Article
Materials Science, Multidisciplinary
Sara Esteghlal, Seyed Hashem Samadi, Seyed Mohammad Hashem Hosseini, Ali Akbar Moosavi-Movahedi
Summary: In this study, the artificial neural networks (ANNs) models including feedforward, cascadeforward, timedelay, layrec and narx were used to predict interfacial tension (IFT) properties based on the biopolymer content, pH, and time. Among these models, the timedelay model had the highest overall score and the lowest relative root mean square error (rRMSE) ranging from 0.68% to 2.51%. It was found that the timedelay model was the best model to predict IFT, considering its relative importance index for the input data.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Xiaojie Liu, Meiheriayi Mutailipu, Jiafei Zhao, Yu Liu
Summary: This study used neural network models to predict the interfacial tension between CO2 and brine, finding that temperature and pressure are the main influencing factors, with the WNN and BP models being more suitable for evaluating this tension.
Article
Materials Science, Characterization & Testing
Younes El Omari, Mohamed Yousfi, Jannick Duchet-Rumeau, Abderrahim Maazouz
Summary: The development of a new high temperature resistant interfacial rheology setup has enabled direct measurement of polymer-polymer interface at temperatures up to 200 degrees C. This allows for exploration of surface/interfacial properties of model fluids with different structures and viscoelastic characteristics, as well as the testing of molten semicrystalline polymer systems for the first time. Additionally, a new lightweight titanium based biconical geometry was designed to enable more sensitive measurement of interfacial rheological properties.
Article
Engineering, Mechanical
Xinxin Sun, Hongwei Li, Mei Zhan, Junyuan Zhou, Jian Zhang, Jia Gao
Summary: The paper presents a cross-scale model that combines CACPFEM and ANN to predict microstructural evolution and macroscopic parameters, bridging the responses of RVE and component. Through training, validating, testing, and optimization with a large response database, accurate predictions of anisotropy, tension-compression asymmetry, and dependencies on various factors were achieved.
INTERNATIONAL JOURNAL OF PLASTICITY
(2021)
Article
Chemistry, Physical
Jacopo Vialetto, Natalie Nussbaum, Jotam Bergfreund, Peter Fischer, Lucio Isa
Summary: Microgels are soft colloidal particles with high potential for applications, particularly in foam and emulsion stabilization and surface patterning. By comparing organic fluid phases with different interfacial tension values, the deformation of adsorbed microgels can be adjusted, leading to varying structural and mechanical responses of the monolayers. This offers additional control to customize the 2D assembly of soft particles for fine-tuning particle size and mechanical properties.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2022)
Article
Engineering, Environmental
Juan Hu, Jieyu Wu, Yuxiang Huang, Yingqi He, Jian Lin, Yamei Zhang, Yahui Zhang, Yanglun Yu, Wenji Yu
Summary: This article introduces a neural network interface design strategy and a mechanical dissociation and partial matrix removal pretreatment method to produce high-strength bamboo engineering composites on a large scale. The bonding interface formed between multiple dense bamboo layers can firmly fix the compressed bamboo cells and enhance the mechanical properties of the bamboo, resulting in a tensile strength of 853 MPa for the composite. This composite material has good mildew resistance, flame retardancy, and dimensional stability, and can be used in fields such as wind turbine blades, building structures, and outdoor walkways in the future.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Viet-Linh Tran, Seung-Eock Kim
Summary: This paper proposes an efficient approach using the finite element method and an Artificial Neural Network (ANN) to predict the ultimate moment of flush endplate connections at elevated temperatures. The developed ANN model accurately predicts the ultimate moment based on input variables such as endplate thickness, bolt pitch, and material properties. The proposed method shows great promise as a powerful design tool for steel connections at elevated temperatures.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Materials Science, Multidisciplinary
Mao Zhang, Hongjun Cai, Jiacheng Zhang, Qiaomin Li, Ying Wang, Ting Huang, Jianchun Liu, Xinyun Wang
Summary: Introducing a layer of oxygen into Cu64Zr36 MG for interfacial bonding controlled by ionic drift through the oxide, and deteriorating short-range ordering of MG, while uniaxial tensile tests show favorable ductility with reduced ultimate tensile strength.
Article
Engineering, Marine
Yuliang Zhao, Sheng Dong, Fengyuan Jiang, Atilla Incecik
Summary: The study introduces a hybrid approach based on BP neural network and Finite Element Method for conveniently predicting tension series of mooring systems for floating platforms, with validated accuracy. In addition, an economical method for optimizing mooring system design and an optional mooring selection plan are proposed in this research.
Article
Multidisciplinary Sciences
Hima Elsa Shaji, Arun K. Tangirala, Lelitha Vanajakshi
Summary: This study proposes an iterative joint clustering and prediction approach to improve the accuracy of travel time predictions. By creating data clusters that are sensitive to the quality of predictions, this method has been validated in real-world traffic scenarios.
Article
Chemistry, Physical
Mohd Sofi Numin, Almila Hassan, Khairulazhar Jumbri, Anita Ramli, Noorazlenawati Borhan
Summary: Chemical injection in chemical enhanced oil recovery (CEOR) can improve oil recovery by modifying the injected fluid characteristics to enhance interaction with oil in the reservoir. This study investigates the interfacial tension (IFT) reduction mechanism of an alkali-surfactant-polymer (ASP) solution with crude oil through experimental and molecular dynamics simulation approaches.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Chemistry, Physical
Cuthbert Shang Wui Ng, Hakim Djema, Menad Nait Amar, Ashkan Jahanbani Ghahfarokhi
Summary: In recent years, there has been a growing interest in cleaner energy production methods, and hydrogen production is seen as an attractive strategy for energy transition. This study used machine learning techniques to accurately predict the interfacial tension (IFT) of the H2-brine system. The results showed that the proposed models provided excellent estimations of the IFT, with the MLP-LMA model outperforming other models and existing correlations in the literature.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Yan-Ling Yang, Heng-Kwong Tsao, Yu-Jane Sheng
Summary: A deep neural network approach was developed to estimate interfacial tension in two-phase systems, showing better predictive power than traditional empirical correlations. Density difference and molecular structure have a greater impact on results, and a simplified input vector can still yield accurate results.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Crystallography
Lawrence W. Honaker, Anjali Sharma, Andy Schanen, Jan P. F. Lagerwall
Summary: This study measured the interfacial tension anisotropy of a common synthetic nematic LC compound 5CB against water using a microfluidic droplet aspiration technique. Results showed significant differences in interfacial tension under different LC alignment conditions, with stabilizer concentration also affecting the values. Future improvements in accuracy may be expected if a stabilizer better suited for tangential alignment can be found.
Article
Thermodynamics
Dong-Sheng Guo, Xiao-Bin Li, Hong-Na Zhang, Feng-Chen Li, Ping-Jian Ming, Masamichi Oishi, Marie Oshima
Summary: The study investigates the temperature dependence of surface/interfacial properties of liquids, finding a decreasing trend of surface tension and contact angle with temperature increase. Different dynamic behaviors of droplets are observed for ultra-pure water and surfactant solutions in different stages.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Chemistry, Physical
K. Vasanth Kumar, Kathrin Preuss, Linghong Lu, Zheng Xiao Guo, M. Magdalena Titiricit
JOURNAL OF PHYSICAL CHEMISTRY C
(2015)
Article
Chemistry, Multidisciplinary
K. Vasanth Kumar, Srinivas Gadipelli, Kathrin Preuss, Harshit Porwal, Tingting Zhao, Zheng Xiao Guo, Maria-Magdalena Titirici
Article
Chemistry, Physical
K. Vasanth Kumar, Kathrin Preuss, Zheng Xiao Guo, M. Magdalena Titirici
JOURNAL OF PHYSICAL CHEMISTRY C
(2016)
Article
Chemistry, Applied
Kathrin Preuss, Vasanth Kumar Kannuchamy, Adam Marinovic, Mark Isaacs, Karen Wilson, Isaac Abrahams, Maria-Magdalena Titirici
JOURNAL OF ENERGY CHEMISTRY
(2016)
Article
Materials Science, Ceramics
Min Yu, Enrico Bernardo, Paolo Colombo, Acacio R. Romero, Peter Tatarko, Vasanth K. Kannuchamy, Maria-Magdalena Titirici, Elinor G. Castle, Olivier T. Picot, Michael J. Reece
CERAMICS INTERNATIONAL
(2018)
Article
Chemistry, Applied
Kiran A. Ramisetty, K. Vasanth Kumar, Ake C. Rasmuson
ORGANIC PROCESS RESEARCH & DEVELOPMENT
(2019)
Article
Chemistry, Multidisciplinary
K. Vasanth Kumar, Kiran A. Ramisetty, K. Renuka Devi, Gamidi Rama Krishna, Claire Heffernan, Andrew A. Stewart, Jian Guo, Srinivas Gadipelli, Dan J. L. Brett, Evangelos P. Favvas, Ake C. Rasmuson
Summary: Crystallization experiments on highly supercooled solutions produced highly pure and crystalline mesocrystals of curcumin, exhibiting a crystallographic hierarchy. The formation of spherulites is attributed to the high degree of supercooling and particle-mediated crystallization is proposed as an efficient method for organic compound purification.
Article
Chemistry, Multidisciplinary
K. Vasanth Kumar, Claire Heffernan, Kiran A. Ramisetty, Christopher A. Howard, Sergey Beloshapkin
Summary: This study demonstrates the potential of using Time-of-Flight Secondary Ion Mass Spectrometry (TOF-SIMS) to simultaneously quantify the distribution of structurally-similar impurities on the surface of crystals. The results provide new information that can help to understand the crystallisation process.
Review
Chemistry, Multidisciplinary
Orla P. Murphy, Mayank Vashishtha, Parimaladevi Palanisamy, K. Vasanth Kumar
Summary: Adsorption is widely used in chemical engineering for fluid separation and purification. It is important to minimize the amount of adsorbent and contact time to reduce the cost. This study reviews the attempts made by researchers to minimize these parameters using theoretical adsorption kinetics and isotherms, and provides detailed explanations and calculations for optimizing the adsorbent mass and contact time.
Article
Chemistry, Multidisciplinary
Mayank Vashistha, Caoilfhionn Cliffe, Emma Murphy, Parimaladevi Palanisamy, Andy Stewart, Srinivas Gadipelli, Christopher A. A. Howard, Dan J. L. Brett, K. Vasanth Kumar
Summary: Crystallisation is an important process in pharmaceutical industries for purifying active pharmaceutical ingredients. The randomness and variation in this process make it difficult to regulate and predict the yield from batch to batch. In this study, a new technique called dotted crystallisation was proposed, where carbon dots were used to control nucleation and crystallisation processes. By adding small quantities of carbon dots to a supersaturated solution of curcumin, the nucleation rate of curcumin can be regulated and improved, leading to smaller crystals with a narrow size distribution compared to conventional cooling crystallisation.
Article
Chemistry, Multidisciplinary
K. Vasanth Kumar, Srinivas Gadipelli, Kiran A. Ramisetty, Claire Heffernan, Andrew A. Stewart, Vivek Ranade, Chris Howard, Dan Brett
Summary: During crystal growth in impure solution, impurities can hinder the growth process and slow down or even stop crystal growth. In this study, we discovered that curcumin crystals can grow in impure solution containing similar impurities, following a non-classical crystallisation pathway. We found that at high impurity concentrations, crystals can grow through sympathetic nucleation, where new growth surfaces form on seed crystals. These new surfaces act as active growth surfaces and play a crucial role in determining the crystal growth kinetics, especially at lower supersaturations. Additionally, creating artificial macrosteps on the crystal surface can not only accelerate the crystallisation rate but also control impurity transfer into the bulk crystals.
Article
Education, Scientific Disciplines
Shubhangi Kakkar, Witold Kwapinski, Christopher A. Howard, K. Vasanth Kumar
Summary: With the advancement of Industry 4.0, artificial intelligence and machine learning algorithms are becoming essential skills for chemical engineers. Training students in these methods is crucial for their adaptation to the digitized industries. The introduction of deep neural networks in a computer laboratory exercise provided students with essential knowledge of AI, awareness of machine language, and coding skills necessary to model and predict chemical engineering processes accurately.
EDUCATION FOR CHEMICAL ENGINEERS
(2021)
Article
Chemistry, Physical
K. Vasanth Kumar, Srinivas Gadipelli, Christopher A. Howard, Witold Kwapinski, Dan J. L. Brett
Summary: The binding affinity distribution plays a crucial role in molecular recognition in chromatographic separations and gas storage and separation applications. This study develops universal analytical models based on Toth isotherms to accurately characterize different classes of industrially-important adsorbents.
JOURNAL OF MATERIALS CHEMISTRY A
(2021)
Review
Chemistry, Physical
K. Vasanth Kumar, Srinivas Gadipelli, Barbara Wood, Kiran A. Ramisetty, Andrew A. Stewart, Christopher A. Howard, Dan J. L. Brett, F. Rodriguez-Reinoso
JOURNAL OF MATERIALS CHEMISTRY A
(2019)
Review
Chemistry, Multidisciplinary
K. Vasanth Kumar, Kathrin Preuss, Maria-Magdalena Titirici, Francisco Rodriguez-Reinoso