Results 111 to 120 of about 301,663 (267)

Enhancing cell characterization with microfluidics and AI: a comprehensive review of mechanical, electrical, and hybrid techniques

Biotechnology Reports
This paper examines recent advancements in cell characterization using microfluidic devices, emphasizing mechanical, electrical, and hybrid methodologies.
Marwan Taha, Anna-Maria Pappa, Hani Saleh, Anas Alazzam   +3 more
doaj   +1 more source

A Digital-Analog Hybrid System-on-Chip for Capacitive Sensor Measurement and Control. [PDF]

Sensors (Basel), 2021
Gao Z, Zhou B, Li X, Yang L, Wei Q, Zhang R.   +5 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Enhanced microfluidic multi-target separation by positive and negative magnetophoresis

Scientific Reports
We introduce magnetophoresis-based microfluidics for sorting biological targets using positive Magnetophoresis (pM) for magnetically labeled particles and negative Magnetophoresis (nM) for label-free particles.
Saud Khashan, Abdulkarem A. Odhah, Marwan Taha, Anas Alazzam, Mohamed Al-Fandi   +4 more
doaj   +1 more source

Low Complexity System on Chip Design to Acquire Signals from MOS Gas Sensor Applications. [PDF]

Sensors (Basel), 2021
Talens JB, Pelegri-Sebastia J, Canet MJ.
europepmc   +1 more source

Slip Localization Intensification Mediated by Grain Boundary Sliding in a Polycrystalline Nickel‐Based Superalloy

Advanced Engineering Materials, EarlyView.
The temperature dependence of fatigue behavior in nickel‐based superalloys is investigated through high‐resolution measurements of plastic localization. While increasing temperature reduces localization and enhances fatigue performance in René 88DT, Inconel 718 exhibits a sharp degradation at intermediate temperature due to intensified slip ...
M. Calvat, D. Anjaria, I. Woo, C. Bean, D. Texier, J. C. Stinville   +5 more
wiley   +1 more source

System Modularity Chip for Analysis of Rare Targets (SMART-Chip): Liquid Biopsy Samples. [PDF]

ACS Sens, 2021
Pahattuge TN, Freed IM, Hupert ML, Vaidyanathan S, Childers K, Witek MA, Weerakoon-Ratnayake K, Park D, Kasi A, Al-Kasspooles MF, Murphy MC, Soper SA.   +11 more
europepmc   +1 more source

Tailoring Functional Properties of Ti–Ni–Cu Shape Memory Alloy Thin Films for MEMS Actuators

Advanced Engineering Materials, EarlyView.
A comprehensive study of critical parameters required to develop well‐performing Ti–Ni–Cu thin film shape memory alloy microactuators is provided. Materials science and device integration aspects are integrated by addressing structural and physical relationships using complementary characterization techniques as well as a practical fabrication solution
Elaheh Akbarnejad, Aleksander Kostka, Gowtham Arivanandhan, Yujiao Li, Alan Savan, Manfred Kohl, Alfred Ludwig   +6 more
wiley   +1 more source

Enhancing virtual physically unclonable function security through neuron-criticality analysis and lightweight encryption

Scientific Reports
Physically unclonable functions (PUFs) have long been a key component of hardware-based device authentication. They rely on intrinsic manufacturing variability to give unique and tamper-resistant Identifiers for each silicon device.
Raviha Khan, Hani Saleh, Brahim Mefgouda, Omar Alhussein, Sami Muhaidat   +4 more
doaj   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source