Results 101 to 110 of about 24,892 (257)

Variance reduction for multiscale tumor growth modeling

, 2016
sponsorship: Agency for innovation by Science and Technology (IWT). Research Foundation - Flanders.
Lejon, Annelies, Mortier, Bert, Samaey, Giovanni   +2 more
openaire   +1 more source

Spatially Controlled Embedded Bioprinting of Prevascularized Spheroids‐Containing Biopatch Enables Functional Skin Regeneration

Advanced Healthcare Materials, EarlyView.
A spatially controlled embedded bioprinting strategy enables precise engineering of prevascularized multicellular spheroids within skin‐derived dECM bioinks. Optimized spheroid size, composition, and spacing promote vascular maturation, paracrine signaling, and tissue integration, resulting in enhanced angiogenesis, blood perfusion, and functional skin
Minjun Ahn, Gyu Tae Park, Dongjun Lee, Sik Yoon, Sae‐Ock Oh, Jae Ho Kim, Byoung Soo Kim   +6 more
wiley   +1 more source

Task-oriented machine learning surrogates for tipping points of agent-based models

Nature Communications
We present a machine learning framework bridging manifold learning, neural networks, Gaussian processes, and Equation-Free multiscale approach, for the construction of different types of effective reduced order models from detailed agent-based simulators
Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos Siettos, Ioannis G. Kevrekidis   +6 more
doaj   +1 more source

Silicone Breast Implants as a Model System for Understanding Polymer Permeation in Soft Materials In Vivo

Advanced Healthcare Materials, EarlyView.
Silicone breast implants are presented as a model system for understanding polymer permeation in vivo. Rather than representing material failure, “gel bleed” emerges from solution–diffusion transport‐mediated. By integrating polymer architecture, physicochemical transport, and biointerfacial processes, this review provides a unified framework that ...
D. Bouyer, H. Mutlu, C. Charmette, E. Randrianaridera, Z. Adaidi, R. Hedna, L. Pieuchot, I. Pluvy, K. Anselme, N. Couturier, J. P. Mericq, A. Ponche, I. Brigaud   +12 more
wiley   +1 more source

Deep Multiscale Soft-Threshold Support Vector Data Description for Enhanced Heavy-Duty Gas Turbine Generator Sets’ Anomaly Detection

Shock and Vibration
This paper introduces an innovative approach, Deep Multiscale Soft-Threshold Support Vector Data Description (DMS-SVDD), designed for the detection of anomalies and prediction of faults in heavy-duty gas turbine generator sets (GENSETs).
Zhang Kun, Li Hongren, Wang Xin, Xie Daxing, Sun Xiaokai   +4 more
doaj   +1 more source

Magnetically Driven Biofabrication for Tissue Engineering: From Nanoparticle Design to Mag‐ATMP Translation

Advanced Healthcare Materials, EarlyView.
Magnetically responsive nanoparticles enable remote control over biomaterials, cells, and engineered tissues. This review summarizes material design, biological safety, fabrication and actuation strategies, computational validation, and translational pathways that support the development of magnetic tissue‐engineering platforms and future magnetically ...
Konstantinos Ioannidis, Dimitrios Lefas, Maya Guilliams, Jackie Van Grootenbril, Isaak Decoene, Dimitrios Sakellariou, Bart Smeets, Stefanos Mourdikoudis, Ioannis Papantoniou   +8 more
wiley   +1 more source

A Hybrid Model Reduction Method for Dual-Continuum Model with Random Inputs

Computation
In this paper, a hybrid model reduction method for solving flows in fractured media is proposed. The approach integrates the Generalized Multiscale Finite Element Method (GMsFEM) with a novel variable-separation (VS) technique.
Lingling Ma
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Multiscale dilated denoising convolution with channel attention mechanism for micro-seismic signal denoising

Journal of Petroleum Exploration and Production Technology
Denoising micro-seismic signals is paramount for ensuring reliable data for localizing mining-related seismic events and analyzing the state of rock masses during mining operations.
Jianxian Cai, Zhijun Duan, Li Wang, Juan Meng, Zhenjing Yao   +4 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source