Article
Automation & Control Systems
Riccardo Fantinel, Angelo Cenedese, Giampaolo Fadel
Summary: Visual inspection is increasingly important in the manufacturing industry, especially when it comes to reflective objects. Utilizing the dynamics of reflected light is crucial for improving the performance of learning algorithms. The proposed model-based and data-driven approach aims to accurately detect defects on reflective surfaces of industrial products.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Mechanical
Karen Mohammadtabar, Stefan J. Eder, Nicole Doerr, Ashlie Martini
Summary: Reactive molecular dynamics simulations were used to investigate reactions between di-tert-butyl disulfide and ferrous surfaces. The presence of a model base oil did not significantly affect the reaction yield or pathway. Replacing ideal Fe(100) with H-passivated Fe2O3 surfaces enabled reaction pathways involving oxygen from the surface and decreased the reaction yield. Analyzing the rate-limiting step of the reactions contributes to a better understanding of tribochemical reactions.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Chemistry, Multidisciplinary
Ruirui Gu, Jean-Marie Lehn
Summary: The research designed a triple dynamic complex system involving dynamic covalent processes and supramolecular self-assembly steps. The study demonstrated selective self-organization-driven amplification of constituents in DCLs, showing remarkable self-organization-driven constitutional adaptation. The results indicate dynamic adaptation through component selection.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2021)
Review
Chemistry, Multidisciplinary
Anirban Mondal, Ryojun Toyoda, Romain Costil, Ben L. Feringa
Summary: This article summarizes the design, synthesis, and dynamic properties of molecular machines, and presents methods for controlled switching or rotation of different classes of atropisomers under chemical stimulus, categorizing them as molecular switches, rotors, motors, and autonomous motors. Future perspectives and challenges for building sophisticated molecular machines are also provided.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Article
Engineering, Biomedical
Yifeng Ni, Dong Zhang, Shuguang Wang, Jingfeng Yuan, Lingbin Che, Dongyong Sha, Md Fauzul Kabir, Si Yu Zheng, Jun Tan, Jintao Yang
Summary: Bacteria in the external environment invading wounds and colonizing wound surfaces can hinder wound healing and pose a threat to human health. The development of intelligent antibacterial surfaces has significant social and economic importance. This study presents a simple method of creating switchable antibacterial surfaces through ionic interaction-driven activation, with applications in cotton fabrics that promote wound healing and tissue repair.
ACTA BIOMATERIALIA
(2022)
Review
Chemistry, Multidisciplinary
Feng Wang, Yizhi Zhuo, Zhiwei He, Senbo Xiao, Jianying He, Zhiliang Zhang
Summary: Recent advancements in surface icephobicity have highlighted the importance of understanding the dynamic properties of the ice-substrate interface for designing effective anti-icing surfaces. Research has shown that considering the time-evolving properties of this interface is crucial for meeting challenges posed by harsh environments.
Article
Chemistry, Physical
Kunyu Wang, Bertrand Siboulet, Jean-Francois Dufreche
Summary: Simulating the molecular-level structures of electrical double layers is crucial for understanding the mechanism of ion adsorption on solid surfaces. Recent molecular dynamics studies reveal that the interaction between ion sites is similar to cation-anion pairs in the solvent. The present study demonstrates the collective effects in the adsorption of alkaline-earth chloride solution on an amorphous silica surface and provides insights into the ion-ion and ion-site specificities.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Article
Chemistry, Multidisciplinary
Christine M. E. Kriebisch, Alexander M. Bergmann, Job Boekhoven
Summary: Dynamic combinatorial libraries involve molecules reacting reversibly to form intricate networks under thermodynamic or kinetic control. The dynamics of the library are dominated by transacylation, an equilibrium reaction, while fuel-driven activation dictates the library's dynamics, a nonequilibrium reaction. Self-assembly can play a significant role in affecting reaction kinetics through feedback mechanisms.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2021)
Article
Automation & Control Systems
Ryan Wen Liu, Yu Guo, Yuxu Lu, Kwok Tai Chui, Brij B. B. Gupta
Summary: The Internet of Things (IoT) is a revolutionary communication paradigm that connects a large number of objects and devices for smart industrial environments. The growth of visual sensors greatly enhances traffic situational awareness, safety management, and intelligent vehicle navigation in intelligent transportation systems (ITSs). However, the quality of visual IoT is degraded due to the absorption and scattering of light in the atmosphere, leading to reduced contrast, color distortion, and challenges for high-level vision tasks in the ITS. To address this issue, we propose a deep network-enabled three-stage dehazing network (TSDNet) that significantly improves the imaging quality and outperforms state-of-the-art methods in both qualitative and quantitative evaluations. The TSDNet includes a multiscale attention module, a two-branch extraction module, and a multifeature fusion module for haze-free image reconstruction. The source code is available at https://github.com/gy65896/TSDNet.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Chemistry, Multidisciplinary
Jian Sun, Wei Hu, Lanying Zhang, Ruochen Lan, Huai Yang, Deng-Ke Yang
Summary: This study introduces a novel overcrowded alkene motor that can achieve photoisomerization under UV exposure, and modulate the photodynamic storage modulus through dynamic stable-unstable isomerization. This leads to light-driven self-oscillating behavior from chaotic to regular movement in polymer networks.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Chemistry, Physical
Aiping Zhang, Kai Cui, Yuanyuan Tian, Tieying Wang, Xin He
Summary: This article investigates the impact behavior of binary nanodroplets on hydrophobic and superhydrophobic surfaces, using molecular dynamics simulations to directly capture and analyze the dynamic evolutions of droplets. It provides insights into the practical applications of droplet impact and contributes to advancements in this field.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Thermodynamics
Yongji Wu, Yurong He, Tianqi Tang, Ming Zhai
Summary: This study investigates the effects of solid surface properties on methane hydrate formation using molecular dynamics simulations. The results show that surface properties can influence hydrate nucleation pathways and methane storage capacity, providing insights for developing additives that efficiently promote hydrate formation.
Article
Oceanography
Jingxiang Qu, Yuan Gao, Yuxu Lu, Wenyu Xu, Ryan Wen Liu
Summary: Visual sensors are commonly used for real-time maritime surveillance, but they often face low-visibility problems such as low light and haze, which reduce the effectiveness of maritime management. To address these issues, we developed a versatile visibility enhancement network called LPSNet, trained on a synthetic maritime dataset, which improves the quality of surveillance data captured in low-light and hazy environments. LPSNet outperforms previous methods in terms of enhancement effect and has a shorter running time, capable of enhancing 800 x 600 images at 18 FPS.
OCEAN & COASTAL MANAGEMENT
(2023)
Review
Chemistry, Physical
Jorn D. Steen, Daniel R. Duijnstee, Wesley R. Browne
Summary: Molecular switching has become a key functionality in addressable materials and surfaces. However, the wide variation in interfaces studied, from single-molecule devices to two-dimensional self-assembled monolayers and thin films, poses challenges in their use and characterization. The low number density of molecules on modified interfaces and the complexity of characterizing molecular function further complicate the analysis. This review discusses the techniques and approaches used for characterizing molecular switches applied to interfaces and emphasizes the importance of understanding the limitations and quirks of specific techniques through the use of model compounds.
SURFACE SCIENCE REPORTS
(2023)
Article
Biochemistry & Molecular Biology
Zhen-Lu Li, Carla Mattos, Matthias Buck
Summary: The article explores the importance of dynamic allostery in protein-protein interactions, revealing the impact of protein fluctuations on protein association processes, and investigates the influence of point mutations and ambient temperature on protein dynamics and interactions.
Article
Computer Science, Software Engineering
Stefan Bruckner, Tobias Isenberg, Timo Ropinski, Alexander Wiebel
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2019)
Article
Computer Science, Software Engineering
Sergej Stoppel, Magnus Paulson Erga, Stefan Bruckner
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2019)
Article
Computer Science, Software Engineering
V. Solteszova, N. N. Smit, S. Stoppel, R. Gruner, S. Bruckner
COMPUTER GRAPHICS FORUM
(2020)
Article
Computer Science, Software Engineering
T. Trautner, F. Bolte, S. Stoppel, S. Bruckner
COMPUTER GRAPHICS FORUM
(2020)
Article
Computer Science, Software Engineering
S. Storm-Furru, S. Bruckner
COMPUTER GRAPHICS FORUM
(2020)
Article
Computer Science, Software Engineering
T. Trautner, S. Bruckner
Summary: This paper presents a novel visualization technique called Line Weaver for dense line charts, which addresses the blending order issue using an importance function that allows for global or local application with various user interactions. By correctly considering the blending order without prior sorting of data, the method avoids visual inconsistencies that can occur in traditional approaches.
COMPUTER GRAPHICS FORUM
(2021)
Article
Computer Science, Software Engineering
Alexandra Diehl, Rodrigo Pelorosso, Juan Ruiz, Renato Pajarola, M. Eduard Groller, Stefan Bruckner
Summary: This study developed a visual analytics tool for detecting hazardous thunderstorms and their characteristics, focusing on reformulating expert task workflows for efficient decision-making. Results show that the tool is suitable for forecasters, with expressive, easy-to-use visual design for prompt analysis and quick decision-making.
COMPUTER GRAPHICS FORUM
(2021)
Article
Computer Science, Software Engineering
Fabian Bolte, Mahsan Nourani, Eric D. Ragan, Stefan Bruckner
Summary: The research introduces a novel visual metaphor that can clearly illustrate the hierarchical changes in data over time and allow for clear outlining of the hierarchical structure at different time steps. The method enables smooth transitions and exploration of the balance between dynamic behavior and hierarchical structure.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Laura Garrison, Juliane Mueller, Stefanie Schreiber, Steffen Oeltze-Jafra, Helwig Hauser, Stefan Bruckner
Summary: DimLift is a novel visual analysis method for creating and interacting with dimensional bundles. Dimensional bundles are expressive groups of dimensions that contribute similarly to the variance of a dataset. Through interactive exploration and reconstruction methods, users can lift interesting and subtle relationships to the surface.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Fabian Bolte, Stefan Bruckner
Summary: This article introduces a novel approach that helps visualization programmers explore the evolution of algorithms and corresponding visual outcomes during the development phase with an automatically updating meta visualization. The interactive system allows for direct comparison of visual and source code on different development states, providing easy-to-use navigation and comparison tools, enhancing user insight into interconnected changes over time.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Juliane Muller, Laura Garrison, Philipp Ulbrich, Stefanie Schreiber, Stefan Bruckner, Helwig Hauser, Steffen Oeltze-Jafra
Summary: The Dual Analysis framework is a powerful technology for exploring high-dimensional quantitative data, visualizing both quantitative and qualitative dimensions in the same view for natural joint treatment of mixed data. Utilizing various measures for different types of data allows for generating new insights and hypotheses.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Laura A. Garrison, Ivan Kolesar, Ivan Viola, Helwig Hauser, Stefan Bruckner
Summary: This report provides a comprehensive overview of key developments and challenges in visualization for physiology, by combining research from multiple disciplines. The resulting taxonomy categorizes literature based on organizational complexity and identifies high-level visualization tasks.
COMPUTER GRAPHICS FORUM
(2022)
Article
Mathematical & Computational Biology
Laura Garrison, Stefan Bruckner
Summary: Biomedical illustration and visualization techniques allow us to explore the complex molecular world visually, but the arbitrary use of colors in molecular visualizations limits their interpretability and effectiveness. This paper discusses the factors contributing to the diversity of color palettes and provides samples of color palettes used in industry and research sectors, as well as suggesting considerations for developing best practices in molecular visualization.
JOURNAL OF INTEGRATIVE BIOINFORMATICS
(2022)
Article
Computer Science, Software Engineering
Laura A. Garrison, David S. Goodsell, Stefan Bruckner, Bruce Campbell, Francesca Samsel
Summary: Aesthetics for the visualization of biomolecular structures have changed over time due to advancements in technology, user needs, and modes of dissemination. This article explores the goals, challenges, and solutions that have shaped the current landscape of biomolecular imagery from the perspectives of computer science, structural biology, and biomedical illustration. The changing approaches to rendering, color, human-computer interface, and narrative in biomolecular graphics are discussed, along with identifying opportunities and challenges for future aesthetics in this field.
IEEE COMPUTER GRAPHICS AND APPLICATIONS
(2023)
Article
Computer Science, Software Engineering
Eric Morth, Stefan Bruckner, Noeska N. Smit
Summary: Visual stories are a powerful tool for communicating specific information to a diverse audience. Scrollytelling, a technique widely used on the web, allows content to appear or change as users scroll up or down a page. This article presents a novel approach for creating, editing, and presenting data-driven scientific narratives using scrollytelling. The approach integrates various types of media and visualization techniques, and demonstrates the effectiveness through case studies and user research.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)