Article
Automation & Control Systems
Jingxin Zhang, Donghua Zhou, Maoyin Chen
Summary: This article proposes a novel sparse principal component analysis algorithm with self-learning ability for multimode process monitoring. The proposed method learns the successive modes in a sequential fashion and remembers the learned knowledge by selectively slowing down the changes of important parameters for the previous modes. The algorithm has excellent interpretability and alleviates the catastrophic forgetting problem.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Xiangyin Kong, Zhiqiang Ge
Summary: This article proposes a novel monitoring framework for latent variable models using hierarchical feature extraction, Bayesian inference, and weighting strategy. The framework includes a deep PCA-ICA model for hierarchical feature extraction, Bayesian inference for transforming the features to posterior probabilities, and a weighting strategy for combining the probabilities into new probabilistic statistics. The proposed model is validated using the Tennessee Eastman process and the effectiveness of the deep hierarchical feature extraction structure is further analyzed.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Chemistry, Physical
Amit Singh Bundela, M. R. Rahul
Summary: This study predicts the microhardness of high entropy alloys using a machine learning framework and demonstrates improved prediction accuracy through feature selection algorithms and dimensionality reduction techniques. Experimental data confirms the applicability of trained algorithms for property prediction.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Physics, Applied
T. Ozawa, T. Imajo, T. Suemasu, K. Toko
Summary: A high potential for polycrystalline Ge as a thin-film thermoelectric material has been demonstrated, with carrier concentration controlled through solid-phase diffusion of various dopants. Improved crystal quality and doping properties were achieved through advanced solid-phase crystallization and heating deposition techniques. The achieved power factors surpass those of most polycrystalline semiconductor thin films formed at lower temperatures, marking a milestone towards high-performance thin-film thermoelectric generators based on environmentally friendly semiconductors.
APPLIED PHYSICS LETTERS
(2021)
Review
Chemistry, Multidisciplinary
Tuan Kien Nguyen, Sadegh Aberoumand, Dzung Viet Dao
Summary: This review discusses the latest advances and advantages of silicon-based and silicon carbide-based supercapacitors in the field of energy storage, as well as future research directions.
Article
Automation & Control Systems
Guang Wang, Jinghui Yang, Yucheng Qian, Jingsong Han, Jianfang Jiao
Summary: In this article, a kernel principal component analysis (KPCA)-based canonical correlation analysis (CCA) model is proposed for nonlinear process monitoring in quality-related fault detection and diagnosis (QrFDD). The KPCA is used to eliminate nonlinear coupling among the variables by extracting kernel principal components (KPCs) of original variables data. The KPCs and output are then used for CCA modeling, establishing a linear regression model between process and quality variables based on the proportional relationship between process variables sample and kernel sample under the Gaussian kernel. This nonlinear QrFDD method outperforms existing kernel-based CCA methods in terms of algorithmic complexity and interpretability, as demonstrated by simulation results.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Materials Science, Coatings & Films
Benjamin W. Lamm, Jake W. McMurray, Ercan Cakmak, Michael J. Lance, David J. Mitchell
Summary: In this study, the CALPHAD approach was used to investigate zirconium carbide deposition. Phase equilibria were calculated and used to explore the chemical vapor deposition (CVD) processing space in the ZrCl4-CH3SiCl3-CH4-H-2 system. The results showed that the most important factor in controlling the composition was the ratios of CH4:ZrCl4, which determined the nature of the composition - either carbide or silicide.
SURFACE & COATINGS TECHNOLOGY
(2022)
Article
Automation & Control Systems
Jicong Fan, Tommy W. S. Chow, S. Joe Qin
Summary: In this article, a nonlinear method is proposed to handle the missing data problem in industrial processes. The proposed method, called fast incremental nonlinear matrix completion (FINLMC), allows for missing data imputation in both offline modeling and online monitoring stages. The effectiveness of the method is supported by theoretical analysis and experiments, which demonstrate its ability to improve fault detection rate and reduce false alarms in nonlinear processing monitoring with missing data.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Biochemistry & Molecular Biology
Guilherme A. M. de Jesus, Sharise B. R. Berton, Bruno M. Simo, Rafael S. Zola, Johny P. Monteiro, Alessandro F. Martins, Elton G. Bonaf
Summary: This study proposes a method for preparing functional films using commercial kappa-carrageenan, poly(vinyl alcohol), and gallic acid. The films exhibit suitable mechanical properties and antimicrobial action, making them potential candidates for food coatings.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Materials Science, Ceramics
Rohit Malik, Young-Wook Kim, Woo H. Nam
Summary: Porous SiC ceramics with a core-shell structure were fabricated by sintering nano-SiC powder-carbon black compacts in air. During sintering, oxidation of SiC particles led to the formation of a SiO2 shell, while low-temperature phase transformation and precipitation of non-graphitic carbons were also observed.
JOURNAL OF THE AMERICAN CERAMIC SOCIETY
(2021)
Article
Chemistry, Analytical
Maria Cristina Caggiani, Roberta Occhipinti, Claudio Finocchiaro, Maura Fugazzotto, Antonio Stroscio, Paolo Mazzoleni, Germana Barone
Summary: This study evaluated the potential of Diffuse Reflectance Infrared Fourier Transform Spectroscopy (DRIFTS) in the study of geopolymers, and used Principal Components Analysis (PCA) to find criteria for discriminating successful products from those that require formulation correction.
Article
Materials Science, Ceramics
Yanghee Kim, Ji Yeong Lee, Min Kyung Cho, Jae-Pyoung Ahn, Young-Wook Kim
Summary: The electrical properties of polycrystalline ceramics are primarily influenced by the presence of grain boundaries or cores, with the electrical resistivity slowly increasing with an increase in the number of boundaries.
CERAMICS INTERNATIONAL
(2021)
Article
Materials Science, Ceramics
D. Demirskyi, O. Vasylkiv, K. Yoshimi
Summary: This study reports the three-point flexural strength and fracture toughness of monolithic hafnium carbide up to 2000 degrees C. It was found that the dependence of strength on strain rate varied for HfC with different grain sizes at high temperatures. The activation energy for high-temperature deformation was identified as 370 kJ/mol, which was in agreement with diffusion reports of C in hafnium carbide.
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
(2021)
Article
Materials Science, Characterization & Testing
Nitin Nagesh Kulkarni, Shweta Dabetwar, Jason Benoit, Tzuyang Yu, Alessandro Sabato
Summary: This study improves the accuracy of infrared thermography (IRT) in detecting voids underneath roadways by comparing and validating three advanced image-processing techniques. Among them, sparse principal component thermography (S-PCT) allows determining the physical size of voids with an accuracy above 95%. This research provides a foundation for advancing the use of IRT as a more accurate and cost-effective method for road condition monitoring.
NDT & E INTERNATIONAL
(2022)
Article
Chemistry, Physical
Akimitsu Ishii, Shinjiro Kikuchi, Akinori Yamanaka, Akiyasu Yamamoto
Summary: This study applied Bayesian optimization to improve the synthesis process of superconducting materials, specifically the phase purity of BaFe2(As,P)2 polycrystalline bulks. By optimizing the heat-treatment temperature, the phase purity was increased to 91.3% from 13 experiments out of 800 candidates. Visualization of the Bayesian optimization process showed that it allowed for a balanced global search and local optimization, providing a rough correlation between superconducting properties and experimental conditions and finding finely optimal conditions over a wide range. These results demonstrate the promising potential of Bayesian optimization in optimizing the synthesis process of superconducting materials.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Chemistry, Physical
Peter Schindler, Daniel C. Riley, Igor Bargatin, Kunal Sahasrahuddhe, Jared W. Schwede, Steven Sun, Piero Pianetta, Zhi-Xun Shen, Roger T. Howe, Nicholas A. Melosh
ACS ENERGY LETTERS
(2019)
Article
Nanoscience & Nanotechnology
Samuel M. Nicaise, Chen Lin, Mohsen Azadi, Tara Bozorg-Grayeli, Promise Adebayo-Ige, Drew E. Lilley, Yann Pfitzer, Wujoon Cha, Kyana Van Houten, Nicholas A. Melosh, Roger T. Howe, Jared W. Schwede, Igor Bargatin
MICROSYSTEMS & NANOENGINEERING
(2019)
Article
Electrochemistry
Charmaine Chia, Stefanie S. Jeffrey, Roger T. Howe
ELECTROCHEMISTRY COMMUNICATIONS
(2019)
Article
Chemistry, Analytical
Qizhen Zhu, Shiyu Hu, Linqun Zhang, Ying Li, Carlo Carraro, Roya Maboudian, Wei Wei, Anran Liu, Yuanjian Zhang, Songqin Liu
SENSORS AND ACTUATORS B-CHEMICAL
(2020)
Article
Multidisciplinary Sciences
Arif Mustafazade, Milind Pandit, Chun Zhao, Guillermo Sobreviela, Zhijun Du, Philipp Steinmann, Xudong Zou, Roger T. Howe, Ashwin A. Seshia
SCIENTIFIC REPORTS
(2020)
Article
Chemistry, Physical
Chuan-Pei Lee, Bayu-Tri Murti, Po-Kang Yang, Francesca Rossi, Carlo Carraro, Roya Maboudian
Summary: A cobalt oxide-decorated silicon carbide nano-tree array electrode was synthesized for micro-supercapacitor applications, showing extremely hydrophilic surface characteristics for enhanced charge transfer at the electrode/aqueous electrolyte interface. The well-standing architecture provided a directional charge transport route along the length of SiC nanowires, leading to excellent areal capacitance and stability in cyclic voltammetry measurements for 2000 cycles at a high scan rate of 150 mV s(-1).
Article
Chemistry, Analytical
Peter E. Beshay, Ali M. Ibrahim, Stefanie S. Jeffrey, Roger T. Howe, Yasser H. Anis
Summary: This paper investigates the dynamics of single cells encapsulated in water-in-oil emulsions in a microchannel, proposing new label-free methods for rare cell detection based on biomechanical properties. The study found that the sheath flow rate has a significant effect on cell dynamics, doubling the cell orbiting speed and potentially doubling the extracted biomechanical information.
Article
Chemistry, Analytical
Ali M. Ibrahim, Jose I. Padovani, Roger T. Howe, Yasser H. Anis
Summary: This paper examines the parameters affecting droplet generation in a microfluidic system, develops a three-dimensional numerical model for simulation, and investigates the impact of different flow rates on droplet size.
Article
Nanoscience & Nanotechnology
Maha Yusuf, George K. Herring, Lars Thorben Neustock, Mohammad Asif Zaman, Usha Raghuram, Vijay K. Narasimhan, Charmaine Chia, Roger T. Howe
Summary: High-contrast alignment marks are essential for precise alignment in X-ray imaging systems. The use of nanostructured black silicon (n-BSi) and optimized deep reactive-ion etching (DRIE) process allows for the fabrication of absorptive areas with low reflectance and high contrast ratio. Systematic variation of polymer deposition time T leads to various nanostructures, ultimately improving the efficiency and precision of alignment marks.
ACS APPLIED NANO MATERIALS
(2021)
Article
Computer Science, Information Systems
Charmaine Chia, Matteo Sesia, Chi-Sing Ho, Stefanie S. Jeffrey, Jennifer Dionne, Emmanuel J. Candes, Roger T. Howe
Summary: Deep neural networks and other machine learning models are widely used for biomedical signal data analysis due to their ability to detect complex patterns and make accurate predictions. However, interpreting these models can be challenging. This paper proposes a logistic regression model with carefully selected features for fast Raman spectroscopy data, achieving comparable accuracy to neural networks while being simpler and more transparent. The analysis involves wavelet features with intuitive chemical interpretations and controlled variable selection using knockoffs. This approach is applicable to other types of signal data where interpretability is important.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Mary Tang, Swaroop Kommera, Usha Raghuram, Michelle Rincon, Xiaoqing Xu, Jonathan Fan, Roger T. Howe
Summary: This is a graduate-level laboratory course structured as a master class in project planning and execution. Students work in teams on project topics of their choosing, ideally relevant to their own research areas, utilizing shared facilities. The aim is to develop students' conceptual knowledge of experimental science through project planning and execution, effective communication and teamwork, technical rigor, and peer review.
JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY
(2023)
Article
Materials Science, Multidisciplinary
David W. Gardner, Jiaqi Li, Martin Kunz, Wei-Chih Liao, Chenhui Zhu, Carlo Carraro, Paulo J. M. Monteiro, Roya Maboudian
Summary: This article investigates the intergrain and intragrain interactions of calciumsilicate-hydrates (C-S-H), nanocrystalline forms of tobermorites, which control the long-term stress response of concrete. Through experiments, it is found that layer stacking disorder significantly increases in 11 angstrom tobermorite powder. Similar results are observed in nanocrystalline C-S-H powders, where layer stacking disorder (in the form of intragrain deformation) increases with low water content and large basal spacing.
Article
Chemistry, Physical
Zhou Li, Chen Liu, Jessica Jane Frick, Adrian K. Davey, Matthew N. Dods, Carlo Carraro, Debbie G. Senesky, Roya Maboudian
Summary: This work presents the synthesis, characterization, and absorption capacity of graphene aerogel loaded with UiO-66-NH2 metal organic framework (MOF). The density-tunable MOF/GA composites were synthesized by adjusting the mass ratio of MOF to graphene oxide (GO) in the starting solution. Scanning electron microscopy (SEM) images and pore size calculations showed that MOF loading affected the macroporous structure of the GA framework but not the mesoporous structure. The MOF loading exhibited minimum density for the 10-30% samples. MOF-30%/GA demonstrated the highest absorption capacity for chloroform among all solvents tested.
Article
Chemistry, Physical
Bowen Zheng, Chen Liu, Zhou Li, Carlo Carraro, Roya Maboudian, Debbie G. Senesky, Grace X. X. Gu
Summary: Graphene aerogel (GA), a 3D carbon-based nanostructure built on 2D graphene sheets, is the lightest solid material ever synthesized. This study systematically investigates the mechanical properties and structural integrity of GA, revealing that smaller and less spherical inclusions during the preparation process are conducive to strength and stiffness but may lead to brittleness. The study also highlights the requirement of a minimum number of bonds per atom for a structurally valid GA in molecular dynamics simulations.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Nanoscience & Nanotechnology
Jose Padovani, Ali M. Ibrahim, Stefanie S. Jeffrey, Yasser H. Anis, Roger T. Howe
MICROFLUIDICS AND NANOFLUIDICS
(2020)