Rapid Miniaturization Research Articles

Thermal interface materials of PDMS with h-BN fillers synthesized from ferroboron via SHS

Thermal interface materials (TIMs) are widely used to enhance heat transfer between heat-generating components of electronic devices and cooling radiators. The rapid miniaturization of electronic devices and the increase in their specific capacity have led to excessive heat loads, necessitating the development of TIMs based on dielectric powder fillers with high thermal conductivity. This paper presents an energy-efficient approach for synthesizing hexagonal boron nitride (h-BN) powder, used as a filler for thermal interface pads with a polydimethylsiloxane polymer matrix. The h-BN filler was produced through a two-step process: (1) self-propagating high-temperature synthesis of Fe-BN powder through the self-sustaining exothermic reaction of an affordable ferroboron powder with gaseous nitrogen, followed by (2) acid leaching of the synthesized powders to remove iron. The BN phase content in the resulting powder filler is 99.6 wt%. The pads demonstrated a thermal conductivity of up to 1.95 W m⁻1K⁻1 with a 40 wt% filler content and an average particle size of 40 μm, all while retaining adequate flexibility and elasticity.

Ln3+-doped glasses: Advancing molecular logic for integration into photonic and electronic devices

The rapid miniaturization of electronic devices has pushed the limits of conventional silicon-based technologies, creating a pressing need for novel approaches to sustain the exponential growth of computing power. This study explores the innovative application of Ln3+-doped glasses in developing molecular logic systems as a potential solution. Exploiting Eu3+ and Dy3+, we investigated the luminescence properties under various physical stimuli such as excitation wavelength and temperature. Our findings reveal the capability to construct logic elements of varying complexity, from simple AND and OR gates to advanced FULL-ADDER and FULL-SUBTRACTOR circuits. This work represents the first instance of using Ln3+ exclusively for molecular logic via physical stimuli. The robust and stable optical properties of the doped glasses enable their integration into conventional electronic and photonic devices, potentially revolutionizing the landscape of molecular logic and computing. This research not only enhances the understanding of light-matter interactions in Ln3+-doped systems but also opens new pathways for the development of miniaturized, high-performance innovative computational devices.

In-situ constructing continuous networks composed of SiC nanowires for enhancing the thermal conductivity of epoxy composites

With the rapid miniaturization and high degree of integration of modern electronic devices, there is an increasing demand for high-performance polymer-based thermal management materials. SiC nanowires (SiCNWs) are very promising fillers benefiting from their large aspect ratio and ease of constructing thermally conductive networks. However, the traditional random mixing method allows the SiCNWs to form a thermally conductive network only through physical overlap, resulting in a high interfacial thermal resistance. To address this problem, an innovative strategy for in-situ generating continuous network composed of SiCNWs was proposed in this study, in which the SiCNWs was formed through impregnation-sintering process using an inexpensive polyurethane (PU) sponge as a template. The porous skeletons were sintered by numerous SiCNWs, which not only conferred more thermally conductive pathways, but also solved the problem of weak bonding at the SiCNWs random lap interface. On this basis, the SiC skeletons were further used as reinforcement to prepare epoxy (EP)-based composites. Benefiting from the continuous thermally conductive networks composed of SiCNWs, the composites achieved a thermal conductivity (TC) of ∼1.17 W m−1 K−1 at a low volume fraction of 21.18 vol%, which was 548.7 % higher than that of pure EP. In addition, the unique SiCNWs skeletons also facilitated the enhancement of mechanical properties and thermal stability of the composites, providing new insight for the preparation of innovative thermal management materials.

Optimization of CoFe2O4 nanoparticles and graphite fillers to endow thermoplastic polyurethane nanocomposites with superior electromagnetic interference shielding performance.

The rapid growth, integration, and miniaturization of electronics have raised significant concerns about how to handle issues with electromagnetic interference (EMI), which has increased demand for the creation of EMI shielding materials. In order to effectively shield against electromagnetic interference (EMI), this study developed a variety of thermoplastic polyurethane (TPU)-based nanocomposites in conjunction with CoFe2O4 nanoparticles and graphite. The filler percentage and nanocomposite thickness were tuned and optimized. The designed GF15-TPU nanocomposite, which has a 5 mm thickness, 15 weight percent cobalt ferrite nanoparticles, and 35 weight percent graphite, showed the highest total EMI shielding effectiveness value of 41.5 dB in the 8.2-12.4 GHz frequency range, or 99.993% shielding efficiency, out of all the prepared polymer nanocomposites. According to experimental findings, the nanocomposite's dipole polarization, interfacial polarization, conduction loss, eddy current loss, natural resonance, exchange resonance, multiple scattering, and high attenuation significantly contribute to improving its electromagnetic interference shielding properties. The created TPU-based nanocomposites containing graphite and CoFe2O4 nanoparticles have the potential to be used in communication systems, defense, spacecraft, and aircraft as EMI shielding materials.

MEMS-based portable confocal Raman spectroscopy rapid imaging system.

Aiming at the miniaturization and rapid imaging requirements of a portable confocal Raman system, a MEMS-based portable confocal Raman spectroscopy rapid imaging method is proposed in this study. This method combines the dual 2D MEMS mirror scanning method and the grid-by-grid scanning method. The dual 2D MEMS mirror scanning method is used for the miniaturization design of the system, and the grid-by-grid scanning method is used for rapid imaging of Raman spectroscopy. Finally, the rapid imaging and miniaturization design of a portable confocal Raman spectroscopy system are realized. Based on this method, a portable confocal Raman spectroscopy rapid imaging system with an optical probe size of just 98m m×70m m×40m m is constructed. The experimental results show that the imaging speed of the system is 45 times higher than that of the traditional point-scan confocal Raman system, and the imaging speed can be further improved according to the requirements. In addition, the system is used to swiftly identify agate ore, and the material composition distribution image over a 126µm 2×126µm 2 region is obtained in just 16min. This method provides a new solution for the rapid imaging and miniaturization design of the confocal Raman system, as well as a new technical means for rapid detection in deep space exploration, geological exploration, and field detection.

A Miniature Biomedical Sensor for Rapid Detection of Schistosoma japonicum Antibodies.

Schistosomiasis, typically characterized by chronic infection in endemic regions, has the potential to affect liver tissue and pose a serious threat to human health. Detecting and screening for this disease early on is crucial for its prevention and control. However, existing methods encounter challenges such as low sensitivity, time-consuming processes, and complex sample handling. To address these challenges, we report a soluble egg antigen (SEA)-based functionalized gridless and meander-type AlGaN/GaN high electron mobility transistors (HEMT) sensor for the highly sensitive detection of antibodies to Schistosoma japonicum. Immobilization of the self-assembled membrane on the gate surface was verified using a semiconductor parameter analyzer, scanning electron microscope (SEM), and atomic force microscopy (AFM). The developed biosensor demonstrates remarkable performance in detecting anti-SEA, exhibiting a linear concentration range of 10 ng/mL to 100 μg/mL and a sensitivity of 0.058 mA/log (ng/mL). It also exhibits similar excellent performance in serum systems. With advantages such as rapid detection, high sensitivity, miniaturization, and label-free operation, this biosensor can fulfill the requirements for blood defense.

Rapid Detection of SARS-CoV-2 Nucleocapsid Protein by a Label-Free Biosensor Based on Optical Fiber Cylindrical Micro-Resonator

The current global outbreak of coronavirus (COVID-19) continues to be a severe threat to human health. Rapid, low-cost and accurate antigen detection methods are very important for disease diagnosis. The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) nucleocapsid protein (N-Protein) is often used as the diagnostic and screening for coronavirus detection. To this end, we propose and experimentally validate a highly sensitive whispering gallery mode (WGM) optical cylindrical micro-resonator (CMR) for bio-immunoassay detection. To study the biokinetic process of immunoassay, the surface of the WGM micro-resonator is functionalized with N-Protein monoclonal antibody (N-Protein-mAb), which led to the specific detection of N-Proteins. The spectral characteristics of the WGM resonance dip were investigated, it is found that the transmission spectrum of WGM shows a monotonically increasing red-shift as a function of recording time. The WGM red-shift is due to the antibody-antigen reaction and can be used for the analysis of the immunoassay process. The wavelength shift is shown to be proportional to the concentration of N-Protein, which ranges between 0.1 μg/mL and 100 μg/mL. Finally, different types of samples (concentration of 10 μg/mL of N-Protein) were prepared and tested to simulate the specificity of the sensor in the practical application environment. This method has the merits of rapid assay, lower expense, easy preparation, and miniaturization, which makes the sensor have potential for broad applications in the field of biochemistry and biomedical detection.

Tough polyimide composites synergistically reinforced by carbon nanofiber-grafted carbon fiber and rGO for improved heat dissipation and electromagnetic interference shielding

The rapid miniaturization and a consequent increase in electromagnetic wave (EM) and heat emission in integrated electronic devices are now urgently desiring for multifunctional polymer composites that simultaneously possess high mechanical properties, excellent electromagnetic interference (EMI) shielding ability and heat dissipation capability. Herein, a series of novel polyimide-based composite films were constructed by rationally assembling the carbon nanofiber-grafted carbon fiber (NCF) and reduced graphene oxide (rGO) into a highly electrically and thermally conductive pathway within polyimide matrix via a sequential bidirectional freezing casting and hot-pressing strategy. The combination of high tensile strength and toughness was obtained by incorporating rGO into the NCF-reinforced PI composite, giving rise to a hierarchical reinforcing structure of NCF and crack deflection induced by rGO nanosheets. The high electrical conductivity (7.0 × 103 S m−1) endows the PI/NCF30/rGO3.5 composite film with a good EMI shielding effectiveness of 45 dB. Moreover, the well-aligned thermally conductive NCF and rGO and strong interfacial bonding between the polymer matrix and reinforcing fibers give rise to improved thermal conductivity (λ), particularly along the in-plane direction. Typically, the PI/NCF30/rGO3.5 exhibits an in-plane thermal conductivity of 5.18 W m−1 K−1, ∼4.7 times increment compared to the pure PI (0.91 W m−1 K−1). Besides, the resultant PI/NCF30/rGO3.5 composite film presents a superior Joule heating performance with some features of fast thermal response, ease of regulation and sufficient reliability. Accordingly, the developed multifunctional polyimide-based composite films demonstrate high potential as advanced EMI shielding materials with excellent heat dissipation.

Effects of Channel Length Scaling on the Electrical Characteristics of Multilayer MoS2 Field Effect Transistor

With the rapid miniaturization of integrated chips in recent decades, aggressive geometric scaling of transistor dimensions to nanometric scales has become imperative. Recent works have reported the usefulness of 2D transition metal dichalcogenides (TMDs) like MoS2 in MOSFET fabrication due to their enhanced active surface area, thin body, and non-zero bandgap. However, a systematic study on the effects of geometric scaling down to sub-10-nm nodes on the performance of MoS2 MOSFETs is lacking. Here, the authors present an extensive study on the performance of MoS2 FETs when geometrically scaled down to the sub-10 nm range. Transport properties are modelled using drift-diffusion equations in the classical regime and self-consistent Schrödinger-Poisson solution using NEGF formulation in the quantum regime. By employing the device modeling tool COMSOL for the classical regime, drain current vs. gate voltage (ID vs. VGS) plots were simulated. On the other hand, NEGF formulation for quantum regions is performed using MATLAB, and transfer characteristics are obtained. The effects of scaling device dimensions, such as channel length and contact length, are evaluated based on transfer characteristics by computing performance metrics like drain-induced barrier lowering (DIBL), on-off currents, subthreshold swing, and threshold voltage.

Silver nanoparticles - laser induced graphene (Ag NPs - LIG) hybrid electrodes for sensitive electrochemical-surface enhanced Raman spectroscopy (EC-SERS) detection.

This paper presents a novel approach for the fabrication of low cost Electrochemical-Surface Enhanced Raman Scattering (EC-SERS) sensing platforms. Laser Induced Graphene (LIG) electrodes were readily fabricated by direct laser writing of polyimide tapes and functionalized with silver nanoparticles (Ag NPs) to obtain hybrid Ag NPs - LIG electrodes suitable for EC-SERS analysis. Detection was achieved by coupling a handheld potentiostat with a Raman spectrograph, enabling measurement of SERS spectra of target analytes generated during voltage sweeps in the 0.0 to -1.0 V interval range. The sensing capabilities of the fabricated system were first tested with model molecule 4-aminobenzenethiol (4-ABT). Following sensitive detection of 4-ABT, EC-SERS analysis of food contaminant melamine in milk and antibiotic difloxacin hydrochloride (DIF) in river water was demonstrated, achieving sensitive detection of both analytes without pre-treatment steps. The easiness of fabrication, versatility of design, rapid analysis time and potential miniaturization of the system make Ag NPs - LIG electrodes suitable for a large range of in situ applications in the field of food monitoring and for environmental analysis.

A bio-inspired fractal microchannel heat sink with secondary modified structure and sub-total-sub fluid transmission mode for high heat flux and energy-saving heat dissipation

With the rapid integration and miniaturization of electronic devices, thermal management has become one of the key factors restricting the development of microelectronic devices. The existing cooling methods consume enormous water and energy and destroy the environment and ecology. Therefore, a new heat dissipation technology is needed to meet the dual requirements of high heat flux heat dissipation capacity (HFHDC) and low power consumption. Inspired by the natural mass and energy transport ability of fractal structure, a composite microchannel with fractal microchannel serving as the main structure and secondary modified structure is proposed in this work to maintain high HFHDC and greatly reduce energy consumption of heat dissipation. Furtherly, a fluid guided layer providing high fluid distribution and lower pressure drop is designed to re-collect the distributed fluid at the end of the microchannel and discharge the cooling water. Compared with traditional design with single outlet, the temperature uniformity distribution can be improved and the pressure drop can be reduced by 46%. The simulation results show that under the temperature rise of 60 K, the heat flux of 577 W cm−2 (total heat power of 57.7 W) can be extracted by using the pumping power of 1.3 mW, and the coefficient of performance is as high as 43,465. This optimized design is fabricated by micro-machining processes, and the experiment data matches well with the simulation results. This work possesses high HFHDC, guarantees the trend of miniaturization of electronic system and greatly reduces the energy consumption for heat dissipation, providing a reference for low-power heat dissipation methods.

Experimental investigation for thermal performance enhancement of various heat sinks using Al2O3 NePCM for cooling of electronic devices

Electronic devices are being used extensively for different applications, where the thermal management of these devices is still a critical challenge due to rapid miniaturization, high heat flux and constantly rising temperature. Phase change materials (PCMs) based thermal management is adopted, but the low thermal conductivity limits their use in temperature-controlled electronic devices. Nano-enhanced phase change materials (NePCMs) can advance the heat transfer rate (HTr), decrease the temperature, and increase the operating time of the electronic device. The present study compares the thermal performances (TP) of three different heat sinks (simple, circular pin finned and copper foam) with NePCM (RT54HC/Al2O3) and varying Al2O3 nanoparticles concentrations (0.15–0.25 wt%) and heat fluxes (0.98–2.94 kW/m2) to optimize the overall device performance. The results show that at a heat flux (HF) of 0.98 kW/m2 and 0.25 wt% of Al2O3 nanoparticles (NPs), the base temperature of simple, circular pin finned and Cu foam heat sink was reduced by 21.3%, 25.03%, and 36.2%, respectively. The Cu foam heat sink (HS) has exceptional TP than the HSs without Cu foam. Accordingly, NePCMs are highly recommended in electronic devices for an optimized thermal management system.

Recent Development of Tunable Optical Devices Based on Liquid.

Liquid opens up a new stage of device tunability and gradually replaced solid-state devices and mechanical tuning. It optimizes the control method and improves the dynamic range of many optical devices, exhibiting several attractive features, such as rapid prototyping, miniaturization, easy integration and low power consumption. The advantage makes optical devices widely used in imaging, optical control, telecommunications, autopilot and lab-on-a-chip. Here, we review the tunable liquid devices, including isotropic liquid and anisotropic liquid crystal devices. Due to the unique characteristics of the two types of liquids, the tuning principles and tuning methods are distinguished and demonstrated in detail firstly and then some recent progress in this field, covering the adaptive lens, beam controller, beam filter, bending waveguide, iris, resonator and display devices. Finally, the limitations and future perspectives of the current liquid devices are discussed.

Single-use biomimetic sensors for rapid and sensitive cortisol detection in blood

The detection of biomarkers in blood using portable point-of-care (POC) devices can provide immense benefits for disease diagnosis and healthcare management. Electrochemical biosensors with rapid response, accuracy, high sensitivity, miniaturization, and portability are particularly advantageous for such applications. Here, we report on a photolithographically micropatterned, biomimetic organic 3-electrode impedimetric sensor (O3ES) for the ultralow volume (single drop – 10 μL) detection of cortisol in whole blood. The O3ES comprising a soft conducting polymer (PEDOT:PSS) and silk protein matrix provides a stable electrochemical signal from whole blood with minimal biofouling interference. A water-based, ambient processing of the sensors allows the immobilization of antibodies in the working electrode which act as the specific biorecognition molecules for cortisol. The increase in charge transfer resistance due to cortisol-antibody binding at the electrode surface is monitored to obtain a calibration curve via electrochemical impedance spectroscopy. The O3ES displays a linear and specific sensitivity towards cortisol in whole blood in the range of 0.01–50 μg dL−1. The flexible O3ES strips are designed to be discarded after a single use. This work demonstrates the realization of low-cost, disposable, organic POC sensors capable of detecting steroid hormones using ultralow sample volumes.

Silicene: an excellent material for flexible electronics

The outstanding properties of graphene have laid the foundation for exploring graphene-like 2D systems, commonly referred to as 2D-Xenes. Among them, silicene is a front-runner due to its compatibility with current silicon fabrication technologies. Recent works on silicene have unveiled its useful electronic and mechanical properties. The rapid miniaturization of silicon devices and the useful electro-mechanical properties of silicene necessitate the exploration of potential applications of silicene flexible electronics in nano electro-mechanical systems. Using a theoretical model derived from the integration of ab initio density-functional theory and quantum transport theory, we investigate the piezoresistance effect of silicene in the nanoscale regime. As with graphene, we obtain a small value of the piezoresistance gauge factor (GF) of silicene, which is sinusoidally dependent on the transport angle. The small GF of silicene is attributed to its robust Dirac cone and strain-independent valley degeneracy. Based on the obtained results, we propose to use silicene as an interconnect in flexible electronic devices and as a reference piezoresistor in strain sensors. This work will hence pave the way for exploring flexible electronics applications in other 2D-Xene materials.

Considerations for improving data quality of thermo-hygrometer sensors on board unmanned aerial systems for planetary boundary layer research

Abstract. Small unmanned aerial systems (UASs) are becoming a good candidate technology for solving the observational gap in the planetary boundary layer (PBL). Additionally, the rapid miniaturization of thermodynamic sensors over the past years has allowed for more seamless integration with small UASs and more simple system characterization procedures. However, given that the UAS alters its immediate surrounding air to stay aloft by nature, such integration can introduce several sources of bias and uncertainties to the measurements if not properly accounted for. If weather forecast models were to use UAS measurements, then these errors could significantly impact numerical predictions and hence influence the weather forecasters' situational awareness and their ability to issue warnings. Therefore, some considerations for sensor placement are presented in this study, as well as flight patterns and strategies to minimize the effects of UAS on the weather sensors. Moreover, advanced modeling techniques and signal processing algorithms are investigated to compensate for slow sensor dynamics. For this study, dynamic models were developed to characterize and assess the transient response of commonly used temperature and humidity sensors. Consequently, an inverse dynamic model processing (IDMP) algorithm that enhances signal restoration is presented and demonstrated on simulated data. This study also provides contributions on model stability analysis necessary for proper parameter tuning of the sensor measurement correction method. A few real case studies are discussed where the application and results of the IDMP through strong thermodynamic gradients of the PBL are shown. The conclusions of this study provide information regarding the effectiveness of the overall process of mitigating undesired distortions in the data sampled with a UAS to help increase the data quality and reliability.

Electrochemical sensors for the determination of carbofuran in natural objects (a review)

The review is devoted to the analysis of literature data on the development of modern electrochemical sensors for the determination of carbofuran in natural objects (water, soil, food). Sensors for the determination of carbofuran can be conditionally divided into two groups according to the type of electrode materials used: carbon-containing and biosensors. Carbon-containing sensors manufactured using nanotechnologies based on 0D – 3D allotropic modifications of carbon (carbon black, graphene, carbon nanotubes, fullerene) exhibit unique properties such as structural polymorphism, high surface area, thermal and chemical stability, biocompatibility, and original catalytic properties. At the same time, biosensors are considered promising analytical systems that complement traditional analytical methods due to the possibility of rapid on-site monitoring and miniaturization. Currently, biosensors used for the determination of carbofuran are mainly divided (proceeding from the type of bio-recognition elements) into enzyme biosensors (acetylcholinesterase and other enzymes) and immunosensors (antibodies and aptamers). Two detailed tables present data on electrochemical sensors developed for the determination of carbofuran in natural objects, including their advantages and shortcomings. All the developed sensors for the determination of carbofuran are characterized by high sensitivity, selectivity, rapidity, and low manufacturing cost, which makes electroanalytical methods a worthy alternative to the methods of analysis traditionally used for the determination of pesticides (liquid and gas chromatography, spectrophotometry, capillary electrophoresis, etc.). Preparation of vegetable and fruit samples for analysis using sensors of various types is described: the main stage of sample preparation is the alkaline hydrolysis of carbofuran, which is electrochemically inactive, to carbofuran-phenol. This review may be of interest to laboratories for the quality control of agricultural products and foodstuffs.

A Mutual Authentication and Cross Verification Protocol for Securing Internet-of-Drones (IoD)

With the rapid miniaturization in sensor technology, Internet-of-Drones (IoD) has delighted researchers towards information transmission security among drones with the control station server (CSS). In IoD, the drone is different in shapes, sizes, characteristics, and configurations. It can be classified on the purpose of its deployment, either in the civilian or military domain. Drone’s manufacturing, equipment installation, power supply, multi-rotor system, and embedded sensors are not issues for researchers. The main thing is to utilize a drone for a complex and sensitive task using an infrastructure-less/self-organization/resource-less network type called Flying Ad Hoc Network (FANET). Monitoring data transmission traffic, emergency and rescue operations, border surveillance, search and physical phenomenon sensing, and so on can be achieved by developing a robust mutual authentication and cross-verification scheme for IoD deployment civilian drones. Although several protocols are available in the literature, they are either design issues or suffering from other vulnerabilities; still, no one claims with conviction about foolproof security mechanisms. Therefore, in this paper, the researchers highlighted the major deficits in prior protocols of the domain, i.e., these protocols are either vulnerable to forgery, side channel, stolen-verifier attacks, or raised the outdated data transmission flaw. In order to overcome these loopholes and provide a solution to the existing vulnerabilities, this paper proposed an improved and robust public key infrastructure (PKI) based authentication scheme for the IoD environment. The proposed protocol’s security analysis section has been conducted formally using BAN (Burrows-Abadi-Needham) logic, ProVerif2.03 simulation, and informally using discussion/pragmatic illustration. While the performance analysis section of the paper has been assessed by considering storage, computation, and communication cost. Upon comparing the proposed protocol with prior works, it has been demonstrated that it is efficient and effective and recommended for practical implementation in the IoD environment.

3D‐printed surface‐modified aluminum nitride reinforced thermally conductive composites with enhanced thermal conductivity and mechanical strength

AbstractWith the rapid miniaturization of electronic devices, novel thermally conductive composite materials are required for efficient thermal management. In this study, a straightforward strategy to fabricate thermally conductive composites, based on UV‐curable acrylate polymer using the DLP technique, was explored. Aluminum nitride (AlN), a ceramic filler with high thermal conductivity and mechanical strength, was functionalized with an acrylate bearing silane compound. This improved the interfacial adhesion between the filler and matrix, resulting in enhanced thermal conductivity. The thermal conductivity of the composite with 30 wt.% modified AlN was 0.42 W/mK, which is 3.5 times higher than that of neat UV‐cured acrylate resin (0.12 W/mK). The tensile strength also increased from 13.9 to 20.8 MPa before and after surface treatment due to improved filler‐matrix compatibility. The study demonstrates that 3D‐printing can be easily integrated into the fabrication of thermally conductive composites and filler surface modification can effectively enhance the thermal and mechanical strength of the composite.

New Measurement Methods for Structure Deformation and Objects Exact Dimension Determination

The current rapid development of technologies enables new procedures for deformation and the detecting of construction defects and their modelling and monitoring in BIM. New instruments were developed for fast and sufficiently accurate mapping like personal mobile laser scanners (PLS). In the world of photography, the size of camera sensors is bigger, and the photographs are sharper. The rapid development of computer performance enables automatic and complex calculations, which lead to large sets of detailed 3D data and a high degree of automation. This influences photogrammetry and its methods. The results are more detailed and more accurate. Deformation, defects and exact dimensions (metrology) of different structures or objects can be currently measured by digital close-range photogrammetry. Cracks and cavities are monitored for structure status detection. This is important for planning reconstruction and for financial reasons. For structures like cooling towers, chimneys, or bridges can be created on a 3D model with a high texture resolution for finding and monitoring cracks and cavities. Deformations or defects that were found must be in scale, and measurable for the calculation of the scope of repair work and its price. The generated 3D object model can then be used for further measurements, for the price estimation of renovation, and for the creation of a BIM, in which all processes can be modelled and watched. Deformation can be monitored over time by creating additional models after a defined period. Captured 3D models from different periods can be compared in software like CloudCompare to determine the progress of degradational changes. The trend of the aging of the structure can be traced, which will be helpful for the reasonable planning of reconstruction. Based on the rapid development and miniaturization of measuring devices, new, smaller, easier to use, and more perfect devices are constructed. This also applies to the new group of laser scanners constructed for basic measurement and structure modeling for BIM. Conventional laser scanners can be accurate, but they are relatively large and heavy, difficult to transport and measuring with them is relatively slow (stop and go type). If the project goal is the classic construction, documentation of the object, data transfer to BIM or basic documentation of objects, PLS is the ideal device. Thanks to the development of accurate IMU (inertial measurement unit) and SLAM (simultaneous localization and mapping) technologies, these devices are on the rise. The forthcoming article will inform about the methods of accurate close-range photogrammetry and mobile laser scanning and will show their advantages with specific examples.