Results 141 to 150 of about 154,546 (314)

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Accelerated Finite Element Method Solver for RCS Analysis Using CUDA-Based Parallel Computing

IEEE Access
When addressing large-scale electromagnetic problems using the finite element method (FEM), the resulting matrices are typically sparse, necessitating numerous sparse matrix-vector multiplication (SpMV) operations.
Mincheol Jo, Woobin Park, Moonseong Kim, Woochan Lee   +3 more
doaj   +1 more source

Tighter sparse variational Gaussian processes

CoRR
Sparse variational Gaussian process (GP) approximations based on inducing points have become the de facto standard for scaling GPs to large datasets, owing to their theoretical elegance, computational efficiency, and ease of implementation. This paper introduces a provably tighter variational approximation by relaxing the standard assumption that the ...
Thang D. Bui, Matthew Ashman, Richard E. Turner   +2 more
openaire   +3 more sources

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

Ionic Transportation Induced Electric Field Modulation in Porous Ecoflex/PTFE with Confined Liquid for High‐Performance Contact Electrification Power Generation

Advanced Functional Materials, EarlyView.
Porous Ecoflex/PTFE composite with encapsulated liquid generates electricity through ionic migration induced by dynamic pore deformation, creating non‐uniform electric fields that drive charge induction on electrodes. This mechanism enhances charge transfer and ensures stable contact electrification performance, achieving 12 V and 4 nC with consistent ...
Xiangkun Bo, Juyang Wei, Zihua Li, Yuejiao Chen, Hong Fu, Bingang Xu   +5 more
wiley   +1 more source

Spatiotemporal Drug Delivery via a Neonatal Spinal Cord ECM Hydrogel for Biomimetic Microenvironment Remodeling After Spinal Cord Injury

Advanced Functional Materials, EarlyView.
A biomimetic hydrogel derived from neonatal spinal cord ECM (DNSCM) delivers LAMB2 protein and ISP peptide to remodel the inhibitory injury microenvironment. The system sustains drug release, upregulates pro‐regenerative LAMB2, downregulates inhibitory CSPG, and promotes axonal regeneration.
Shiyu Fu, Liangchao Du, Runlin Wen, Kai Zhang, Yu Zhou, Wanrong Ma, Zhiquan Yang, Dingyang Liu, Xing Li   +8 more
wiley   +1 more source

Sparse kernel modelling: a unified approach

, 2007
A unified approach is proposed for sparse kernel data modelling that includes regression and classification as well as probability density function estimation. The orthogonal-least-squares forward selection method based on the leave-one-out test criteria
Hong, X., Harris, C.J., Chen, S.
core  

Microfabricated Anisotropic Myobundles for the Scalable Production of Cardiac Tissue Grafts

Advanced Functional Materials, EarlyView.
Controlling the anisotropy of cardiac tissue remains an outstanding challenge in the field of cardiac tissue engineering. Here, we introduce an approach to generate anisotropic cardiac myobundles using cell‐adhesive, synthetic, electrospun fibers and stem cell‐derived cardiac fibroblasts.
Maggie E. Jewett, Javiera Jilberto, Margaret E. Stanley, David O. Ntim, Siddhi M. Bhirud, Avianna T. Schroeder, Gonzola X. Anyosa Galvez, Jingyi Xia, Samuel J. DePalma, Emmanouil Agrafiotis, Susan S. Xi, Amanda S. Bluem, Courtney M. Lestock, Adam S. Helms, David A. Nordsletten, Brendon M. Baker   +15 more
wiley   +1 more source

Classification of music genres using sparse representations in overcomplete dictionaries

, 2011
This paper presents a simple, but efficient and robust, method for music genre classification that utilizes sparse representations in overcomplete dictionaries.
Rusu, Cristian
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