Results 181 to 190 of about 595,100 (267)

Exploiting Geometric Frustration in Coupled von Mises Trusses to Program Multifunctional Mechanical Metamaterials

Advanced Engineering Materials, EarlyView.
Mechanical metamaterials capable of compressive stiffness tunability, shape morphing, and post‐fabrication modularity. Herein, the 3D unit cell design is based on an assembly of bistable von Mises trusses that exhibit a switch in compressive stiffness and resting height from one stable state to the other.
Yannis Liétard, Daniel Therriault, David Melancon   +2 more
wiley   +1 more source

Nonlinearity and Domain Switching in a 3D‐Printed Architected Ferroelectric

Advanced Engineering Materials, EarlyView.
By combining functional properties measurement with in situ 2D X‐ray microdiffraction experiments, it is shown that nonlinear polarization and strain responses of a 3D‐printed architected ferroelectric are driven by localized progression of domain switching, which depends on nonuniform electric‐field distribution as well as evolving stress fields.
Abhijit Pramanick, Chaimae Babori, Frédéric Albertini, Frederik Holm Gjørup, Aurore Brézard Oudot, Ashutosh Kumar, Mads Ry Vogel Jørgensen, Laurent Daniel   +7 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Shape-based reconstruction of dynamic fluorescent yield with a level set method [PDF]

A Joshi, AD Zacharopoulos, D Wang, D Álvarez, F Liu, G Zhang, G Zhang, H Jiang, H Sinohara, J Shi, Jianwen Luo, Jing Bai, Jiulou Zhang, L Wu, M Schweiger, M Schweiger, M Scweiger, SR Arridge, SR Arridge, V Ntziachristos, V Ntziachristos, X Liu, X Liu, X Liu, X Song, X Zhang, X Zhang, Xuanxuan Zhang   +27 more
core   +1 more source

High Repetition Rate Laser‐Induced Printing of Bioink with Picosecond Pulse Durations: Optimization of the Printing Process

Advanced Engineering Materials, EarlyView.
This study explores the use of laser‐induced forward transfer in the picosecond regime to create in vitro biomodels. Focusing on hydrodynamics and rheology, it investigates jet dynamics through time‐resolved imaging, optimizing laser fluence, biological ink viscosity, and printing distance to precisely control the volume and location of bioink ...
Lucas Duvert, Adrien Casanova, Ahmed Al‐Kattan, Stefano Testa, Frédérique Magdinier, Anne‐Patricia Alloncle   +5 more
wiley   +1 more source

Biomedical knowledge engineering approaches driven by processing the primary experimental literature.

, 2008
Tommy Ingulfsen
openalex   +1 more source

BME FIU Strategic Plan 2012-2017 [PDF]

, 2012
Department of Biomedical Engineering, Florida International University
core  

Automated identification of reference genes based on RNA-seq data [PDF]

A Maroufi, A Mortazavi, A Nonis, A Vezzaro, Adoración Zafra, AFD Souza, Alché J Dios de, AM Brunner, B Langmead, Bornali Gohain, C Gu, C Rubie, CF Barsalobres-Cavallari, CL Andersen, CM Ronning, CM Rudin, D Cassol, D Lanoix, DL Ray, E Eisenberg, F Cruz, F Ohl, G Galla, G Liu, GP Wagner, H Yanik, J Falgueras, J Ma, J Vandesompele, J Wu, JL Martin, JS Coker, JS Seo, Juan de Dios Alché, JV Die, K Hoedemaekers, KE Reid, L Chen, L Thorrez, M Bianchini, M Jain, M Rocha-Martins, M. Gonzalo Claros, Macarena Arroyo, María José Jiménez-Quesada, MS Lawrence, MW Pfaffl, N Goto, N Nicot, O Thellin, P Lamesch, P Seoane, PD Lee, Pedro Seoane, R Carmona, Rafael Larrosa, Rosario Carmona, S Artico, S Dupasquier, S Lemma, S Ren, S Waxman, T Czechowski, T Resetic, T Suzuki, T Vashisth, U Lutz, V Popovici, WC Cheng, WM Freeman, X Peng, Y Kodama, Y Wang, Z Tong   +73 more
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

BME Annual Report 2005-2006 [PDF]

, 2006
Department of Biomedical Engineering, Florida International University
core