Results 61 to 70 of about 31,150 (250)

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

open access: yesAdvanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin   +5 more
wiley   +1 more source

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

open access: yesAdvanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee   +7 more
wiley   +1 more source

New trends in active filters for improving power quality [PDF]

open access: yes, 1995
Since their basic compensation principles were proposed around 1970, active filters have been studied by many researchers and engineers aiming to put them into practical applications.
Akagi, Hirofumi
core   +1 more source

Understanding the Effects of Conductive Polymer Electrode Coating on Recorded Neural Signals

open access: yesAdvanced Healthcare Materials, EarlyView.
Conductive polymer coatings are widely explored to improve the quality of signals recorded with chronically implanted neural electrodes, offering enhanced biocompatibility along with reduced electrode impedance. Combining computational modelling and data from PEDOT:PTS coated and PtIr electrodes in rats, we show that improvements in signal quality with
Karthik Sridhar   +4 more
wiley   +1 more source

Simulation of a single-phase active power filter based ANN controller [PDF]

open access: yes, 2013
This project presents the employment of a single-phase active power filter (APF) to compensate harmonics generated by battery charger. The presence of the harmonics leads to various problems and poor power quality.
Mahadan, Mohd Ezwan
core  

Harmonic Reduction in Variable Frequency Drives Using Active Power Filter [PDF]

open access: yes, 2014
In this paper Voltage Source Inverter (VSI) is used to supply a variable frequency variable voltage to a three phase induction motor drive in a variable speed application.
Nithya, K. (K)   +3 more
core   +1 more source

High Light Utilization and Color Rendering in Vacuum‐Deposited Semitransparent Perovskite Solar Cells

open access: yesAdvanced Materials, EarlyView.
In this work, low bandgap (≈1.55 eV) semitransparent perovskite solar cells (ST‐PSCs) having thin (thickness < ≈100 nm) perovskite layers and transparent conductive oxide‐based rear electrodes are fabricated using vacuum‐deposition methods. Two different ST‐PSCs demonstrated a high light utilization efficiency value of 4.2 (PCE: 9.26% and AVT: 45.3 ...
Abhyuday Paliwal   +9 more
wiley   +1 more source

Reduction and control of harmonic on three-phase squirrel cage induction motors with voltage source inverter (VSI) using ANN-grasshopper optimization shunt active filters (ANN-GOSAF)

open access: yesScientific African, 2023
: The research paper focuses on the reduction and control of harmonic in a 3-phaseSquirrel Cage induction motor (SCIM) which drive by a pulse width modulation (PWM) controlled three-phase converter using a newly proposed ANN-Grasshopper optimization ...
Timothy Oluwaseun Araoye   +5 more
doaj   +1 more source

Shunt Active Power Filter – SIMULINK simulation and DSP-based hardware realization [PDF]

open access: yes, 2014
2006-2007 > Academic research: refereed > Refereed conference paperVersion of ...
Che, Y, Cheng, KWE, Zhou, F
core   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

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