Article
Chemistry, Physical
G. C. Savulescu, M. Rucker, A. Scanziani, R. Pini, A. Georgiadis, P. F. Luckham
Summary: This study investigates the potential of using atomic force microscopy to characterize wetting behavior at the nanoscale, successfully observing an attraction phenomenon on the water droplet surface in experiments and obtaining parameters such as contact angle and contact angle distribution.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Xinfeng Shi, Vinay Sharma, David Cantu-Crouch, George Yao, Kyoko Fukazawa, Kazuhiko Ishihara, James Yuliang Wu
Summary: The study modified the surface of a silicone hydrogel contact lens with a biomimetic phospholipid polymer to mimic the natural corneal tissue, resulting in nanoscaled concavities and convexities on the surface. The mechanical properties of the surface were found to be similar to natural tissues, and the material remained intact after 30 days of clinical use. These results demonstrate the validity of material preparation by biomimetic methods and suggest potential for development of human-friendly medical devices.
Article
Chemistry, Multidisciplinary
Devon S. Jakob, Nengxu Li, Huanping Zhou, Xiaoji G. Xu
Summary: This article introduces a novel method to generate Coulombic force in KPFM, increasing the spatial resolution to approximately 25 nm. By integrating PiFM, high spatial resolution chemical distributions and surface potential maps can be obtained concurrently. This is expected to facilitate characterizations of nanoscale electrical properties of photoactive materials, semiconductors, and ferroelectric materials.
Article
Nanoscience & Nanotechnology
Nadav Zimron-Politi, Ryan C. Tung
Summary: In this paper, we validate an experimental model of contact resonance atomic force microscopy designed for sensors with long, massive tips. We develop a new technique and graphical method for identifying unknown system parameters and experimentally validate both the technique and the contact resonance model. Our contact resonance experimental measurements show a minimal error of 1.4%-4.5% compared to values obtained from nanoindentation, demonstrating the accuracy of the new model and parameter identification technique.
Article
Materials Science, Multidisciplinary
Xiaoli Huang, Haojie Lai, Junjie Liu, Qiulan Chen, Weiguang Xie
Summary: The contact characteristic and intrinsic conductivity of single MoO2 nanosheet grown by CVD method were investigated. It was found that the contact of Ag with MoO2 was better than that of Au. The measured intrinsic conductivity of MoO2 at low bias condition is as high as (2.5 +/- 1.3) x 104 S/cm. Non-linear behavior in IV characteristic and breakdown behavior were observed with increasing bias due to the contact effect. The supported current density is around 107 A/cm2, indicating that MoO2 is a superior conductive transition metal oxide material for low-voltage applications.
Article
Engineering, Mechanical
Tianbao Ma, Zhiwei Yu, Aisheng Song, Jiahao Zhao, Haibo Zhang, Hongliang Lu, Dandan Han, Xueyan Wang, Wenzhong Wang
Summary: This study used conductive atomic force microscopy to simulate the electric contact condition in MEMS switch and found that the fluctuation of current and adhesion force was caused by the repetitive formation and removal of insulative carbonaceous contaminants, leading to degradation and reestablishment of electrical contact. A system of iridium/graphene on ruthenium (Ir/GrRu) was proposed to stabilize the current fluctuation and decrease interfacial adhesion.
Article
Chemistry, Multidisciplinary
Andreas Weber, Daniel Tyrakowski, Jose L. Toca-Herrera
Summary: Bacterial cells actively tune their mechanical properties for various functions, and the cell envelope is crucial for mechanical properties. This study used AFM to investigate the viscoelastic properties of E. coli cells and successfully fitted the experimental results with power law rheology models. The findings provide valuable evidence for the interchangeability of properties derived from different measurement approaches.
Article
Engineering, Multidisciplinary
A. Garduno-Medina, E. Munoz-Pineda, M. A. Vazquez-Delgado, V. Garcia-Vazquez, R. Espinosa-Luna, F. J. Flores-Ruiz
Summary: Resonant curves of AFM cantilevers were studied using experimental data and FEA modeling. An analytical function was used to determine effective stiffness and mass for each resonant mode. Hydration process led to a reduction in normal contact stiffness k(N).
Article
Chemistry, Multidisciplinary
Damla Yesilpinar, Bertram Schulze Lammers, Alexander Timmer, Zhixin Hu, Wei Ji, Saeed Amirjalayer, Harald Fuchs, Harry Moenig
Summary: Dedicated methods in atomic force microscopy provide fundamental insights into atomic interactions by measuring threshold forces needed to move single adsorbed atoms or molecules. However, the chemical and structural properties of the probe-tip can significantly influence the results, emphasizing the importance of establishing atomically defined contacts.
Article
Engineering, Manufacturing
L. Angeloni, M. Ganjian, M. Nouri-Goushki, M. J. Mirzaali, C. W. Hagen, A. A. Zadpoor, L. E. Fratila-Apachitei, M. K. Ghatkesar
Summary: This study introduces two atomic force microscopy methods for determining the mechanical characteristics of individual micro- and nanopillars without the use of SEM. Case studies on nanopillars fabricated using additive manufacturing methods showed consistent results, confirming the efficacy of the proposed methods.
ADDITIVE MANUFACTURING
(2021)
Article
Chemistry, Multidisciplinary
Miriam Jaafar, Agustina Asenjo
Summary: Magnetic Force Microscopy (MFM) is a key technique for studying low-dimensional magnetic materials, traditionally used for samples in data storage. Advances in MFM modes have expanded its applications to skyrmionic structures, 2D materials, and biological samples, but caution is needed to account for potential artifacts in magnetic images.
APPLIED SCIENCES-BASEL
(2021)
Article
Nanoscience & Nanotechnology
Keivan Asadi, Junghoon Yeom, Hanna Cho
Summary: Investigating internal resonance (IR) mechanisms in micro/nanoresonators reveals that intermodal coupling between second and third flexural modes in asymmetric structures provides an optimal condition for strong IR, with high energy transfer to the resonated mode. This study introduces design strategies that can be easily integrated into typical micro/nanoelectromechanical systems, offering potential for paradigm-shifting applications in micro/nanosystems.
MICROSYSTEMS & NANOENGINEERING
(2021)
Article
Engineering, Chemical
Mohammad R. Vazirisereshk, Saima A. Sumaiya, Rimei Chen, Mehmet Z. Baykara, Ashlie Martini
Summary: The study using C-AFM and MD simulations found that the electrical contact resistance at the nanoscale decreases over time due to the increase in real contact area caused by atoms diffusing into the contact. This diffusion-based aging is a thermally activated process dependent on the local contact pressure.
Article
Engineering, Electrical & Electronic
Xu Yang, Chengfu Ma, Xiuxia Wang, Chenggang Zhou
Summary: Mechanical characterization at the nanoscale is essential for various fields such as nanomaterials, micro/nano devices, and nanomechanics. Atomic force microscopy (AFM), a key tool in nanotechnology, is widely used for its high-resolution imaging capabilities and as a platform for nanoscale mechanical characterization. Contact-resonance AFM, which modulates the tip-sample contact and analyzes the cantilever's resonance responses, is important for viscoelastic characterization. However, it requires time-consuming frequency sweep, limiting its practicality for quantitative scanning.
SENSORS AND ACTUATORS A-PHYSICAL
(2023)
Article
Chemistry, Physical
Azimet A. Karluk, Sunay D. Ekim, Bilge Baytekin, H. Tarik Baytekin
Summary: In this study, a simple method based on triboelectrification was proposed for monitoring oil degradation, and its feasibility was demonstrated through experiments.
APPLIED SURFACE SCIENCE
(2022)
Article
Polymer Science
I. Stankovic, Lidija Matija, M. Jankov, B. Jeftic, I. Koruga, Dj Koruga
JOURNAL OF POLYMER RESEARCH
(2020)
Article
Multidisciplinary Sciences
Valentina Matovic, Branislava Jeftic, Jasna Trbojevic-Stankovic, Lidija Matija
Summary: The study evaluated near-infrared spectroscopy (NIRS) as a non-invasive method for detecting anemia in hemodialysis patients. The high correlations between the NIR spectrum of dialysate fluid and the levels of blood variables support the use of NIRS as a promising method for online monitoring of anemia and iron saturation parameters in HD patients.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Physical
Milica Marjanovic, Danica Bajic, Srdja Perkovic, Bojana Fidanovski, Zijah Burzic, Lidija Matija, Dragoljub Bekric
Summary: The study examined the enhancement of mechanical properties of carbon-epoxy laminated composite by introducing tungsten disulfide nanoparticles, showing promising results for applications in automotive, nautical, aerospace, and military industries.
FULLERENES NANOTUBES AND CARBON NANOSTRUCTURES
(2021)
Article
Spectroscopy
V Matovic, J. Trbojevic-Stankovic, L. Matija, D. Sarac, A. Vasic-Milovanovic, A. Petrovic
Summary: The study utilized various machine learning algorithms to classify normoglycemia and hyperglycemia, with random forest and support vector machine showing the highest classification accuracy for predicting hyperglycemia. Serum glucose levels were presented as a binomial variable, and more specific machine learning methods were applied in this research.
JOURNAL OF APPLIED SPECTROSCOPY
(2021)
Article
Chemistry, Analytical
Milica Petrovic, Maciej Ciezkowski, Slawomir Romaniuk, Adam Wolniakowski, Zoran Miljkovic
Summary: A novel hybrid calibration method based on Neural Networks (NN) and Apparent Beacon Position Estimation (ABPE) is proposed to improve the accuracy of lateration positioning systems. The method employs a two-step position correction pipeline and shows potential for achieving high accuracy in different indoor scenarios.
Article
Chemistry, Multidisciplinary
Yasuhiro Kato, Jelena Muncan, Roumiana Tsenkova, Dusan Kojic, Masato Yasui, Jing-Yu Fan, Jing-Yan Han
Summary: This study demonstrated the successful discrimination of different water samples using near-infrared spectroscopy and aquaphotomics, revealing dynamic changes in water samples at different temperatures. Temperature perturbation could reveal subtle changes in water samples, such as aging and the loss of certain qualities during storage.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Aleksandar Jokic, Milica Petrovic, Zoran Miljkovic
Summary: This paper proposes a novel stereo visual servoing method for nonholonomic mobile robot control based on semantic segmentation to provide rich information for decision-making process in a manufacturing environment. The method utilizes fully convolutional neural networks for semantic segmentation and improves the accuracy and robustness of the approach compared to existing techniques through experimental evaluation.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Milica Petrovic, Aleksandar Jokic, Zoran Miljkovic, Zbigniew Kulesza
Summary: In this paper, a novel multi-objective Grey Wolf Optimizer (MOGWO) methodology is proposed for efficiently scheduling material transport tasks in intelligent manufacturing systems. The proposed methodology outperforms other algorithms in multiple metrics and is validated through experiments.
APPLIED SOFT COMPUTING
(2022)
Article
Optics
Dusan Kojic, Anna A. Simonova, Masato Yasui
Summary: The presence of ambient air in Fourier-Transform single-beam near-infrared spectrometers introduces external features that affect the accuracy of spectral acquisition. Controlling the atmosphere or post-processing the spectrum is necessary to correct for these effects. We proposed a procedure that accurately models the corrupting features of the ambient air using advanced modeling techniques and comprehensive survey of baseline-correction algorithms. Comparisons between different models showed significant improvements in spectral analysis. Implementing these algorithms is essential for quantitative analysis in the near-infrared region.
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
(2023)
Article
Medicine, General & Internal
Valentina Matovic, Jasna Trbojevic-Stankovic, Branislava Jeftic, Lidija Matija
SRPSKI ARHIV ZA CELOKUPNO LEKARSTVO
(2020)
Article
Engineering, Mechanical
Dusan Nedeljkovic, Zivana Jakovljevic, Zoran Miljkovic
Proceedings Paper
Computer Science, Theory & Methods
Zoran Miljkovic, Milica Petrovic
NEW TECHNOLOGIES, DEVELOPMENT AND APPLICATION II
(2020)
Proceedings Paper
Telecommunications
Dusan M. Nedeljkovic, Zivana B. Jakovljevic, Zoran Dj Miljkovic, Miroslav Pajic
2019 27TH TELECOMMUNICATIONS FORUM (TELFOR 2019)
(2019)
Proceedings Paper
Computer Science, Hardware & Architecture
Milica Petrovic, Alberto Villalonga, Zoran Miljkovic, Fernando Castano, Stanislaw Strzelczak, Rodolfo Haber
2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
(2019)
Article
Engineering, Multidisciplinary
Veljko Markovic, Zivana Jakovljevic, Zoran Miljkovic
TEHNICKI VJESNIK-TECHNICAL GAZETTE
(2019)
