Article
Chemistry, Physical
Junyan Li, Ming Lu, Weijia Zheng, Wei Zhang
Summary: MXenes are two-dimensional materials with unique structures and properties, which have attracted significant scientific interest. Ion intercalation, as an important mechanism, plays a crucial role in regulating the electronic and chemical properties of MXene materials. This review provides an overview of the interaction events between ions and MXenes, including advanced characterization techniques, influencing factors, mechanisms, and functionalization roles of ion intercalation.
ENERGY STORAGE MATERIALS
(2024)
Article
Computer Science, Information Systems
Xudong Zhang, Lei Wang
Summary: This paper focuses on robust sparse M-estimation over decentralized networks in the presence of Byzantine attacks. It proposes algorithms that are provably robust against Byzantine attacks and achieve linear convergence rates by combining robust aggregation rules, gradient tracking, and proximal algorithm.
INFORMATION SCIENCES
(2024)
Article
Automation & Control Systems
Shayok Mukhopadhyay, Fumin Zhang
Summary: This paper investigates the algorithm for computing the robust forward invariant sets of nonlinear systems, proposing a new approach for approximation calculation. The algorithm plans a path that iteratively converges to the boundary of RFIS and rigorous mathematical analysis confirms its effectiveness.
ASIAN JOURNAL OF CONTROL
(2021)
Article
Chemistry, Physical
Jinyong Kim, Anudeep Mallarapu, Shriram Santhanagopalan, John Newman
Summary: This study discusses the numerical instabilities that may occur when solving solid-phase diffusion equations in lithium-ion batteries and proposes a simple numerical treatment to resolve these issues. The proposed method is implemented in a pseudo two-dimensional physics-based battery model and simulations show its numerical robustness and comparable computational speeds to conventional methods.
JOURNAL OF POWER SOURCES
(2023)
Article
Chemistry, Multidisciplinary
Yanting Zhang, Lei Ran, Yanxue Zhang, Panlong Zhai, Yunzhen Wu, Junfeng Gao, Zhuwei Li, Bo Zhang, Chen Wang, Zhaozhong Fan, Xiaomeng Zhang, Jiaqi Cao, Dingfeng Jin, Licheng Sun, Jungang Hou
Summary: This study reports the efficient nitrogen photofixation using two-dimensional boron-doped niobic acid nanosheets with oxygen vacancies, achieving enhanced ammonia evolution rates under visible-light irradiation in pure water. The synergy of boron dopant and oxygen vacancy plays a crucial role in regulating the band structure of niobic acid, facilitating charge transfer, reducing energy barriers, and promoting high rates of ammonia evolution, providing a general strategy for designing active photocatalysts for solar nitrogen conversion.
Article
Optics
Junkang Zhang, Qingguang Li
Summary: In this paper, a quantitative indicator for measuring the amount of prior information in the wrapped phase map is proposed, followed by the introduction of an Edge-Enhanced Self-Attention Network for two-dimensional phase unwrapping. The network incorporates improved modules such as Atrous Spatial Pyramid Pooling, Positional Self-Attention, and Edge-Enhanced Block to enhance the performance of phase unwrapping. Experimental results demonstrate that the proposed method outperforms the state-of-the-art in terms of precision, robustness, and generalization.
Article
Computer Science, Artificial Intelligence
Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
Summary: This paper proposes a new method called RLPGA for unsupervised domain adaptation. RLPGA improves the robustness of label noise by learning a robust classifier and constructing adjacency weight matrices. Empirical studies demonstrate the effectiveness of RLPGA.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Automation & Control Systems
Bin Zhu, Jiahao Liu
Summary: This paper presents a fast algorithm to solve the spectral estimation problem for two-dimensional random fields and validates the performance of the algorithm through numerical simulations.
IET CONTROL THEORY AND APPLICATIONS
(2022)
Article
Materials Science, Multidisciplinary
Weizhen Meng, Ying Liu, Wei-Wang Yu, Xiaoming Zhang, Guodong Liu
Summary: The research discovered 27 nonmagnetic layer groups containing spin-orbit Dirac points, and identified 65 actual materials from a large 2D inorganic crystal database. Symmetry analysis classified Dirac points into two categories, with the highest order of Dirac points being linear.
MATERIALS TODAY PHYSICS
(2022)
Article
Chemistry, Multidisciplinary
Xuemeng Jing, Fangyu Fu, Ruijie Wang, Xing Xin, Lin Qin, Hongjin Lv, Guo-Yu Yang
Summary: In this work, a pair of atomically precise enantiomers of silver clusters were synthesized, and their chirality was attributed to the asymmetric arrangement of surface ligands. These clusters could form two-dimensional assemblies, exhibiting excellent thermal stability and photocatalytic activity, providing possibilities for exploring catalysts based on fixed coinage clusters with attractive properties.
Article
Computer Science, Artificial Intelligence
Zeqiang Zhang, Juhua Gong, Junqi Liu, Feng Chen
Summary: The study focuses on the optimisation of row layout problem when the material flow between facilities fluctuates, and proposes a meta-heuristic algorithm combining tabu search and harmony search to improve solution efficiency. The new model simplifies the two-stage solution method, making it possible to solve large-scale problems efficiently.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Chemistry, Physical
Y. Ozguven, H. E. Guler, A. A. Billur, A. Mogulkoc, M. Modarresi
Summary: In this study, the electronic and finite temperature magnetic properties of germanium carbide (GeC) and ferromagnetic chromium nitride (CrN) heterobilayers are investigated using first-principles calculations. The stacking formations of the heterobilayers are ensured to be dynamically stable by considering the phonon spectra. All stacking patterns exhibit half-metallicity with an out-of-plane easy-axis ferromagnetic ground state. The GeC/CrN heterobilayers show a high Curie temperature within the random phase approximation (RPA). Additionally, the electronic properties of non-symmetric stackings at three different twist angles are analyzed. The results suggest that the half-metallicity of the GeC/CrN heterobilayer is independent of the stackings.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Engineering, Electrical & Electronic
Zhihui Lai, Zhuozhen Yu, Heng Kong, Linlin Shen
Summary: The paper introduces an improved method for image-based feature extraction called Two-dimensional jointly sparse RDR (2DJSRDR), which utilizes the two-dimensional image matrix directly as the computational unit to avoid drawbacks and improve model performance in previous methods.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2021)
Article
Engineering, Electrical & Electronic
Debasis Kundu, Rhythm Grover
Summary: This paper investigates the use of weighted least squares estimators (WLSEs) in the presence of additive noise or outliers based on a two-dimensional sinusoidal model. The properties of the WLSEs, including consistency and asymptotic normality, are derived and compared to other robust estimators such as the least absolute deviation estimators (LADEs). Extensive simulations are performed to demonstrate the effectiveness of the proposed method, and a practical application is illustrated using a synthetic dataset.
Article
Engineering, Electrical & Electronic
Xiangfei Yang, Mengyi Zheng, Liming Liu
Summary: Two-dimensional linear discriminant analysis (2DLDA) is an effective supervised feature extraction technique. However, it performs poorly when dealing with noisy and outlier data. To overcome this, we propose a novel method called 2DLDA-Tl-1 by combining Tl-1 norm with 2DLDA.
IEEE SIGNAL PROCESSING LETTERS
(2023)
Article
Environmental Sciences
Anusha L. Dissanayake, Jonas Gros, Scott A. Socolofsky
ENVIRONMENTAL FLUID MECHANICS
(2018)
Article
Engineering, Environmental
Christoph Aeppli, Robert F. Swarthout, Gregory W. O'Neil, Samuel D. Katz, Deedar Nabi, Collin P. Ward, Robert K. Nelson, Charles M. Sharpless, Christopher M. Reddy
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2018)
Article
Chemistry, Physical
Daniela Trogolo, J. Samuel Arey, Peter R. Tentscher
JOURNAL OF PHYSICAL CHEMISTRY A
(2019)
Article
Environmental Sciences
Yasuyuki Zushi, Yuki Yamatori, Jun Nagata, Deedar Nabi
SCIENCE OF THE TOTAL ENVIRONMENT
(2019)
Article
Engineering, Environmental
Jonas Gros, Mark Schmidt, Andrew W. Dale, Peter Linke, Lisa Vielstadte, Nikolaus Bigalke, Matthias Haeckel, Klaus Wallmann, Stefan Sommer
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2019)
Article
Chemistry, Multidisciplinary
Yasuyuki Zushi, Nobuyasu Hanari, Deedar Nabi, Bin-Le Lin
Article
Engineering, Environmental
Jonas Gros, J. Samuel Arey, Scott A. Socolofsky, Anusha L. Dissanayake
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2020)
Article
Green & Sustainable Science & Technology
A. W. Dale, S. Sommer, A. Lichtschlag, D. Koopmans, M. Haeckel, E. Kossel, C. Deusner, P. Linke, J. Scholten, K. Wallmann, M. R. van Erk, J. Gros, F. Scholz, M. Schmidt
Summary: A study investigated the biogeochemistry of sediments in the North Sea during a controlled subsurface CO2 release experiment at a potential carbon capture and storage site (Goldeneye). Results suggest that organic carbon at Goldeneye has a state of oxidation below zero and is primarily degraded through sulfate reduction processes.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2021)
Article
Green & Sustainable Science & Technology
Anita Flohr, Allison Schaap, Eric P. Achterberg, Guttorm Alendal, Martin Arundell, Christian Berndt, Jerry Blackford, Christoph Boettner, Sergey M. Borisov, Robin Brown, Jonathan M. Bull, Liam Carter, Baixin Chen, Andrew W. Dale, Dirk de Beer, Marcella Dean, Christian Deusner, Marius Dewar, Jennifer M. Durden, Saskia Elsen, Mario Esposito, Michael Faggetter, Jan P. Fischer, Amine Gana, Jonas Gros, Matthias Haeckel, Rudolf Hanz, Moritz Holtappels, Brett Hosking, Veerle A. I. Huvenne, Rachael H. James, Dirk Koopmans, Elke Kossel, Timothy G. Leighton, Jianghui Li, Anna Lichtschlag, Peter Linke, Socratis Loucaides, Maria Martinez-Cabanas, Juerg M. Matter, Thomas Mesher, Samuel Monk, Matthew Mowlem, Anna Oleynik, Stathys Papadimitriou, David Paxton, Christopher R. Pearce, Kate Peel, Ben Roche, Henry A. Ruhl, Umer Saleem, Carla Sands, Kevin Saw, Mark Schmidt, Stefan Sommer, James A. Strong, Jack Triest, Birgit Ungerboeck, John Walk, Paul White, Steve Widdicombe, Robert Euan Wilson, Hannah Wright, James Wyatt, Douglas Connelly
Summary: Carbon capture and storage (CCS) is a key technology for reducing CO2 emissions in industrial processes, and robust strategies for CO2 leakage detection, quantification, and management are crucial for safe geological CO2 storage. The STEMM-CCS project conducted a controlled CO2 release experiment in the North Sea to mimic unintended CO2 emissions from subsurface storage sites. Various techniques were used to detect, characterize, and quantify gaseous and dissolved CO2 in sediments and seawater.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2021)
Article
Chemistry, Multidisciplinary
Muhammad Irfan Khawar, Deedar Nabi
Summary: Over the past 30 years, low-density polyethylene (PE) has been widely used as passive sampling devices to detect organic chemicals in various environmental compartments. This study developed and evaluated linear free energy relationships (LFERs) to predict the partition coefficient between PE and water. The findings suggest that the calibration dataset used to train the poly-parameter LFERs fulfills the requirements for obtaining a robust model for predicting log Kpe-w. Furthermore, the computational method based on the conductor-like screening model for real solvents theory performed well in estimating log Kpe-w for chemicals that were moderately hydrophobic or hydrophilic.
Article
Chemistry, Multidisciplinary
Sana Naseem, Yasuyuki Zushi, Deedar Nabi
Summary: This study presents two models to estimate the skin permeability coefficients of neutral organic chemicals, with the 2-parameter partitioning model showing better performance in explaining the variability in skin permeability data compared to existing models.
JOURNAL OF CHEMINFORMATICS
(2021)
Article
Green & Sustainable Science & Technology
Jonas Gros, Mark Schmidt, Peter Linke, Saskia Dotsch, Jack Triest, Maria Martinez-Cabanas, Mario Esposito, Andrew W. Dale, Stefan Sommer, Anita Flohr, Joseph Fone, Jonathan M. Bull, Ben Roche, James A. Strong, Kevin Saw, Robin Brown, Dirk Koopmans, Klaus Wallmann
Summary: Scaling up CO2 capture and storage is essential to limit global warming to below 2 degrees Celsius, with a focus on detecting and quantifying potential leaks in offshore environments. Combining field measurements and numerical models can accurately monitor CO2 leakage and retention in marine settings.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2021)
Article
Green & Sustainable Science & Technology
Maria Martinez-Cabanas, Mario Esposito, Jonas Gros, Peter Linke, Mark Schmidt, Jack Triest, Eric P. Achterberg
Summary: A controlled CO2 release experiment was conducted in the Goldeneye complex area, a depleted gas field located in the UK sector of the North Sea, to evaluate the viability of water column monitoring for detecting injected CO2 and assess the spatial extent of the release. The dispersion of the CO2 plume was strongly influenced by tidal circulation in the area, with the strongest signals detected within 8m of the bubble stream during low tide.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2021)
Article
Multidisciplinary Sciences
Muhammad Irfan Khawar, Azhar Mahmood, Deedar Nabi
Summary: Partition models based on linear combinations of octanol-water partition coefficient and dimensionless Henry's law constant are proposed and successfully described the variations in storage lipid-water and phospholipid-water partition coefficients. The models exhibit good performance when compared to experimental values and are suitable for inclusion in the EPI Suite.
SCIENTIFIC REPORTS
(2022)
Article
Environmental Sciences
Ahmad Aakash, Deedar Nabi
Summary: This study recalibrates the Abraham solvation models (ASMs) and introduces partition models (PMs) to accurately assess the sensory irritation threshold (SIT) of organic air pollutants. Additionally, GC x GC models are used to predict the SIT of nonpolar analytes in complex mixtures. PMs provide a more convenient screening tool for SIT compared to ASMs, and the GC x GC models offer estimation for nonpolar mixtures.