Article
Thermodynamics
Zilong Deng, Shangwen Gao, He Wang, Xiangdong Liu, Chengbin Zhang
Summary: This paper investigates the condensation behavior and heat transfer characteristics of humid air on vertical surfaces with wettability gradient. The results show that the traditional gradient surface performs better than the hydrophilic case but worse than the hydrophobic case. Therefore, a periodic gradient surface is introduced to improve the condensation heat transfer.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Thermodynamics
Jiejin Cai, Ziqi Gong, Zhihong Tang, Chenjie Qiu, Bing Tan
Summary: Surfaces with mixed wettability patterns have the potential to improve energy conversion efficiency of industrial equipment by affecting bubble dynamics and flow field properties. This study investigates the thermodynamic, bubble dynamics, and water velocity vector field of bubbles generated on designed surfaces using various measurement techniques. The results demonstrate that the wettability and width of the pattern significantly impact bubble formation modes, heat transfer, bubble floatation, and water motion.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Materials Science, Multidisciplinary
Guinuan Pan, Zhihai Jia, Huweihang Ding, Chenyang Zhang, Jiao Wang
Summary: This paper investigates the manipulation of droplet motion using gradient wettability surfaces. Experimental results show that curved topography has a better guiding effect on the droplet spreading direction, while gradient wettability has little effect on the spreading diameter of the droplet.
JOURNAL OF MATERIALS SCIENCE
(2022)
Article
Materials Science, Multidisciplinary
Hailang Wan, Shuangshuang Li, Junjian Li, Tao Liu, Jianping Lin, Junying Min
Summary: An eco-friendly strategy of using ns-laser treatment followed by simple hygrothermal treatment is proposed for the facile preparation of superhydrophobic metallic surfaces. The mechanism of accelerated wettability transition to superhydrophobicity is dominated by nanostructure transformation, which is demonstrated by comparative analysis and theoretical modelling. The reconstructed surface layer of spherical AlOOH nanocrystals enables water droplet in Wenzel wetting state.
MATERIALS & DESIGN
(2023)
Article
Chemistry, Physical
Tomas Primus, Pavel Zeman, Jan Brajer, Pavel Kozmin, Simon Syrovatka
Summary: The study employed a quick nanosecond laser micro structuring process to alter the surface wettability of Ti6Al4V alloy. Post-processing methods had significant impact on surface wettability, while unique environmental conditions and cleaning methods could also change sample properties.
Review
Chemistry, Physical
Dagui Wang, Jinglong Yang, Junchang Guo, Zhijuan Duan, Deihui Wang, Fan Xia, Fei Deng, Xu Deng
Summary: Liquid-like polymer lubricating surfaces (LPLSs) are solid substrates with highly flexible polymer chains grafted via covalent bonds, which enables them to have ultralow contact-angle hysteresis, repellency of various liquids and bulk ice, and stability. LPLSs have potential applications in liquid motion, biological detection, and environmental protection.
Article
Chemistry, Analytical
Ying Jun Ren, Sang Woo Joo
Summary: In this study, a finite-volume method based on OpenFOAM was used to numerically investigate the migration of viscoelastic droplets on rigid surfaces with wettability gradients. The parameters studied included droplet size, relaxation time, solvent viscosity, and polymer viscosity. The results showed that the wettability gradient induced spontaneous migration of viscoelastic droplets from hydrophobic to hydrophilic regions on the substrate. The migration speed and distance of the droplets increased with an increase in the Weissenberg number and droplet size. However, an increase in polymer viscosity resulted in an increase in migration speed but a decrease in migration distance.
Article
Chemistry, Multidisciplinary
Yaqi Cheng, Mingmei Wang, Jing Sun, Minjie Liu, Bingang Du, Yuanbo Liu, Yuankai Jin, Rongfu Wen, Zhong Lan, Xiaofeng Zhou, Xuehu Ma, Zuankai Wang
Summary: The study achieves dropwise condensation on a hydrophilic surface by mimicking the structures and functions of moss Rhacocarpus, enabling efficient water collection.
Review
Chemistry, Multidisciplinary
Zhentao Hao, Weihua Li
Summary: The nepenthes-inspired lubricant-infused surface (LIS) is a novel repellent surface with self-healing, self-cleaning, pressure stability, and ultra-slippery properties, and has shown great promise in microfluidics. Recent developments have focused on droplet manipulation on LIS with different mechanisms induced by various external stimuli, such as thermal, light, electric, magnetic, and mechanical force. The properties of the droplet, lubricant, and substrate on LIS determine the droplet condition, and droplet manipulation can be achieved through altering slipperiness, electrostatic force, and wettability. Applications in various fields, including microreactors and microfluidics, have also been discussed.
Article
Thermodynamics
X. Z. Sun, Q. Li, W. X. Li, Z. X. Wen, B. Liu
Summary: Surface wettability is crucial for pool boiling heat transfer performance. This study focuses on microstructured surfaces with spatially-controlled mixed wettability and investigates their pool boiling performance. The results show that the size of hydrophobic spots on the tops of microstructures has a significant influence on the boiling performance. By optimizing the combined effects of mixed wettability and microstructures, the new microstructured surface outperforms plain surfaces and those with entirely modified wettability. The heat transfer coefficient (HTC) and critical heat flux (CHF) are significantly enhanced.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Nanoscience & Nanotechnology
Theodoros Dimitriadis, Luca Stendardo, Irene Tagliaro, Anna Maria Coclite, Carlo Antonini, Tanmoy Maitra
Summary: Controlling water transport and management in harsh weather conditions is crucial. However, the implementation of superhydrophobic coatings in real-world applications has been limited by durability issues and environmental regulations. In this study, durable surfaces based on contrast wettability were developed using a combination of hydrophobic coating and laser microtexturing. The concept has been validated on aluminum alloy substrates with anodic aluminum oxide coating, showing long-term durability in UV and corrosion tests.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Engineering, Chemical
Zhen Xu, Lei Zheng, Zhen Dong, Aixian Liu, Yiwei Wang, Qiang Sun, Jianyi Chen, Xuqiang Guo
Summary: In this study, the adhesion strength of semi-clathrate hydrate to different solid surfaces was measured, and it was found that the adhesion strength is negatively correlated with the wettability of the surface. Additionally, low wettability and low surface roughness were found to effectively reduce the critical rate required to remove hydrate deposition, achieving self-removal of hydrates. This study holds significant theoretical implications for designing self-cleaning surfaces for oil and gas pipes.
Article
Physics, Applied
Sihang Gao, Zhifeng Hu, Zhiping Yuan, Xiaomin Wu
Summary: This study presents a flexible approach to efficiently regulate the direction and velocity of droplet jumping on superhydrophobic surfaces using superhydrophobic string. By changing the inclination angle of the string, the jumping direction of the coalescent droplet shows a maximum deviation of 68.1 degrees from the surface normal, with a maximum energy conversion rate of 32.1%.
APPLIED PHYSICS LETTERS
(2021)
Article
Engineering, Manufacturing
S. Mekhiel, Philip Koshy, M. A. Elbestawi
Summary: This research explores the potential of additive texturing (AT) to enhance the functionality of AM products by tailoring the topography of AM parts in process to include textures.
ADDITIVE MANUFACTURING
(2021)
Article
Engineering, Chemical
Imdad Uddin Chowdhury, Pallab Sinha Mahapatra, Ashis Kumar Sen
Summary: Passive droplet manipulation can be achieved by creating a wettability gradient on surfaces, and 3D numerical simulations were performed to analyze droplet motion on a broad range of wettability gradient surfaces. The droplet shape at a particular non-dimensional time was found to be identical on different surfaces, despite being at various locations at a fixed time. Further exploration into the physics behind this identical droplet shape formation is proposed, along with a correlation for the dependence of this phenomenon on various geometrical parameters and fluid properties.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Engineering, Biomedical
Jeongyeon Seo, Christina Lanara, Ji Yu Choi, Jungnam Kim, Hyeoncheol Cho, Young-Tae Chang, Kyungtae Kang, Emmanuel Stratakis, Insung S. Choi
Summary: This study investigates the migratory behaviors of primary hippocampal neurons on a silicon microcone array, revealing a correlation between neuronal migration and the morphology dictated by the pitch and shape of underlying SiMC structures. Real-time imaging on the topographical substrate also unveils new modes of neuronal migration not observed on conventional flat culture plates.
ADVANCED HEALTHCARE MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Marta M. Maciel, Tiago R. Correia, Vitor M. Gaspar, Joao M. M. Rodrigues, Insung S. Choi, Joao F. Mano
Summary: By partially coating human adipose-derived mesenchymal stem cells (hASCs) with a hard silica layer, cell survival in suspension conditions is enhanced, leading to a more adherent phenotype. This new protocol not only improves cell handling and application, but also provides a new generation of hybrid materials with functionalization of the silica backpack for various applications in tissue engineering, biosensing, drug delivery, and targeted cell-based therapies.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Review
Engineering, Biomedical
Hojae Lee, Nayoung Kim, Hyeong Bin Rheem, Beom Jin Kim, Ji Hun Park, Insung S. Choi
Summary: Significant progress has been made in the past decade in the single-cell nanocoating of mammalian cells, with various materials and strategies being utilized to ensure cell sustainability and explore potential applications. A potential future direction is the creation of a cytospace system composed of interacting cellular hybrids.
ADVANCED HEALTHCARE MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Yeji Kim, Jihoo Kim, Won June Kim, Eok Kyun Lee, Insung S. Choi
Summary: 3DGCN is a graph neural network variant that utilizes 3D bond information on molecules for chemical tasks. It shows the ability to recognize ligand rotation, but its prediction accuracy is pooling-dependent, with different pooling operations leading to different results in classifying protein-ligand binding events.
BULLETIN OF THE KOREAN CHEMICAL SOCIETY
(2021)
Article
Chemistry, Multidisciplinary
Jihoo Kim, Yeji Kim, Eok Kyun Lee, Chong Hak Chae, Kwangho Lee, Won June Kim, Insung S. Choi
Summary: This study proposes data augmentation through molecular rotation to enhance the orientation recognition ability of the 3DGCN model in protein-ligand binding. The augmented model can effectively predict active ligands from candidate datasets and potentially be used for virtual drug screening and discovery.
CHEMISTRY-AN ASIAN JOURNAL
(2021)
Article
Chemistry, Multidisciplinary
Sang Yeong Han, Gyeongwon Yun, Duc Tai Nguyen, Eunhye K. Kang, Hojae Lee, Seulbi Kim, Beom Jin Kim, Ji Hun Park, Insung S. Choi
Summary: In this study, the use of eggshell membrane hydrolysates and coffee melanoidins as materials for encapsulating cells is proposed. The resulting nanoshells demonstrate high biocompatibility, protecting the cells from harmful heavy metals and UV-B irradiation. This research provides a new option for interfacing living cells and materials.
Article
Chemistry, Multidisciplinary
Hojae Lee, Joohyouck Park, Nayoung Kim, Wongu Youn, Gyeongwon Yun, Sang Yeong Han, Duc Tai Nguyen, Insung S. Choi
Summary: This research describes a strategy for imparting living cells with extrinsic catalytic capability through nanoencapsulation, allowing cells to acquire new biochemical functions and enhancing their biological functions. This has important implications for catalytic bioempowerment of living cells.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Yoonho Jeong, Jihoo Kim, Yeji Kim, Insung S. Choi
Summary: This work proposes the use of I-N - A instead of the normalized form I-N + A in graph convolutional networks for deep-learning chemistry. The performance of the GCN model with D-1/2(I-N - A)D-1/2 is comparable to the vanilla GCN using (D) over tilde (-1/2)(I-N + A)(D) over tilde in various chemistry datasets. The use of I-N - A provides more chemically intuitive information on bond properties in molecules. This work emphasizes the necessity of addressing molecular-representation problems in deep-learning chemistry from unprecedented angles.
BULLETIN OF THE KOREAN CHEMICAL SOCIETY
(2022)
Article
Chemistry, Multidisciplinary
Yeji Kim, Yoonho Jeong, Jihoo Kim, Eok Kyun Lee, Won June Kim, Insung S. Choi
Summary: Most graph neural networks in deep-learning chemistry are based on the 2D representation of molecules, but our proposed model, MolNet, incorporates 3D non-bond information and bond-strength information, achieving superior performance in classification and regression tasks.
CHEMISTRY-AN ASIAN JOURNAL
(2022)
Review
Pharmacology & Pharmacy
Seoin Yang, Hyunwoo Choi, Duc Tai Nguyen, Nayoung Kim, Su Yeon Rhee, Sang Yeong Han, Hojae Lee, Insung S. Choi
Summary: Living cells have the unique ability to perform complex biochemical reactions with precision and efficiency, making them attractive for therapeutic applications. Recent progress has been made in the development of engineered therapeutic cells by chemically modifying cell surfaces at the single-cell level, allowing individual cells to possess designed therapeutic functions in a compatible manner. This review highlights the latest advances in therapeutic living cells using single-cell surface engineering, including potential applications in blood transfusion, drug delivery, cancer therapy, probiotic therapy, and tissue engineering and regenerative medicine. The review also briefly discusses strategies for functionalizing cell surfaces with biomolecules and materials, as well as the future direction of constructing active cell-in-shell nanobiohybrid systems for single-cell surface engineering.
ADVANCED THERAPEUTICS
(2023)
Article
Materials Science, Biomaterials
Jungnam Kim, Seoin Yang, Insung S. Choi
Summary: In this study, a neuron-astrocyte sandwich coculture model was established to investigate the neurotoxicity of CBD and its effects on neuronal responses. The results showed that the support of astrocytes can significantly attenuate the neurotoxic effects of CBD and reduce cellular morphological damage. Furthermore, it was found that the increase of intracellular Ca2+ concentration and depolarization of mitochondrial membrane potential induced by CBD were noticeably ameliorated by coculturing neurons with astrocytes.
Article
Multidisciplinary Sciences
Sang Yeong Han, Nayoung Kim, Gyeongwon Yun, Hojae Lee, Insung S. Choi
Summary: In this study, a biocompatible strategy for synthesizing metal hydroxide hollow inorganic spheres (MH-HISs) was developed. The method involved mixing CaCO3 particles with metal ions in water, which resulted in the formation of hollow MH-HISs through ion-exchange reactions. The MH-HISs showed excellent mechanical durability and were capable of encapsulating enzymes without loss of catalytic activities, enabling multienzymatic cascade reactions.
NATURE COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Joohyouck Park, Nayoung Kim, Sang Yeong Han, Su Yeon Rhee, Duc Tai Nguyen, Hojae Lee, Insung S. Choi
Summary: Nanoencapsulation of living cells within artificial shells can enhance cell capabilities and enable the acquisition of external functions. This study reports a compositional transformation process of an enzyme-embedded nanoshell, which allows the release of functional molecules without losing activities and biorecognition.
Article
Chemistry, Multidisciplinary
Jihoo Kim, Yoonho Jeong, Won June Kim, Eok Kyun Lee, Insung S. Choi
Summary: The MolNet_Equi deep-learning model proposed in this paper can accurately predict both the magnitude and direction of molecular dipole moments, showcasing its superior performance in scalar and vectorial property prediction.
CHEMISTRY-AN ASIAN JOURNAL
(2023)
Article
Engineering, Biomedical
Sang Yeong Han, Hojae Lee, Duc Tai Nguyen, Gyeongwon Yun, Seulbi Kim, Ji Hun Park, Insung S. Choi
Summary: The use of eggshell membrane hydrolysate in combination with tannic acid for the formation of LbL shell shows great cytocompatibility and protective capability for cells, and can be postfunctionalized under mild conditions, making it a promising biomaterial for controlled chemical interfacing with living cells.
ADVANCED NANOBIOMED RESEARCH
(2021)