George Chiu

Professor

Purdue University

United States

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About

George Chiu is a Professor at Purdue University in the United States. His research areas include inkjet printing technologies, precision agriculture, and gas sensing materials. He has contributed to recent articles focusing on the control of drop volume and velocity in inkjet printing, as well as the development of composite materials for environmental monitoring applications.

Articles (15)

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2020

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2020

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2020

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UNITED STATES

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George Chiu

Research Interests

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Articles (15)

Inkjet-printed morphogenesis of tumor-stroma interface using bi-cellular bioinks of collagen-poly(N-isopropyl acrylamide-co-methyl methacrylate) mixture

Control of on-demand nanoliter drop volume and jetting velocity in piezoelectric inkjet printing

Drop-on-Demand Inkjet Drop Control With One-Step Look Ahead Estimation of Model Parameters

Invited review: Integration of technologies and systems for precision animal agriculture - A case study on precision dairy farming

A Carbon Nanotube-Functional Polymer Composite Film for Low-Power Indoor CO₂ Monitoring

Sorption Kinetics of Poly(ethyleneimine)–Poly(ethylene Oxide) Blends and the Implication for Low-Cost, Small-Scale CO2 Sensors

Thin layer lightweight and ultrawhite hexagonal boron nitride nanoporous paints for daytime radiative cooling

Poly (5-carboxyindole)–β-cyclodextrin composite material for enhanced formaldehyde gas sensing

A scaling law of particle transport in inkjet-printed particle-laden polymeric drops

Iterative Learning Control With Time-Delay Compensation: An Application to Twin-Roll Strip Casting

A Vapor Phase Trinitrotoluene Threshold Detector Enabled by Nonlinear Feedback

Vibrations of Air-Coupled Web Systems

Ionic Strength Influences on Biofunctional Au-Decorated Microparticles for Enhanced Performance in Multiplexed Colorimetric Sensors

Water-matrix interaction at the drop-drop interface during drop-on-demand printing of hydrogels

New Calibration Method for Implementing Machine Learning in Low-Cost Sensor Applications

Collaborators (6)

Xiulin Ruan

Jeffrey Rhoads

Dan Feng

Susana Diaz-Amaya

Bryan W. Boudouris

Bumsoo Han

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