4.6 Article

Dynamics of Wicking in Silicon Nanopillars Fabricated with Interference Lithography and Metal-Assisted Chemical Etching

Journal

LANGMUIR
Volume 28, Issue 31, Pages 11465-11471

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/la302262g

Keywords

-

Funding

  1. Singapore-MIT Alliance
  2. National University of Singapore
  3. GLOBALFOUNDRIES

Ask authors/readers for more resources

The capillary rise of liquid on a surface, or wicking, has potential applications in biological and industrial processes such as drug delivery, oil recovery, and integrated circuit chip cooling. This paper presents a theoretical study on the dynamics of wicking on silicon nanopillars based on a balance between the driving capillary forces and viscous dissipation forces. Our model predicts that the invasion of the liquid front follows a diffusion process and strongly depends on the structural geometry. The model is validated against experimental observations of wicking in silicon nanopillars with different heights synthesized by interference lithography and metal-assisted chemical etching techniques. Excellent agreement between theoretical and experimental results, from both our samples and data published in the literature, was achieved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Multidisciplinary

Water-Modulated Biomimetic Hyper- Attribute-Gel Electronic Skin for Robotics and Skin-Attachable Wearables

Shengshun Duan, Qiongfeng Shi, Jianlong Hong, Di Zhu, Yucheng Lin, Yinghui Li, Wei Lei, Chengkuo Lee, Jun Wu

Summary: This article introduces an electronic skin (e-skin) that mimics the physical-chemical and sensory properties of human skin, showing promise for use in robotic skins and skin-attachable wearables with multisensory functionalities. Most e-skins developed so far focus on simulating only the sensory functions of human skin, while this advanced e-skin, called Hygel e-skin, covers both sensory and physical-chemical properties. The Hygel e-skin demonstrates desirable characteristics such as stretchability, self-healing, biocompatibility, biodegradability, weak acidity, antibacterial activities, flame retardance, temperature adaptivity, function reconfigurability, and evolvability. It is applied as an on-robot e-skin and skin-attached wearable, exhibiting highly skin-like attributes in capturing multiple sensory information and enabling real-time gesture recognition through deep learning. This Hygel e-skin holds potential for applications in advanced robotics and as a skin-replaceable artificial skin.

ACS NANO (2023)

Article Chemistry, Multidisciplinary

Midinfrared Spectroscopic Analysis of Aqueous Mixtures Using Artificial- Intelligence-Enhanced Metamaterial Waveguide Sensing Platform

Chengkuo Lee, Jingkai Zhou, Zixuan Zhang, Bowei Dong, Zhihao Ren, Weixin Liu

Summary: This article introduces an artificial intelligence-enhanced metamaterial waveguide sensing platform for the analysis of aqueous mixtures in the mid-infrared spectrum. With this platform, the absorption spectra of ternary mixtures in water can be successfully distinguished and decomposed to predict concentration. Additionally, accurate classification of 64 mixing ratios and four concentrations (below the detection limit of 972 ppm) with a classification accuracy of 98.88% and 92.86% respectively, as well as concentration prediction with root-mean-squared error ranging from 0.107% to 1.436%, are achieved. This research demonstrates the potential of further extending this sensing platform to a mid-infrared spectrometer-on-chip for data analytics of multiple organic components in aqueous environments.

ACS NANO (2023)

Review Chemistry, Analytical

Emerging Wearable Chemical Sensors Enabling Advanced Integrated Systems toward Personalized and Preventive Medicine

Tianyiyi He, Feng Wen, Yanqin Yang, Xianhao Le, Weixin Liu, Chengkuo Lee

ANALYTICAL CHEMISTRY (2023)

Review Chemistry, Physical

Triboelectric Nanogenerator Enabled Wearable Sensors and Electronics for Sustainable Internet of Things Integrated Green Earth

Yanqin Yang, Xinge Guo, Minglu Zhu, Zhongda Sun, Zixuan Zhang, Tianyiyi He, Chengkuo Lee

Summary: This review presents the advancements of TENG-based electronics in areas such as materials, hybridization, systems integration, and applications in healthcare, environment monitoring, transportation, and smart homes. TENG technology, with its self-powered, cost-effective, and highly customizable advantages, is considered one of the most promising technologies for the development of Internet of Things/5G infrastructure.

ADVANCED ENERGY MATERIALS (2023)

Article Materials Science, Multidisciplinary

Mid-Infrared Silicon-on-Lithium-Niobate Electro-Optic Modulators Toward Integrated Spectroscopic Sensing Systems

Siyu Xu, Zhihao Ren, Bowei Dong, Jingkai Zhou, Weixin Liu, Chengkuo Lee

Summary: Mid-infrared spectroscopy is a promising technique for molecule identification and label-free chemical sensing. Integrated photonic platforms built on lithium niobate substrates offer a solution to the electroabsorption issue in mid-infrared photonics. The proposed silicon-on-lithium-niobate platform demonstrates the potential for implementing integrated mid-infrared spectroscopic sensing systems.

ADVANCED OPTICAL MATERIALS (2023)

Article Chemistry, Physical

Vibration energy harvester with double frequency-up conversion mechanism for self-powered sensing system in smart city

Anxin Luo, Weihan Xu, Jiangyong Sun, Kunling Xi, Siyao Tang, Xinge Guo, Chengkuo Lee, Fei Wang

Summary: This paper proposes a vibration energy harvester with a double frequency-up conversion mechanism, which is capable of harvesting energy from ultra-low-frequency vibrations. The device can convert external vibrations from sub-Hertz to tens of Hertz and further to hundreds of Hertz, achieving a high conversion ratio of 8400. The comprehensive dynamic model proposed in this paper has been verified through theoretical analysis and COMSOL simulation, effectively analyzing the frequency conversion process and output voltage. When excited by a frequency of 0.2 Hz, the device can generate an average output power of 75 mu W with a compact size. Its non-contact design allows for application in sealed scenarios for smart city construction.

NANO ENERGY (2023)

Review Chemistry, Multidisciplinary

Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics

Hong Zhou, Liangge Xu, Zhihao Ren, Jiaqi Zhu, Chengkuo Lee

Summary: This review introduces the combination of machine learning (ML) and surface-enhanced spectroscopy techniques (SERS/SEIRA) and discusses the benefits of ML algorithms for SERS/SEIRA. It also highlights the applications of ML-combined SEIRA/SERS in molecular diagnostics and screening and provides perspectives on future developments in ML-integrated SEIRA/SERS.

NANOSCALE ADVANCES (2023)

Article Chemistry, Multidisciplinary

Intelligent Cubic-Designed Piezoelectric Node (iCUPE) with Simultaneous Sensing and Energy Harvesting Ability toward Self- Sustained Artificial Intelligence of Things (AIoT)

Manjuan Huang, Minglu Zhu, Xiaowei Feng, Zixuan Zhang, Tianyi Tang, Xinge Guo, Tao Chen, Huicong Liu, Lining Sun, Chengkuo Lee

Summary: The evolution of AIoT greatly promotes the development of smart cities by enabling comprehensive perception and seamless communication. However, the integration and sustainability of AIoT nodes are currently limited. In this study, an intelligent piezoelectric AIoT node called iCUPE is designed, which integrates energy harvesting and self powered sensing modules. It achieves continuous power supply over a wide frequency range and high-precision multifunctional vibration recognition. The proposed iCUPE is scalable and essential for AIoT implementation in diverse environments.

ACS NANO (2023)

Article Chemistry, Multidisciplinary

Soft Robotic Perception System with Ultrasonic Auto-Positioning and Multimodal Sensory Intelligence

Qiongfeng Shi, Zhongda Sun, Xianhao Le, Jin Xie, Chengkuo Lee

Summary: A soft robotic perception system with remote object positioning and multimodal cognitive capability is developed by integrating an ultrasonic sensor with flexible triboelectric sensors. The system allows for accurate object positioning and identification, expanding the adaptability of current soft robotic systems in various applications.

ACS NANO (2023)

Article Chemistry, Multidisciplinary

Ultrasensitive Molecular Fingerprint Retrieval Using Strongly Detuned Overcoupled Plasmonic Nanoantennas

Dongxiao Li, Hong Zhou, Ziwei Chen, Zhihao Ren, Cheng Xu, Xianming He, Tao Liu, Xin Chen, He Huang, Chengkuo Lee, Xiaojing Mu

Summary: Tailoring light-matter interactions via plasmonic nanoantennas (PNAs) is a breakthrough technology for spectroscopic applications. This study demonstrates that low interaction efficiency caused by detuning can be addressed by using overcoupled PNAs (OC-PNAs) with a high ratio of radiative to intrinsic loss rates, enabling ultrasensitive spectroscopy at strong plasmonic-molecular detuning. OC-PNAs achieve ultrasensitive molecule signals within a wavelength detuning range 248 cm(-1).

ADVANCED MATERIALS (2023)

Article Multidisciplinary Sciences

Triboelectric-induced ion mobility for artificial intelligence-enhanced mid-infrared gas spectroscopy

Jianxiong Zhu, Shanling Ji, Zhihao Ren, Wenyu Wu, Zhihao Zhang, Zhonghua Ni, Lei Liu, Zhisheng Zhang, Aiguo Song, Chengkuo Lee

Summary: We propose a synergistic methodology of artificial intelligence-enhanced ion mobility and mid-infrared spectroscopy, which achieves high accuracy in isopropyl alcohol identification and gas concentration prediction by leveraging the complementary features from sensing signals in different dimensions.

NATURE COMMUNICATIONS (2023)

Article Chemistry, Multidisciplinary

A Natural Gradient Biological-Enabled Multimodal Triboelectric Nanogenerator for Driving Safety Monitoring

Yafeng Pang, Xingyi Zhu, Shuainian Liu, Chengkuo Lee

Summary: A gradient and multimodal triboelectric nanogenerator (GM-TENG) is proposed based on the nature triply periodic minimal surface (TPMS), showing high sensitivity and excellent multimodal monitoring for improving driving safety.

ACS NANO (2023)

Review Nanoscience & Nanotechnology

Thin-film PMUTs: a review of over 40 years of research

Kaustav Roy, Joshua En-Yuan Lee, Chengkuo Lee

Summary: This review discusses the research progress of thin-film PMUTs in the field of microultrasound, highlighting that the research in this field began 44 years ago with the development of functional piezoelectric thin-film materials. Three major companies are currently commercializing thin-film PMUTs on a bulk scale. The review comprehensively covers the extensive development of these devices' design, manufacturing, and function, including the global PMUT outlook, design principles, manufacturing methods, nonconventional PMUT designs, and category-wise applications.

MICROSYSTEMS & NANOENGINEERING (2023)

Article Biochemical Research Methods

Microfabricated acoustofluidic membrane acoustic waveguide actuator for highly localized in-droplet dynamic particle manipulation

Philippe Vachon, Srinivas Merugu, Jaibir Sharma, Amit Lal, Eldwin J. Ng, Yul Koh, Joshua E. -Y. Lee, Chengkuo Lee

Summary: This study presents microfabricated piezoelectric thin film membranes made via silicon diffusion for guided flexural wave generation as promising acoustofluidic actuators with low frequency, voltage, and power requirements. The guided wave propagation can be dynamically controlled to tune and confine the induced acoustofluidic radiation force and streaming. The membrane acoustic waveguide actuators offer a promising pathway for acoustofluidic applications such as biosensing, organoid production, and in situ analyte transport.

LAB ON A CHIP (2023)

Article Materials Science, Multidisciplinary

Robust triboelectric information-mat enhanced by multi-modality deep learning for smart home

Yanqin Yang, Qiongfeng Shi, Zixuan Zhang, Xuechuan Shan, Budiman Salam, Chengkuo Lee

Summary: This research develops a digital-twin smart home system that utilizes robust TENG technology for smart home monitoring and multi-modality information generation. By eliminating the influence of environmental changes and achieving arbitrary position sensing, the accuracy of user identification is improved. Additionally, by projecting the information into virtual reality, the visualization of the smart home is achieved.

INFOMAT (2023)

No Data Available