Article
Chemistry, Multidisciplinary
Artem K. Grebenko, Dmitry Krasnikov, Anton Bubis, Vasily S. Stolyarov, Denis V. Vyalikh, Anna A. Makarova, Alexander Fedorov, Aisuluu Aitkulova, Alena A. Alekseeva, Evgeniia Gilshtein, Zakhar Bedran, Alexander N. Shmakov, Liudmila Alyabyeva, Rais N. Mozhchil, Andrey M. Ionov, Boris P. Gorshunov, Kari Laasonen, Vitaly Podzorov, Albert G. Nasibulin
Summary: This article introduces a new method for the large-scale production of high-purity graphene using the Boudouard reaction and CO-driven catalyst engineering. This approach not only suppresses the growth of the second layer of graphene, but also provides a simple and reliable technique for surface cleaning.
Article
Chemistry, Multidisciplinary
Sandra Rodriguez-Villanueva, Frank Mendoza, Alvaro A. Instan, Ram S. Katiyar, Brad R. Weiner, Gerardo Morell
Summary: This study reports the direct synthesis of graphene on SiO2/Si using hot-filament chemical vapor deposition. The results show the growth of few-layers of graphene over the entire SiO2/Si substrate, far beyond the catalytic copper-strip.
Article
Engineering, Environmental
Fernando Lejarza, Elsa Koninckx, Linda J. Broadbelt, Michael Baldea
Summary: The use of kinetic models is crucial for the manufacturing of high value chemicals. This research introduces a nonlinear dynamic optimization framework for discovering governing reaction networks and learning model parameters from data. The proposed framework can produce accurate reduced-order microkinetic models that are computationally efficient. Numerical examples are provided to illustrate the key properties of the approach.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Ruijie Zhang, Yajing Sun, Fei Jiao, Lin Li, Dechao Geng, Wenping Hu
Summary: As a new paradigm of material science, two-dimensional (2D) heterostructured composites have attracted extensive interests because of combining the collective advantages and collaborative characteristics of individual building blocks. Molybdenum disulfide (MoS2) has demonstrated great promise as a low-cost substitute to platinum-based catalysts for electrochemical hydrogen production. However, the broad adoption of MoS2 is hindered by its limited number of active sites and low inherent electrical conductivity. One of the promising methods to further activate MoS2 is coupling engineering. Here, we demonstrate for the first time the synthesis of 2D MXene-MoS2 nanocomposites through chemical vapor deposition (CVD) approach, thus leading to precise design in structure type and orientation. The computational results show that nanocomposites have metallic properties. Owing to their unique 2D/2D structure, MXene-MoS2 nanocomposites exhibit more active catalytic sites, resulting in higher electrochemical performance, as inherited from parent excellent characteristics, and a much lower overpotential of similar to 69 mV at a current density of 10 mA center dot cm(-2) is achieved. This work paves the way to employ CVD method by coupling engineering to construct 2D nanocomposites for energy storage applications.
Article
Chemistry, Physical
Pierre Tomasini
Summary: The silicon chemical vapor deposition process via silane is determined using classical thermodynamics, showing that a linear function of temperature controls silicon growth rates and neatly maps the response of growth rate activation energy, providing clarity to the parameter space. The study demonstrates the portability of the linear function of temperature across reactors and extracts reactor scaling factors, reducing the complex silicon deposition process to its essentials through thermodynamics.
CHEMISTRY OF MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Mariam Hakami, Geetanjali Deokar, Jasmin Smajic, Nitin M. Batra, Pedro M. F. J. Costa
Summary: By studying two different types of thermal CVD reactors, a procedure for growing SLG on a cm(2)-scale was successfully developed after standardizing the copper foil surface.
CHEMISTRY-AN ASIAN JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Changhong Mou, Birgul Koc, Omer San, Leo G. Rebholz, Traian Iliescu
Summary: A new data-driven reduced order model (ROM) framework is proposed in this study, which is based on the hierarchical structure of the variational multiscale (VMS) methodology and utilizes data to enhance ROM accuracy. By separating scales, identifying closure terms, and modeling them with available data, the new framework shows significantly higher accuracy compared to standard ROMs.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Daba Deme Megersa, Gutema Teshome Gudena, Youngho Kim, Hak Ki Yu
Summary: A one-step synthesis of highly stable Ru/RuSe2 nanoparticles on carbon paper is achieved using low temperature and pressure chemical vapor deposition, resulting in a heterointerface with multiple active sites for catalysis. The catalyst exhibits outstanding performance for the hydrogen evolution reaction in an alkaline solution, with low overpotentials and fast hydrogen adsorption and desorption kinetics. The Ru/RuSe2/C nanoparticle structure has the potential for large-scale production and can be used as an efficient catalyst for HER.
ADVANCED SUSTAINABLE SYSTEMS
(2023)
Article
Materials Science, Multidisciplinary
Chaozhe Zhang, Hongbiao Li, Jianhua Yu, Jing Sui, Hongzhou Dong, Yingjie Chen, Qian Zhang, Liyan Yu, Lifeng Dong
Summary: This paper presents the in-situ growth of carbon nanotubes on CuO nanowires using chemical vapor deposition method, and investigates the growth mechanisms of CNTs and copper nanoparticles.
Article
Chemistry, Physical
Stephen Whitelam, Peter Harrowell
Summary: This study introduces a minimal model of anisotropic molecules that exhibit surface orientational order without bulk orientational order. By using evolutionary methods to design oscillatory protocols, the research demonstrates the potential for creating nonequilibrium structures with uniform order in this class of materials.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Materials Science, Multidisciplinary
Xinliang Yang, Zijian Zhang, Sifan He, Wenjie Wu, Xiangfeng Shu, Yijun Chen, Zhaokai Zhang, Kai Jiang, Jianlong Liu, Yenan Song
Summary: High-quality reduced graphene oxide (rGO) sheets can be obtained through Langmuir-Blodgett self-assembly (LBSA) process, showing excellent electrical properties. The graphene film prepared on copper exhibited nearly defect-free characteristics with high efficiency of defects restoration.
MATERIALS RESEARCH EXPRESS
(2021)
Article
Materials Science, Multidisciplinary
Sang-Hoon Kim, Seong Hyun Lee, Jeong-Woo Park, Tae Moon Roh, Dongwoo Suh
Summary: This study presents a simple SOI fabrication process for creating ultra-thin bodies in localized areas of silicon wafers, with highly crystalline state and excellent surface roughness achieved. The reconfigurable transistors successfully fabricated on this local SOI platform demonstrate the potential for contemporary silicon electronics to utilize SOI devices.
APPLIED MATERIALS TODAY
(2021)
Article
Materials Science, Multidisciplinary
Xiuli Gao, Runhan Xiao, Yanhui Zhang, Zhiying Chen, He Kang, Shuang Wang, Sunwen Zhao, Yanping Sui, Guanghui Yu, Wei Zhang
Summary: In this work, a series of experiments were conducted to investigate the etching effect of hydrogen and oxygen on graphene on Cu, along with their roles in graphene growth.
Article
Chemistry, Multidisciplinary
Jingjing Si, Jinqiu Yu, Haihu Lan, Lixin Niu, Jingrui Luo, Yantao Yu, Linyang Li, Yu Ding, Lei Fu, Mengqi Zeng
Summary: This study demonstrates a chemical potential-modulated strategy to precisely synthesize various ultrahigh-phase-purity ultrathin transition-metal boride single crystals. The ultrathin crystals exhibit exceptional mechanical properties, such as an ultrahigh Young's modulus. This research provides a platform for synthesizing ultrathin single crystals with ultrahigh phase purity and enables extensive research and applications.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Chemistry, Multidisciplinary
Mitisha Surana, Ganesh Ananthakrishnan, Matthew M. Poss, Jad Jean Yaacoub, Kaihao Zhang, Tusher Ahmed, Nikhil Chandra Admal, Pascal Pochet, Harley T. Johnson, Sameh Tawfick
Summary: The study investigates the impact of interfacial interaction between 2D materials and the substrate on the electronic properties, and quantitatively analyzes the orientation-dependent facet topographies observed on graphene using electron backscatter diffraction and atomic force microscopy. Molecular simulations reveal that apart from anisotropic interfacial energy, graphene strain plays a critical role in forming the observed topographies. These findings are also applicable to other 2D/3D heterostructures.
Review
Computer Science, Interdisciplinary Applications
N. Cheimarios, G. Kokkoris, A. G. Boudouvis
Summary: Chemical vapor deposition (CVD) is a well-established process for producing thin solid films for industrial and scientific applications for over 30 years. It is a multiscale process involving both cm to m scale reactors and micro-/nano- to atomic-scale deposited films. Various multiscale models and methodologies have been proposed over the years for the design, analysis, and optimization of the CVD process.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Review
Physics, Multidisciplinary
Nikolaos Cheimarios, Deifilia To, George Kokkoris, George Memos, Andreas G. Boudouvis
Summary: Monte Carlo and kinetic Monte Carlo models are widely used for studying physicochemical surface phenomena in deposition processes, offering a more detailed approach than popular molecular methods and addressing larger time and spatial scales. This review explores the modern applications of MC/kMC models in deposition processes.
FRONTIERS IN PHYSICS
(2021)
Article
Engineering, Environmental
Andreas G. Hadjigeorgiou, Andreas G. Boudouvis, George Kokkoris
Summary: A computational study on the mixing of biomolecules in the SHM reveals the importance of numerical accuracy and thorough analysis in improving mixing efficiency and reducing mixing length. Optimization of SHM design is proposed to increase efficiency and reduce length, with the effect of designs on chaotic advection demonstrated.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Jack S. Hale, Elisa Schenone, Davide Baroli, Lars A. A. Beex, Stephane P. A. Bordas
Summary: Reduced assembly (RA) is introduced as a new hyper-reduction strategy to drastically reduce the computational costs associated with assembling and projecting large linear systems onto a reduced order basis. RA achieves performance increases up to five times over baseline methods for solving non-linear reaction-diffusion and 3D hyperelasticity problems.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Mathematics, Applied
Octavio A. Gonzalez-Estrada, Sundararajan Natarajan, Juan Jose Rodenas, Stephane P. A. Bordas
Summary: This study presents a recovery-based error indicator for evaluating the quality of polygonal finite element approximations, which improves the quality of the recovered field by imposing equilibrium conditions and handling singular stress field. The performance of the error indicator is assessed on three problems with exact solution and compared with standard finite element meshes, showing good values for local and global effectivities within the recommended range.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2021)
Article
Construction & Building Technology
Peng Yu, Weijing Yun, Stephane Bordas, Sheng He, Yiming Zhou
Summary: Based on a large-scale parameter analysis and linear regression method, this study characterized the static stability of Kiewitt-sunflower-type single-layer reticulated spherical shell. It was found that increasing the rise-span and ring-numbers ratio can improve the ultimate stability bearing capacity, and different distribution patterns of geometry defects can affect the structural buckling.
INTERNATIONAL JOURNAL OF STEEL STRUCTURES
(2021)
Article
Multidisciplinary Sciences
Stephane Urcun, Pierre-Yves Rohan, Wafa Skalli, Pierre Nassoy, Stephane P. A. Bordas, Giuseppe Sciume
Summary: The study reveals that considering the triphasic nature of spheroids can provide a new perspective for analyzing pressure in Cellular Capsule Technology experiments. Experimentally retrieved pressure cannot directly reflect the pressure sustained by tumor cells and therefore cannot be used to quantify the critical pressure for stress-induced phenotype switch.
Article
Engineering, Mechanical
Patricio Peralta, O. Rafael Ruiz, Hussein Rappel, P. A. Stephane Bordas
Summary: This new framework utilizes dynamic estimators to infer the electromechanical properties in Piezoelectric Energy Harvesters (PEHs), overcoming the mismatch issue in updating properties associated with a set of PEHs. By modifying the likelihood function, the framework is able to account for a predictive model with three outputs obtained from the FRF.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Interdisciplinary Applications
M. Kavousanakis, N. Cheimarios, G. Kokkoris, A. G. Boudouvis
Summary: This study examines the effect of self-sustained periodic flows on the thickness non-uniformity of deposited films in a CVD reactor. The results show that the films produced under this condition are highly non-uniform and not suitable for practical applications.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Physics, Applied
Sotiris Mouchtouris, George Kokkoris, Andreas G. Boudouvis
Summary: A 2D plasma fluid model is used to study the operating modes and characteristics of He and He/O-2 discharges in a microplasma jet. The model accurately captures the behavior of He excitation and predicts the power-voltage characteristics of He/O-2 discharges. The study also formulates criteria for the transition between operating modes and investigates the sensitivity of PV characteristics to various factors.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2022)
Article
Engineering, Chemical
Paris Papavasileiou, Eleni D. Koronaki, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Andreas G. Boudouvis, T. J. Mountziaris, Stephane P. A. Bordas
Summary: An efficient CFD model is proposed to predict the thickness of deposited alumina in an industrial CVD reactor. The model considers the influence of reaction rate and diffusion on the process rate and reveals that reaction kinetics determine the overall deposition rate. The model is validated and capable of accurately predicting deposition thickness in various reactor configurations.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Article
Engineering, Multidisciplinary
Changkye Lee, Sundararajan Natarajan, Jack S. Hale, Zeike A. Taylor, Jurng-Jae Yee, Stephane P. A. Bordas
Summary: This work introduces a locking-free smoothed finite element method (S-FEM) for simulating soft matter, addressing issues of stiffness and mesh distortion sensitivity in standard finite element methods in the incompressible limit. The method extends concepts to three dimensions and utilizes a cubic bubble function for accuracy and stability, with additional displacement degrees of freedom for improved results. Numerical studies demonstrate the stability and effectiveness of the proposed approach compared to standard FEM and analytical solutions.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Nohan Joemon, Melpakkam Pradeep, Lokesh K. Rajulapati, Raghunathan Rengaswamy
Summary: This paper introduces a smoothing-based approach for discovering partial differential equations from noisy measurements. The method is data-driven and improves performance by incorporating first principles knowledge. The effectiveness of the algorithm is demonstrated in a real system using a new benchmark metric.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhibin Lu, Yimeng Li, Chang He, Jingzheng Ren, Haoshui Yu, Bingjian Zhang, Qinglin Chen
Summary: This study proposes a new inverse design method using a physics-informed neural network to identify optimal heat sink designs. A hybrid PINN accurately approximates the governing equations of heat transfer processes, and a surrogate model is constructed for integration with optimization algorithms. The proposed method accelerates the search for Pareto-optimal designs and reduces search time. Comparing different scenarios facilitates real-time observation of multiphysics field changes, improving understanding of optimal designs.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Luca Gasparini, Antonio Benedetti, Giulia Marchese, Connor Gallagher, Pierantonio Facco, Massimiliano Barolo
Summary: In this paper, a method for batch process monitoring with limited historical data is investigated. The methodology utilizes machine learning algorithms to generate virtual data and combines it with real data to build a process monitoring model. Automatic procedures are developed to optimize parameters, and indicators and metrics are proposed to assist virtual data generation activities.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Julia Jimenez-Romero, Adisa Azapagic, Robin Smith
Summary: Energy transition is a significant and complex challenge for the industry, and developing cost-effective solutions for synthesizing utility systems is crucial. The research combines mathematical formulation with realistic configurations and conditions to represent utility systems and provides a basis for synthesizing energy-efficient utility systems for the future.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Samuel Adeyemo, Debangsu Bhattacharyya
Summary: This work develops algorithms for estimating sparse interpretable data-driven models. The algorithms select the optimal basis functions and estimate the model parameters using Bayesian inferencing. The algorithms estimate the noise characteristics and model parameters simultaneously. The algorithms also exploit prior analysis and special properties for efficient pruning, and use a modified Akaike information criterion for model selection.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Abbasali Jafari-Nodoushan, Mohammad Hossein Dehghani Sadrabadi, Maryam Nili, Ahmad Makui, Rouzbeh Ghousi
Summary: This study presents a three-objective model to design a forward supply chain network considering interrelated operational and disruptive risks. Several strategies are implemented to cope with these risks, and a joint pricing strategy is used to enhance the profitability of the supply chain. The results show that managing risks and uncertainties simultaneously can improve sustainability goals and reduce associated costs.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
T. A. Espaas, V. S. Vassiliadis
Summary: This paper extends the concept of higher-order search directions in interior point methods to convex nonlinear programming. It provides the mathematical framework for computing higher-order derivatives and highlights simplified computation for special cases. The paper also introduces a dimensional lifting procedure for transforming general nonlinear problems into more efficient forms and describes the algorithmic development required to employ these higher-order search directions.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
David A. Linan, Gabriel Contreras-Zarazua, Eduardo Sanhez-Ramirez, Juan Gabriel Segovia-Hernandez, Luis A. Ricardez-Sandoval
Summary: This study proposes a parallel hybrid algorithm for optimal design of process flowsheets, which combines stochastic method with deterministic algorithm to achieve faster and improved convergence.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Xiaoyong Lin, Zihui Li, Yongming Han, Zhiwei Chen, Zhiqiang Geng
Summary: A novel GAT-LSTM model is proposed for the production prediction and energy structure optimization of propylene production processes. It outperforms other models and can provide the optimal raw material scheme for actual production processes.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Prodromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangoz, Ali Mesbah, Fani Boukouvala, Fernando Lima, Antonio del Rio Chanona, Christos Georgakis
Summary: This paper provides a concise perspective on the potential of machine learning in the PSE domain, based on discussions and talks during the FIPSE 5 conference. It highlights the need for domain-specific techniques in molecular/material design, data analytics, optimization, and control.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hesam Hassanpour, Prashant Mhaskar, Brandon Corbett
Summary: This work addresses the problem of designing an offset-free implementable reinforcement learning (RL) controller for nonlinear processes. A pre-training strategy is proposed to provide a secure platform for online implementations of the RL controller. The efficacy of the proposed approach is demonstrated through simulations on a chemical reactor example.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hunggi Lee, Donghyeon Lee, Jaewook Lee, Dongil Shin
Summary: This study introduces an innovative framework that utilizes a limited number of sensors to detect chemical leaks early, mitigating the risk of major industrial disasters, and providing faster and higher-resolution results.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Sibel Uygun Batgi, Ibrahim Dincer
Summary: This study examines the environmental impacts of three alternative hydrogen-generating processes and determines the best environmentally friendly option for hydrogen production by comparing different impact categories. The results show that the solar-based HyS cycle options perform the best in terms of global warming potential, abiotic depletion, acidification potential, ozone layer depletion, and human toxicity potential.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
LaGrande Gunnell, Bethany Nicholson, John D. Hedengren
Summary: A review of current trends in scientific computing shows a shift towards open-source and higher-level programming languages like Python, with increasing career opportunities in the next decade. Open-source modeling tools contribute to innovation in equation-based and data-driven applications, and the integration of data-driven and principles-based tools is emerging. New compute hardware, productivity software, and training resources have the potential to significantly accelerate progress, but long-term support mechanisms are still necessary.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Daniel Cristiu, Federico d'Amore, Fabrizio Bezzo
Summary: This study presents a multi-objective mixed integer linear programming framework to optimize the supply chain for mixed plastic waste in Northern Italy. Results offer quantitative insights into economic and environmental performance, balancing trade-offs between maximizing gross profit and minimizing greenhouse gas emissions.
COMPUTERS & CHEMICAL ENGINEERING
(2024)