Article
Optics
V. S. Zhigarkov, V. I. Yusupov
Summary: This study introduces a promising method of laser printing with gel micmdroplets containing living organisms for microbiology, biotechnology, and medicine. It discusses the pressure jumps generated during the transfer process and the importance of assessing these jumps to improve the technology of laser printing with biomaterials. Experimental estimates of the jumps were conducted based on measurements of the acoustic pressure using a hydrophone, revealing different pressure jumps when using titanium and chromium films.
OPTICS AND LASER TECHNOLOGY
(2021)
Article
Computer Science, Software Engineering
Koya Narumi, Kazuki Koyama, Kai Suto, Yuta Noma, Hiroki Sato, Tomohiro Tachi, Masaaki Sugimoto, Takeo Igarashi, Yoshihiro Kawahara
Summary: We propose Inkjet 4D Print, a method that uses an inkjet UV printer to print 2D patterns on a heat-shrinkable base sheet to create self-folding 3D origami tessellations. Compared to previous folding-based 4D printing approaches using FDM 3D printers, our method offers higher resolution, faster printing speed, and optional full-color decoration.
ACM TRANSACTIONS ON GRAPHICS
(2023)
Article
Chemistry, Physical
Zhewei Chen, Junjie Wu, Zheheng Song, Yatao Zou, Jingyun Hu, Ya Li, Yuhang Song, Yawen Li, Guilin Bai, Xiang Li, Yanan Zhu, Xinping Zhang, Xue-Dong Wang, Tao Song, Baoquan Sun
Summary: This study successfully fabricated polycrystalline perovskite microcavity arrays using inkjet printing technology, achieving laser emission and high-definition patterning. It provides a facile process for the realization of perovskite-cavity laser devices.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Engineering, Chemical
Chuan-Fu Deng, Shi-Hao Yang, Rui Xie, Xiao-Jie Ju, Zhuang Liu, Da-Wei Pan, Jianhong Xu, Guangsheng Luo, Wei Wang, Liang-Yin Chu
Summary: A strategy based on stepwise nesting of basic fractal networks is proposed for modular microfluidic integration, which enables more flexible choices of microchannel dimensions for uniform flow distribution. Compared to the control group, the nested fractal networks can significantly improve the monodispersity of droplet size.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Chemistry, Physical
Jianxing Sun, Patricia B. Weisensee
Summary: Researchers have discovered a size-dependent reversal of water droplet movement on an oil meniscus. While larger droplets ascend the meniscus due to unbalanced capillary forces, smaller droplets descend the meniscus as they are carried by surface flow. This phenomenon is attributed to microscopic Marangoni convection cells within the oil meniscus, and the magnitude and direction of these cells depend on the meniscus geometry and the substrate temperature.
Article
Chemistry, Multidisciplinary
Yidenekachew J. Donie, Stefan Schlisske, Radwanul H. Siddique, Adrian Mertens, Vinayak Narasimhan, Fabian Schackmar, Manuel Pietsch, Ihteaz M. Hossain, Gerardo Hernandez-Sosa, Uli Lemmer, Guillaume Gomard
Summary: The spontaneous phase separation of polymers is a thermodynamic process that can occur in both biological and synthetic materials. Current wet process methods limit the design possibilities for phase-separated nanostructures, so a versatile inkjet printing deposition method has been introduced to address this issue.
Article
Chemistry, Multidisciplinary
Hui Liu, Guangyi Shi, Rashid Khan, Shenglong Chu, Zongming Huang, Tongfei Shi, Haiding Sun, Yaping Li, Hongmin Zhou, Peng Xiao, Tao Chen, Zhengguo Xiao
Summary: A robust inkjet printing strategy is developed to fabricate large-area flexible perovskite light-emitting diodes (PeLEDs). By using a wetting interlayer and solvent engineering, uniform perovskite films are obtained on flexible substrates, resulting in efficient PeLEDs with a peak external quantum efficiency of 14.3%. The red, green, and sky-blue large-area (28 cm2) flexible PeLEDs also exhibit uniform emission.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Qiaoshuang Zhang, Qihao Jin, Adrian Mertens, Christian Rainer, Robert Huber, Jan Fessler, Gerardo Hernandez-Sosa, Uli Lemmer
Summary: This study reports the fabrication of Bragg mirrors using fully inkjet printing. The photonic bandgap and central wavelength of the mirrors can be adjusted by varying the printing parameters. Inkjet printing allows for the fabrication of Bragg mirrors on different substrates, with high homogeneity and reflection properties. This approach can be applied to various applications such as microscale photonic elements, large-area displays, and solar technologies.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Analytical
Diwakar M. Awate, Seth Holton, Katherine Meyer, Jaime J. Juarez
Summary: Flow focusing is an important technique for studying cellular samples, and this article presents low-cost millifluidic flow-focusing devices fabricated using a desktop 3D printer. Two printing strategies, monolithic SLA and hybrid molding, were used to create the devices. The experiments showed that the focusing widths achieved in these devices can be validated using a numerical model developed in ANSYS.
Article
Physics, Mathematical
Karun P. N. Datadien, Gianluca Di Staso, Christian Diddens, Herman M. A. Wijshoff, Federico Toschi
Summary: We demonstrate that the lattice Boltzmann method (LBM) based color-gradient model with a central moments formulation (CG-CM) accurately simulates the droplet-on-demand inkjetting process on a micrometer length scale by comparing it to the Arbitrary Lagrangian Eulerian Finite Element Method (ALE-FEM). The simulated results of a full jetting cycle using both CG-CM and ALE-FEM are quantitatively compared, showing close agreement in terms of ejected ink velocity, volume, and contraction rate. Additionally, the CG-CM method accurately captures various physical phenomena in three test cases and allows for systematic investigation into asymmetric jetting.
COMMUNICATIONS IN COMPUTATIONAL PHYSICS
(2023)
Review
Materials Science, Multidisciplinary
Rifat Kacar, Ramis Berkay Serin, Esin Ucar, Alper Ulku
Summary: Inkjet printing is a widely used microfluid based printing technology that has extended beyond its traditional role. It is considered as an additive, non-contact, maskless, rapid, and cost-effective manufacturing tool thanks to its ability to print functional materials. The current approaches of RGB pixel printing provide new insights into the display manufacturing industry. This review focuses on inkjet printed manufacturing and provides a detailed view of high-end display technologies, recent R&D trends, and breakthroughs.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Materials Science, Multidisciplinary
Iseok Sim, Seongju Park, Kwon-Yong Shin, Chanwoo Yang, Heuiseok Kang, Jun Young Hwang, Seung-Jae Moon
Summary: In this study, conductive lines with high aspect ratio were printed using inkjet printing of Ag nanoparticle inks and laser-induced selective surface wetting technique. The technique involved coating a hydrophobic layer of self-assembled monolayer-treated ZnO nanorods on a glass substrate and selectively ablating it with a laser to create micro-channels for inkjet printing. By adjusting the width of the laser-ablated channels and pitch of the ink drops, the 3D shape of the printed silver lines was measured to study their effects on width, height, and uniformity. The results showed that the technique achieved uniform lines with a width of 35 µm and an average thickness of 0.46 µm, with an aspect ratio 7.6 times higher than that of lines printed on bare glass.
Article
Engineering, Manufacturing
Guohu Luo, Di Wu, Yu Zhou, Yongxiang Hu, Zhenqiang Yao
Summary: This study investigates the ejection behaviors of microdroplets in voxel-based laser-induced forward transfer (VB-LIFT). It is found that the ejection velocity increases linearly with laser fluence and is independent of voxel side length. The majority of laser energy is converted into internal energy, with only a small fraction converted into the kinetic energy of the ejected microdroplets. The relaxation of thermal compressive stress drives the detachment of the metal voxel from the donor glass to generate microdroplets.
ADDITIVE MANUFACTURING
(2022)
Article
Chemistry, Analytical
Chengxin Wu, Xing Wei, Xue Men, Yulong Xu, Junjie Bai, Yu Wang, Lei Zhou, Yong-Liang Yu, Zhang-Run Xu, Ming-Li Chen, Jian-Hua Wang
Summary: We constructed an open and low-cost flow cytometer that integrates single cell aligning and fluorescence detection functions. The hardware cost for the LIF detection unit and 3D focusing device is $3200 and $400 respectively. The flow cytometer showed favorable assay precision and accuracy, and was successfully applied for evaluating ROS generation in single HepG2 cells.
Article
Nanoscience & Nanotechnology
Brian Derby, Jinxin Yang, Pei He
Summary: Continuous conducting lines with a width of 5-20 μm have been successfully printed using Ag nanoparticle ink and drop-on-demand (DOD) electrohydrodynamic (EHD) inkjet printing. The stability of the printed lines is affected by the contact angle and the spacing between drops. The upper and lower bounds of the drop spacing for stable line formation are consistent with existing models. After printing and sintering, the conductivity of the printed tracks is about 15%-20% of bulk Ag, indicating a porosity of about 60%.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Polymer Science
Adlai Katzenberg, Andrea Angulo, Ahmet Kusoglu, Miguel A. Modestino
Summary: This study reveals the correlations between sorbate polarity, ionomer domain structure, and ionic conductivity when Nafion membranes are swollen with organic sorbates. Short-chain alcohols and alkanes have different effects on the swelling, nanostructure, and ionic conductivity of Nafion.
Article
Optics
Ferreol Soulez, Manon Rostykus, Christophe Moser, Michael Unser
Summary: This paper presents a reconstruction method to recover high-resolution images of the phase and amplitude of a sample with an extrapolated field of view from aliased intensity measurements taken at a lower resolution.
Review
Nanoscience & Nanotechnology
Babak Rahmani, Ilker Oguz, Ugur Tegin, Jih-liang Hsieh, Demetri Psaltis, Christophe Moser
Summary: This paper introduces the potential of multimode fibers (MMF) for image transmission and explores the use of machine learning methods for image imaging and transmission. The advantages and disadvantages of using methods such as analog phase conjugation, digital phase conjugation, or full-wave holographic transmission matrix for fiber imaging are discussed.
Article
Optics
Chiara Bonati, Damien Loterie, Timothe Laforest, Christophe Moser
Summary: A lock-in method is introduced to enhance the phase contrast in incoherent differential phase contrast (DPC) imaging. By analog removal of the background, this method improves the phase sensitivity. Experimental results show an 8-fold increase in sensitivity and a 70-fold reduction in data collection compared to standard DPC measurements. The method achieves a single-shot sensitivity of 0.7 mrad at a frame rate of 1400 frames per second. This approach opens up possibilities for the use of incoherent phase microscopy in biological applications requiring high phase sensitivity and millisecond response time.
PHOTONICS RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Jorge Madrid-Wolff, Antoine Boniface, Damien Loterie, Paul Delrot, Christophe Moser
Summary: 3D printing has revolutionized manufacturing in many areas. Developments in light-based techniques using photocurable resins have led to shorter print times and higher resolution. However, these techniques are limited to homogeneous and transparent resins due to the interference caused by light scattering. This study proposes a method that takes into account light scattering in the resin to improve the printing process. Experimental results demonstrate the importance of this correction, particularly when printing objects that exceed the scattering mean free path. The technique shows promising applications in printing within turbid materials, with potential benefits for bioprinting cell-laden constructs.
Article
Energy & Fuels
Andrea E. Angulo, Daniel Frey, Miguel A. Modestino
Summary: Green hydrogen production through water electrolysis is crucial for decarbonizing energy and industrial processes. This study investigates the impact of electrochemical reaction conditions and convective flows on bubble-induced overpotential losses, and finds that optimizing flow conditions can minimize these losses and improve efficiency.
Article
Optics
Chiara Bonati, Victoria Fay, Remy Dornier, Damien Loterie, Christophe Moser
Summary: Shifted Excitation Raman Difference Spectroscopy (SERDS) is a non-destructive chemical analysis method that can remove fluorescence background and other disturbances from Raman spectra. This study demonstrates the use of a lock-in camera to obtain online analog SERDS spectra, resulting in improved Signal-to-Noise Ratio (SNR) and reduced data storage.
Article
Engineering, Chemical
Daniel Frey, Ju Hee Shin, Adeola Akin, Xinshu Zhang, Miguel A. Modestino
Summary: Cerium(III/IV) has promising applications in redox flow batteries and redox-mediated water electrolyzers. However, due to its high oxidation potential, parasitic oxygen evolution can decrease the Faradaic efficiency of the oxidation reaction. Dynamic potential dosing can enhance the Faradaic efficiency by controlling the concentration of cerium(III) near the electrode. Bayesian optimization is used to quickly identify the optimal potential pulses for improved operation.
Review
Nanoscience & Nanotechnology
Niyazi Ulas Dinc, Amirhossein Saba, Jorge Madrid-Wolff, Carlo Gigli, Antoine Boniface, Christophe Moser, Demetri Psaltis
Summary: The prospect of massive parallelism of optics is attracting interest for novel photonic circuits, and 3D implementations have a high potential for scalability. However, as the technology for data input-output channels is 2D, there is a need to consider 2D-nD transformations. This review focuses on iterative techniques and neural networks in tackling 3D-2D transformations across different fields, providing a useful perspective for 3D optical design.
Article
Nanoscience & Nanotechnology
Qianyi Zhang, Antoine Boniface, Virendra K. Parashar, Martin A. M. Gijs, Christophe Moser
Summary: The recent development of light-based 3D printing technologies has revolutionized additive manufacturing. Researchers have proposed using upconversion nanoparticles (UCNPs) in place of traditional two-photon printing (TPP) for photopolymerization. By converting near-infrared (NIR) light into visible/UV light, UCNPs initiate polymerization and open up new possibilities for constructing 3D structures with micrometer feature size using inexpensive light sources.
Article
Chemistry, Multidisciplinary
Daniel Frey, K. C. Neyerlin, Miguel A. Modestino
Summary: This study demonstrates the use of Bayesian optimization to improve the production of CO in a CO2 electrolyzer, resulting in an increase in CO partial current density by over 64%.
REACTION CHEMISTRY & ENGINEERING
(2023)
Article
Optics
C. Gigli, A. Saba, A. B. Ayoub, D. Psaltis
Summary: Deep neural networks trained on physical losses are effective surrogates for nonlinear numerical solvers, capable of predicting solutions to Maxwell's equations and computing gradients of output fields. In this study, a tunable version of MaxwellNet is developed to compute light scattering from inhomogenous media with size comparable to the incident wavelength, while considering the optical Kerr effect. The network maps the relation between the refractive index and scattered field through convolutional neural networks, with additional fully connected layers dynamically adjusting the convolutional kernels to account for intensity-dependent refractive index. The network is demonstrated to be robust to perturbations due to self-focusing in the topology optimization of microlenses.
Article
Optics
Mustafa Yildirim, Ilker Oguz, Fabian Kaufmann, Marc Reig Escale, Rachel Grange, Demetri Psaltis, Christophe Moser
Summary: In this study, a reservoir computing approach using optical nonlinearity in a waveguide is explored for data processing. The experiments demonstrate that this method can improve classification accuracy and reduce the number of parameters compared to using digital neural networks.
Article
Chemistry, Multidisciplinary
Daniel Frey, Ju Hee Shin, Christopher Musco, Miguel A. Modestino
Summary: In this study, we extend Bayesian optimization (BO) and introduce a chemically-informed data-driven optimization (ChIDDO) approach. This approach combines inexpensive physical models and expensive experimental data to optimize a common objective function. By comparing it with traditional methods, we demonstrate the superiority of this approach.
REACTION CHEMISTRY & ENGINEERING
(2022)
