Large Number Of Channels Research Articles

Efficient and scalable edge coupler based on silica planar lightwave circuits and lithium niobate thin films

Recently, lithium niobate on insulator (LNOI) has emerged as a promising photonic integration platform for optical communication due to its outstanding material properties. However, an optical coupler that features high-efficiency is essential to improve the practicability of LN devices. In this work, we proposed a high coupling efficiency and scalable edge coupler, which consists of silica-based planar lightwave circuit (PLC) and LN bilayer taper. The silica-based PLC is positioned on the bottom of LN bilayer taper, which serves as the optical interface connecting the LNOI waveguide to the fiber. The silica-based PLC is interfaced to optical fibers through butt-coupling. Then, LN bilayer taper transfers the light form silica PLC to LN ridge waveguide through adiabatic coupling and converts it gradually into the fundamental mode. When coupled to an ultra-high numerical aperture fiber (UHNA), the simulation results show a low coupling loss of 0.11 dB and 0.128 dB per facet for TE and TM mode, respectively. The scalability of the coupler for large numbers of channels has been proven, which meets the performance requirements of LN devices employed in high-bandwidth, multi-channel systems. These results open a path for lithium niobate photonic integration circuit (PIC) and low-cost optical packaging.

A bioinspired ionic diode membrane based on sub-2 nm covalent organic framework channels for ultrahigh osmotic energy generation

Electric eels can convert ionic concentration gradients into a high-efficiency power via a large number of sub-2 nm transmembrane ion channels, which can exhibit high ion selectivity and strong diode-like ion rectification property. Inspired by this, herein, we report on a sub-2 nm scale ionic diode membrane, composed of an ultrathin (∼110 nm) β-ketoenamine-linked two-dimensional covalent-organic framework (COF) membrane and a highly ordered alumina nanochannel membrane (ANM), for highly efficient osmotic energy harvesting. As verified by our experimental and simulation results, the heterostructured membrane with the features of asymmetric charges and pore sizes in two aligned COF (1.1 nm) and ANM (100 nm) channels is capable of highly rectifying ion transport even in high 0.5 M salt solution. Benefiting from the presence of abundant sub-2 nm COF-based ion channels and the strong ionic diode effect, an unprecedented power density of up to 27.8 W/m2 is achieved by mixing the artificial salt-lake water and river water (500-fold NaCl gradient). This study will open new avenues of using the rectified ion channel-mimetic nanofluidic membrane as a new platform towards the exploration and development of an ultrahigh osmotic power generator.

Dynamic analysis of neural signal based on Hodgkin–Huxley model

Acupuncture is an important part of traditional Chinese medicine (TCM). Although the efficacy of acupuncture has been widely accepted, the scientific basis behind it is still lack of exploration. Some experimental studies have shown that acupuncture can lead to changes in cell membrane potential, thus affecting the transmission of nerve signals to a certain extent. The change of cell membrane potential mainly depends on a large number of voltage dependent ion channels on the cell membrane. Relevant studies have proved that such voltage dependent ion channels have certain mechanical sensitivity, but the principle is not clear. Based on the theoretical model of cell action potential excitability proposed by Hodgkin–Huxley, taking rat skeletal muscle cell fibers as an example, this paper makes a rough stability analysis of the nonlinear system, explores the conditions of repeated discharge of cell membrane, and simulates the law of cell membrane potential frequency variation under different stimulating currents by numerical calculation. Based on the results of numerical simulation, we propose a hypothesis: Mechanical stimulation will produce a certain amount of stimulating current on the cell membrane, making the cell membrane potential in the state of repeated discharge, so as to block or interfere with the transmission of nerve signals and achieve the analgesic effect and so forth.

Hierarchical Spatiotemporal Graph Regularized Discriminative Correlation Filter for Visual Object Tracking.

Visual object tracking is a fundamental and challenging task in many high-level vision and robotics applications. It is typically formulated by estimating the target appearance model between consecutive frames. Discriminative correlation filters (DCFs) and their variants have achieved promising speed and accuracy for visual tracking in many challenging scenarios. However, because of the unwanted boundary effects and lack of geometric constraints, these methods suffer from performance degradation. In the current work, we propose hierarchical spatiotemporal graph-regularized correlation filters for robust object tracking. The target sample is decomposed into a large number of deep channels, which are then used to construct a spatial graph such that each graph node corresponds to a particular target location across all channels. Such a graph effectively captures the spatial structure of the target object. In order to capture the temporal structure of the target object, the information in the deep channels obtained from a temporal window is compressed using the principal component analysis, and then, a temporal graph is constructed such that each graph node corresponds to a particular target location in the temporal dimension. Both spatial and temporal graphs span different subspaces such that the target and the background become linearly separable. The learned correlation filter is constrained to act as an eigenvector of the Laplacian of these spatiotemporal graphs. We propose a novel objective function that incorporates these spatiotemporal constraints into the DCFs framework. We solve the objective function using alternating direction methods of multipliers such that each subproblem has a closed-form solution. We evaluate our proposed algorithm on six challenging benchmark datasets and compare it with 33 existing state-of-the art trackers. Our results demonstrate an excellent performance of the proposed algorithm compared to the existing trackers.

Efficient long-range convolutions for point clouds

The efficient treatment of long-range interactions (LRIs) for point clouds is a challenging problem in many scientific machine learning applications. To extract global information, one usually needs a large window size, a large number of layers, and/or a large number of channels. This can often significantly increase the computational cost. In this work, we present a novel neural network layer that directly incorporates long-range information for a point cloud. This layer, dubbed the long-range convolutional (LRC)-layer, leverages the convolutional theorem coupled with the non-uniform Fourier transform. In a nutshell, the LRC-layer mollifies the point cloud to an adequately sized regular grid, computes its Fourier transform, multiplies the result by a set of trainable Fourier multipliers, computes the inverse Fourier transform, and finally interpolates the result back to the point cloud. The resulting global all-to-all convolution operation can be performed in nearly-linear time asymptotically with respect to the number of input points. The LRC-layer is a particularly powerful tool when combined with local convolution as together they offer efficient and seamless treatment of both short- and long-range interactions. We showcase this framework by introducing a neural network architecture that combines LRC-layers with short-range convolutional layers to accurately learn the energy and force associated with a N-body potential. We also exploit the induced two-level decomposition and propose an efficient strategy to train the combined architecture with a reduced number of samples.

A 0.00426 mm2 77.6-dB Dynamic Range VCO-Based CTDSM for Multi-Channel Neural Recording

Driven by needs in neuroscientific research, future neural interface technologies demand integrated circuits that can record a large number of channels of neural signals in parallel while maintaining a miniaturized physical form factor. Using conventional methods, it is challenging to reduce circuit area while maintaining the high dynamic range, low noise, and low power consumption required in the neural application. This paper proposes to address this challenge using a VCO-based continuous-time delta-sigma modulator (CTDSM) circuit, which can record and digitize neural signals directly without the need for front-end instrumentation amplifiers and anti-aliasing filters, which are limited by the abovementioned circuit-area performance tradeoff. Thanks to the multi-level quantization and intrinsic mismatch-shaping capabilities of the VCO-based approach, the proposed first-order CTDSM can achieve comparable electrical performance to a higher-order CTDSM while offering further area and power reductions. We prototyped the circuit in a 22-channel test chip and demonstrate, based on the chip measurement results, that the proposed modulator occupies an area of 0.00426 mm2 while achieving input-referred noise levels of 6.26 and 3.54 µVrms in the action potential (AP) and local field potential (LFP) bands, respectively. With a 77.6 dB wide-dynamic range, the noise and total harmonic distortion meet the requirements of a neural interface with up to 149 mVpp input AC amplitude or up to ±68 mV DC offsets. We also validated the feasibility of the circuit for multi-channel recording applications by examining the impact of cross-channel VCO oscillation interferences on the circuit noise performance. The experimental results demonstrate the proposed architecture is an excellent candidate to implement future multi-channel neural-recording interfaces.

ATLAS toward the High Luminosity era: Challenges on electronic systems

In order to face the challenging experimental conditions at the HL-LHC, the ATLAS detector will be equipped with new sets of both front-end and off-detector electronics and a new trigger and data acquisition system able to cope with the expected event rates and pile-up levels. The large number of detector channels, huge volumes of input and output data, short time available to process and transmit data, harsh radiation environment and the need of low power consumption, all impose great challenges on the design and operation of the electronic systems.

The ITk interlock hardware protection system

For the upgrade of the Large Hadron Collider to the High-Luminosity Large Hadron Collider (HL-LHC) the ATLAS detector will install a new Inner Tracker (ITk), which consists completely of silicon detectors. Although different technologies were chosen for the inner and outer part, the major risk for all silicon detectors are overheatings, which can cause irreparable damages. Since, once installed, detector elements are not accessible for several years or even for the lifetime of the detector, such damages must be avoided by all means. The ITk interlock system is a hardwired safety system, which acts as last line of defense and is designed to protect the sensitive detector elements against upcoming risks. The core of the interlock system consists of distributed FPGAs, housing the interlock matrix decision tables. They collect signals from interlock-protected devices and distribute signals onto interlock-controlled units (e.g. power supplies). Additionally, signals from external systems can be integrated. To keep the number of detector elements, which are out of operation, at a minimum, the power supplies are controlled with high granularity. The resulting large number of channels explains why no commercial solution was selected. We report from the concept to the realization.

Scholars’ domain of information space

The article addresses scholars’ information behaviour and how they use technology to acquire information in three areas of their work: teaching, research, and administrative responsibilities. Research in information behaviour highlights fundamental problems concerning information availability, recognisability, and context (Jones et al., 2017). On the other hand, it can respond to information diffusion by demonstrating the perspective of information transmission and sharing (Vilar, 2014). Because context is so important, it is likely that scholars in different fields of science will have distinct informational habits when it comes to finding knowledge (Canary, McPhee, 2011; Yu & Zhou, 2015.). An assumption in the model of information space (I-Space) is that dissemination of information is weaker as the targeted audience is broader (Boisot, 1995).The aim of our study was to find which communication channels academics utilize to find and share knowledge. Are they those targeting a broader audience, i.e. formal-explicit communication, or those targeting a narrower one, i.e. informal-tacit communication? Our questionnaire, which included 125 academics from Croatian public polytechnics, aimed to find how respondents received knowledge in the three primary areas of work through various communication methods. Nine possible statements were presented for each domain and scored on a seven-point Likert scale. The domains included personal level, informal and formal groups, and public modalities for disseminating information, such as the Internet and institutional intranets, social networks, and cloud technologies. With Cronbach’s alpha coefficient value we can confirm that the set of statements in questions has sufficient internal consistency and is reliable for further processing. Considering a large number of channels for each area of activity, a reduction was made through Principal Component Analysis (PCA), with the aim of determining new factors to find the latent component in various communication channels and to discover which type of communication is most represented in each domain and with a distinction between science field.We discovered that academics typically locate material for teaching purposes in a narrower scope and in a more direct form inside communication channels, whereas information for research purposes is obtained in a broader scope and in a more explicit form. Although explicit in nature, information collection and dissemination through administrative operations takes place within a smaller scope in either formal or informal methods (Goes, 2015). Our factor analysis shows a distinction between social and technical domains of science in terms of how scholars collect material for administrative task.This work is part of a larger study aimed at determining the mechanisms of information diffusion within an academic institution utilizing information space model.

Ion channels as a therapeutic target for renal fibrosis.

Renal ion channel transport and electrolyte disturbances play an important role in the process of functional impairment and fibrosis in the kidney. It is well known that there are limited effective drugs for the treatment of renal fibrosis, and since a large number of ion channels are involved in the renal fibrosis process, understanding the mechanisms of ion channel transport and the complex network of signaling cascades between them is essential to identify potential therapeutic approaches to slow down renal fibrosis. This review summarizes the current work of ion channels in renal fibrosis. We pay close attention to the effect of cystic fibrosis transmembrane conductance regulator (CFTR), transmembrane Member 16A (TMEM16A) and other Cl− channel mediated signaling pathways and ion concentrations on fibrosis, as well as the various complex mechanisms for the action of Ca2+ handling channels including Ca2+-release-activated Ca2+ channel (CRAC), purinergic receptor, and transient receptor potential (TRP) channels. Furthermore, we also focus on the contribution of Na+ transport such as epithelial sodium channel (ENaC), Na+, K+-ATPase, Na+-H+ exchangers, and K+ channels like Ca2+-activated K+ channels, voltage-dependent K+ channel, ATP-sensitive K+ channels on renal fibrosis. Proposed potential therapeutic approaches through further dissection of these mechanisms may provide new therapeutic opportunities to reduce the burden of chronic kidney disease.

Геоинформационный анализ рельефа Кумо-Манычской впадины

The territory of the Kumo-Manych depression is located in the fault zone of the tectonic plate and is a characteristic floodplain structure with a large number of swamps, lakes and channels. This territory is characterized by a high anthropogenic load associated with the intensive use of land for agricultural production and, as a consequence, with the manifestations of degradation processes. The relevance of the analysis of the relief of the territory is due to the influence of geomorphological characteristics on the magnitude and dynamics of erosion degradation of land. The methodological basis of the research is the catchment approach, which provides the structuring of landscape structures. The research methodology is based on the use of geoinformation systems for the development of analytical maps based on digital terrain models and geostatistical analysis of the spatial distribution of its structure. The results of the research are presented by analytical maps that allow us to determine the characteristics of the terrain of the terrain with their proximity to a certain location. These results make it possible to assess the erosion hazard of such sites and to develop measures in advance to prevent their degradation. Thus, geoinformation analysis of the relief of the Kumo-Manych depression allowed us to establish that about 47 % of the area of the research site is located in the height range from 20 to 80 m. The steepness of the slopes is insignificant, 52.7 % of the territory has a steepness of less than 1°. Another 38.2 % of the slopes have a steepness of less than 2°. Uncultivated slopes with a steepness of more than 8° occupy less than 1 % of the landfill area.

Development of a compact and cost-effective PET detector module for a small-animal PET system with FESA ASIC

Due to the high cost and large channel number in positron emission tomography (PET) systems, the integration level and cost performance must be considered in the construction of commercial PET systems. In this paper, a highly integrated readout electronic system was designed and implemented based on a self-developed FESA (Front End for SiPM Arrays) readout ASIC; a compact cost-effective detector module with four lined up detector heads was built, and its performance was evaluated. Each detector head consisted of a 24× 24 LYSO crystal array (each crystal element had dimensions of 0.99 × 0.99 × 15 mm3), one end coupling to an 8 × 8 silicon photomultiplier array (SiPM array with dimensions of 3.2 × 3.2 mm2 each), and the other end covered with a 1 mm thick light guide layer. Since the front-end FESA readout chip employed a row-column summing circuit to reduce the readout channels from 64 to 16, we tried a new depth encoding method based on a single-end readout with the structure. The test results showed that the average coincidence time resolution (CTR), energy resolution, and depth of interaction (DOI) resolution of the detector are 413 ps, 15.7%, and 5.2 mm, respectively, while the crystal array in the detector head with 9-to-1 coupling can be clearly separated in the flood image. Compared with the detector head without the depth encoding ability, the clearness of the flood image was slightly decreased, but the energy resolution and time performance remained the same. We also implemented a central control board that connected all detector modules via fiber connections. The data from the detector modules could be collected over the connections, and the system central clock could be precisely distributed; therefore, the compactness of the electronics system was further enhanced.

A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS

Next-generation invasive neural interfaces require fully implantable wireless systems that can record from a large number of channels simultaneously. However, transferring the recorded data from the implant to an external receiver emerges as a significant challenge due to the high throughput. To address this challenge, this article presents a neural recording system-on-chip that achieves high resource and wireless bandwidth efficiency by employing on-chip feature extraction. Energy–area-efficient 10-bit 20-kS/s front end amplifies and digitizes the neural signals within the local field potential (LFP) and action potential (AP) bands. The raw data from each channel are decomposed into spectral features using a compressed Hadamard transform (CHT) processor. The selection of the features to be computed is tailored through a machine learning algorithm such that the overall data rate is reduced by 80% without compromising classification performance. Moreover, the CHT feature extractor allows waveform reconstruction on the receiver side for monitoring or additional post-processing. The proposed approach was validated through <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in vivo</i> and off-line experiments. The prototype fabricated in 65-nm CMOS also includes wireless power and data receiver blocks to demonstrate the energy and area efficiency of the complete system. The overall signal chain consumes 2.6 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{W}$ </tex-math></inline-formula> and occupies 0.021 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> per channel, pointing toward its feasibility for 1000-channel single-die neural recording systems.

A STUDY ON THE SEASONAL TREND OF PHYSICOCHEMICAL PARAMETERS OF MINOR-RAYA CANAL WATER OF TUNGABHADRA DAM HOSPET, KARNATAKA, INDIA

&#x0D; &#x0D; &#x0D; During Vijayanagara dynasty (about 400 years back), Raya canal has been built and serving the irrigation needs of the local population of the Hospet Taluk of Bellary district, Karnataka, India. The urban development of Hospet town has been taken place right up to the canal boundary and in certain places; the canal land has also been encroached. A large number of open channels and pipelines etc., have been directly connected to the canal and at many locations, the canal plays an important role as a drainage line or seepage disposal point. The canal water is polluted from disposal of untreated sewage, seepage of agricultural wastes, domestic wastes, washing activities, storm water drainage, cattle farming wastes and dumping of liquid &amp; solid wastes. The people residing on either sides of the Raya canal were using the water extensively for the purpose of washing, bathing, drinking, fishing, cattle feeding etc. To understand the situation, at four different sample stations, (S1 to S4) along the course of Raya canal, water samples were collected on monthly basis to determine and evaluate seasonal changes in the physicochemical parameters like pH, EC, Temp, TH, TA, BOD, COD, chloride, nitrate, phosphate and DO. The comparison of statistics with the standard values prescribed by WHO (2004), ISI (1983), for drinking water and BIS (1991) for irrigation purpose; revealed the high level of BOD, COD, TA and low level of DO in the water content causes a hazardous effect on both aquatic and human lives.&#x0D; &#x0D; &#x0D;

Effects of nitrogen and sulfur atom regulation on electrochemical properties of Na3V2(PO4)2F3 cathode material for Na-ion batteries

The cathode material Na3V2(PO4)2F3 of sodium-ion battery is well-known for its large number of ion migration channels and high working voltage. However, the electrochemical performance of Na3V2(PO4)2F3 is not very outstanding. Thus, in the present study, Na3V2(PO4)2F3 cathode materials were successfully synthesized by using the sol-gel method and mechanical milling method to enhance the electrochemical performance. The physicochemical properties of synthesized Na3V2(PO4)2F3 were investigated by using X-ray diffraction spectroscopy, X-ray photoelectron spectroscopy, scanning electron microscopy, transition electron microscopy. X-ray diffraction spectroscopy indicates that the doping of nitrogen and sulfur did not alter the crystal form of Na3V2(PO4)2F3. Transition electron microscopy image shows that Na3V2(PO4)2F3 has a thin carbon layer, and x-ray photoelectron spectroscopy illustrates the successful doping of nitrogen and sulfur into the carbon layer. The cyclic voltammetry curves show that the nitrogen and sulfur co-doped Na3V2(PO4)2F3 samples have good reversibility and low polarization. Materials with 15% thiourea has a high discharge specific capacity (126.9 mA h g−1 at 0.2 C) at the first cycle and excellent cycle stability (126.3 mA h g−1 after 100 cycles, a capacity retention of 99.5%) among the synthesized cathode materials. In the present study, the electrochemical performance of the Na3V2(PO4)2F3 cathode material was enhanced by regulation of co-doping of nitrogen and sulfur atoms.

High capacitance and cycling stability of flexible-asymmetric-supercapacitor based on hierarchical NiAlP/NiAl-LDHs@MXene electrodes

To address the limitations of flexible asymmetric supercapacitor (FASC) with poor stability and low capacitance, highly electrochemically active materials and rational structural design are urgently needed. Herein, a lamellar interwoven heterostructure of NiAlP/NiAl-LDHs@MXene composite electrode with high capacitance and cycling stability was fabricated by hydrothermal reaction and electrostatic assembly. As a result, the NiAlP/NiAl-LDHs@MXene hybrid electrode delivers a high specific capacitance of 3.88 F cm−2 (2589.3 F g−1) and excellent cycling stability (91.1% capacity retention after 8000 cycles) at 1.0 mA cm−2. In addition, the fabricated NiAlP/NiAl-LDHs@MXene//AC FASC exhibits a higher power density of 1800 W kg−1 at the energy density of 81.1 Wh kg−1. It is worth noting that FASC still exhibits good structural integrity and outstanding stability (96.9% capacity retention after 10000 cycles) after being folded at different angles. Comparative experiments and density functional theory (DFT) reveal that the synergistic effect of NiAlP@NiAl-LDHs and Ti3C2Cl2 MXene can provides a large number of hierarchical channels and generates more active sites, which accelerates the rapid migration of electrons and ions during charge and discharge. This work not only provides a promising electrode material for energy storage, but also opens a new idea for the selection of electrode materials for flexible wearable electronic devices.

Bidirectional Passive Optical Network Employing Different Line codings/Modulation Formats in Wavelength Reused RSOA Based Symmetrical 10 Gbps

Passive optical networks (PONs) with the integration of multiple channels are the high capacity systems to cater the large number of channels in order to fulfill demands of internet applications. To realize a crosstalk suppressed and cost effective system, an integrated multi channel PON for mitigation of the crosstalk between upstream and downstream channels using different pulse shapes such as Return to zero (RZ), non RZ (NRZ), compressed spectrum RZ (CSRZ), Differential phase shift keying (DPSK) is proposed. Use of reflective semiconductor optical amplifier (RSOA) has been proposed for upstream modulation to make system cost efficient. 2-channel downstream and 2-channel upstream wavelengths are used to exhibits total symmetrical data rate of 10 Gbps. Results revealed that proposed system can support 10 Gbps data rate up to 20 km

Research Progress of Monolithic Integrated DFB Laser Arrays for Optical Communication

Photonic integrated circuits (PICs) play a leading role in modern information and communications technology. Among the core devices in PICs is the distributed feedback (DFB) multi-wavelength semiconductor laser array. Multi-wavelength semiconductor laser arrays can be integrated on a single chip and have the advantages of high stability, good single-mode performance, and narrow line width. The wavelength tuning range has been expanded through the design of the DFB laser array, which is an ideal light source for wavelength-division multiplexing systems. The preparation of DFB laser arrays with a large number of channels, ease of mass production, and accurate emission wavelengths has become an important field of research. The connection methods of lasers in DFB laser arrays are introduced systematically and the current methods of manufacturing multi-wavelength DFB laser arrays covering the perspective of technical principles, technical advantages and disadvantages, main research progress, and research status are summarized.

Ultra-Broadband Surface-Normal Coherent Optical Receiver with Nanometallic Polarizers

A coherent receiver that can demodulate high-speed in-phase and quadrature signals of light is an essential component for optical communication, interconnects, imaging, and computing. Conventional waveguide-based coherent receivers, however, exhibit large footprints, difficulty in coupling a large number of spatial channels efficiently, and limited operating bandwidth imposed by the waveguide-based optical hybrid. Here, we present a surface-normal coherent receiver with nanometallic-grating-based polarizers integrated directly on top of photodetectors without the need for an optical hybrid circuit. Using a fabricated device with the active section occupying a 70-{\mu}m-square footprint, we demonstrate demodulation of high-speed (up to 64 Gbaud) coherent signals in various formats. Moreover, ultra-broadband operation from 1260 nm to 1630 nm is demonstrated, thanks to the wavelength-insensitive nanometallic polarizers. To our knowledge, this is the first demonstration of a surface-normal homodyne optical receiver, which can easily be scaled to a compact two-dimensional arrayed device to receive highly parallelized coherent signals.

High efficiency CO2 sorption property of Li4SiO4 sorbent pebbles via a simple rolling ball method

At present, the Li4SiO4 sorbents have been getting widespread attention for mitigating the release of CO2 gas owing to its stable cyclic property, higher capturing ability, and lower regeneration temperatures. In this work, a facile rolling ball method is first proposed to fabricate Li4SiO4 sorbent pebbles, which overcomes the low production efficiency, poor adsorption stability, and high production cost adopted in the previous literature. In the rolling ball process, the spray granulation process was involved to decrease the specific surface area of ceramic powder, which makes it easier for powder self-agglomerate to form pebbles via the centrifugal force with the assistance of PVA polymer solution. Moreover, the phase composition, the specific surface area, the shaping principle, and the microstructure of Li4SiO4 sorbent pebbles were studied, respectively. The result shows that the Li4SiO4 pebbles sintered at 900 °C for 2 h present a superior comprehensive performance with a homogeneous diameter of 1.2 mm, good sphericity of 0.95, high crushing load of 65 N, and suitable porosity of 6.28 %. Compared with Li4SiO4 powder, the spherical pebbles performed superior CO2 adsorption ability (0.304 g CO2/g sorbent) and excellent cyclic stability in a 100% CO2 environment owing to its large number of uniform pores channels produced by binder solution at high temperature. Therefore, the rolling ball process is a potential method for the batch production of Li4SiO4 pebbles to capture CO2 stably in the future.