces. The room‐temperature, water‐triggered process achieves >98% fidelity and residue‐free integration, enabling conformal quantum sensing on contact lenses, neural probes, and ...
Luyao Zhang, Lingzhi Wang, Xinhao Hu, Tai Nam Yip, Mingze Sun, Jixiang Jing, Lizhi Xu, Yuan Lin, Yong Hou, Zhiqin Chu   +9 more
wiley   +1 more source

3D Printing Innovations in Polymeric Porous and Patterned Architecture

Advanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil, Sri Vaishnavi Thummalapalli, Clarissa Westover, Arunachalam Ramanathan, M. Taylor Sobzcak, Roumika Patil, Qixuan Xiang, Tiantian Li, Sui Yang, Timothy E. Long, Hongyue Sun, Xianqiao Wang, Yang Liu, Kenan Song   +13 more
wiley   +1 more source

Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats

Advanced Functional Materials, EarlyView.
We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang, Ilya Pyatnitskiy, Yanshu Shi, Kai Wing Kevin Tang, Yi Xie, Sihan Yu, Thomas Wynn, Xiangping Liu, Ju‐Chun Hsieh, Jinmo Jeong, Weilong He, Brinkley Artman, Anakaren Romero Lozano, Xi Shi, Arjun Sangani, Lief E Fenno, Samantha Santacruz, Banglin Chen, Huiliang Wang   +18 more
wiley   +1 more source

Memory-efficient large-scale linear support vector machine

, 2014
Stochastic gradient descent has been advanced as a computationally efficient method for large-scale problems. In classification problems, many proposed linear support vector machines as very effective classifiers.
Takeda, Akiko, Niranjan, Mahesan, Alrajeh, Abdullah   +2 more
core  

Unlocking Exceptional Strengthening in Aluminum Alloys via Interstitial Cottrell Atmosphere Formation

Advanced Functional Materials, EarlyView.
Cyclic unloading‐aging‐reloading micro‐tensile tests under various aging durations and temperatures, combined with comprehensive microstructural characterization reveal that the yield point phenomenon in Aluminum‐Carbon (Al‐C) thin films originates from Cottrell atmosphere formation.
Zion Lee, Hojang Kim, Yixuan Hu, Injong Oh, Tae‐Hyeok Kang, Hyeonbeen Noh, Yuhyun Park, Sunkun Choi, Pyuck‐Pa Choi, Kolan Madhav Reddy, Gi‐Dong Sim   +10 more
wiley   +1 more source

Security risk prediction technology for power monitoring system under the integration of OT and IT

International Journal for Simulation and Multidisciplinary Design Optimization
As an essential force for economic advancement and social stability, the security of the power system has always been a concern. Therefore, the security risks of power monitoring systems are a research focus.
Zhu Zhennan, Jin Jingquan
doaj   +1 more source