Bridge Length Research Articles

A Rapid, SuperSelective Method for Detection of Single Nucleotide Variants in Caenorhabditis elegans.

With the widespread use of single nucleotide variants generated through mutagenesis screens and genome editing technologies, there is pressing need for an efficient and low-cost strategy to genotype single nucleotide substitutions. We have developed a rapid and inexpensive method for detection of point mutants through optimization of SuperSelective (SS) primers for end-point PCR in Caenorhabditis elegans. Each SS primer consists of a 5′ “anchor” that hybridizes to the template, followed by a noncomplementary “bridge,” and a “foot” corresponding to the target allele. The foot sequence is short, such that a single mismatch at the terminal 3′ nucleotide destabilizes primer binding and prevents extension, enabling discrimination of different alleles. We explored how length and sequence composition of each SS primer segment affected selectivity and efficiency in various genetic contexts in order to develop simple rules for primer design that allow for differentiation between alleles over a broad range of annealing temperatures. Manipulating bridge length affected amplification efficiency, while modifying the foot sequence altered discriminatory power. Changing the anchor position enabled SS primers to be used for genotyping in regions with sequences that are challenging for standard primer design. After defining primer design parameters, we demonstrated the utility of SS primers for genotyping crude C. elegans lysates, suggesting that this approach could also be used for SNP mapping and screening of CRISPR mutants. Further, since SS primers reliably detect point mutations, this method has potential for broad application in all genetic systems.

Numerical Investigation of Effect of Rock Bolt Angle on Shear Behavior of Rock Bridges

In this work, the effect of rock bolt angle on the shear behavior of Rock Bridges is investigated using the particle flow code in two dimensions (PFC2D) for three different Rock Bridge lengths. Firstly, the calibration of PF2D is performed to reproduce the gypsum sample. Then the numerical models with the dimensions of 100 mm * 100 mm are prepared. The Rock Bridge is created in the middle of the model by removal of the narrow bands of discs from it. The uniaxial compressive strength of the Rock Bridge is 7.4 MPa. The Rock Bridge lengths are 30 mm, 50 mm, and 70 mm. The rock bolt is calibrated by a parallel bond. The tensile strength of the simulated rock bolt is 360 MPa.One rock bolt is implemented in the Rock Bridge. The rock bolt angles related to the horizontal axis are the changes from 0 to 75 degrees. Totally, 18 models are prepared. The shear test condition is added to the models. The normal stress is fixed at 2 MPa, and the shear load is added to the model till failure occurs. The results obtained show that in a fixed rock bolt angle, the tensile crack initiates from the joint tip and propagates parallel to the shear loading axis till coalescence to rock bolt. In a constant Rock Bridge length, the shear strength decreases with increase in the rock bolt angle. The highest shear strength occurs when the rock bolt angle is 0°.

DFT calculations: Bridged-azo working with visible light

To reduce the damage from UV light and develop biocompatible visible light driven azobenzene-based photo-switches for biomedical applications, bridged azobenzene derivatives were designed and systematically studied by density functional theory (DFT). The influence of bridge length on geometric structures, absorption spectra and photoisomerization mechanism were investigated. DFT calculations demonstrated that bridged azobenzene derivative with one carbon atom (C1) and two carbon atoms (C2) were optimal candidate for visible light driven photo-switches in this work. Furthermore, the bridge has not changed the main isomerization of azobenzene, i.e. the torsion path.

The VMC survey

Context. The Magellanic Clouds are a nearby pair of interacting dwarf galaxies and satellites of the Milky Way. Studying their kinematic properties is essential to understanding their origin and dynamical evolution. They have prominent tidal features and the kinematics of these features can give hints about the formation of tidal dwarfs, galaxy merging and the stripping of gas. In addition they are an example of dwarf galaxies that are in the process of merging with a massive galaxy. Aims. The goal of this study is to investigate the kinematics of the Magellanic Bridge, a tidal feature connecting the Magellanic Clouds, using stellar proper motions to understand their most recent interaction. Methods. We calculated proper motions based on multi-epoch Ks-band aperture photometry, which were obtained with the Visible and Infrared Survey Telescope for Astronomy (VISTA), spanning a time of 1−3 yr, and we compared them with Gaia Data Release 2 (DR2) proper motions. We tested two methods for removing Milky Way foreground stars using Gaia DR2 parallaxes in combination with VISTA photometry or using distances based on Bayesian inference. Results. We obtained proper motions for a total of 576 411 unique sources over an area of 23 deg2 covering the Magellanic Bridge including mainly Milky Way foreground stars, background galaxies, and a small population of possible Magellanic Bridge stars (< 15 000), which mostly consist of giant stars with 11.0 < Ks < 19.5 mag. The first proper motion measurement of the Magellanic Bridge centre is 1.80 ± 0.25 mas yr−1 in right ascension and −0.72 ± 0.13 mas yr−1 in declination. The proper motion measurements of stars along the Magellanic Bridge from the VISTA survey of the Magellanic Cloud system (VMC) and Gaia DR2 data confirm a flow motion from the Small to the Large Magellanic Cloud. This flow can now be measured all across the entire length of the Magellanic Bridge. Conclusions. Our measurements indicate that the Magellanic Bridge is stretching. By converting the proper motions to tangential velocities, we obtain ∼110 km s−1 in the plane of the sky. Therefore it would take a star roughly 177 Myr to cross the Magellanic Bridge.

Seismic fragility analysis of reinforced concrete piers of steel box girder bridges: A parametric study

The purpose of this paper is to investigate the influence of typical parameters on seismic fragility curves of reinforced concrete (RC) piers of continuous steel box girder bridges. Typical parameters considered include the pier heights, pier section types, and total length of bridges. Twenty recorded ground motions from historic seismic events are randomly selected for fragility analyses. The finite element analysis program, OpenSees, is employed to perform nonlinear dynamic analyses of the bridges. A set of damage states of bridge piers is proposed based on the damage index, which is based on the drift ratio of the pier. Fragility curves of piers are eventually generated using maximum likelihood estimation. The numerical analysis results show that the bridges with shorter piers are less vulnerable to earthquakes than those with higher piers. Moreover, the wall pier types have significantly improved seismic performance compared with the other types. The fragility analysis results also reveal that the total bridge length has notably affected to seismic response of bridges.

Numerical Analysis of Dynamic Responses of Rock Containing Parallel Cracks under Combined Dynamic and Static Loading

Open-pit slopes contain numerous nonpenetrating, intermittent joints which maintain stability under blasting operations. The tip dynamic response coefficient (DRC) of parallel cracks in a typical rock mass under combined dynamic and static loading conditions was calculated in this study based on the superposition principle. The dynamic response law of the intermittent joint in the slope under blasting was determined accordingly. The influence of many factors (the disturbance amplitude of dynamic load, the lateral confining pressure, the length of rock bridge, the length between cracks, the staggered distance between cracks, and the crack inclination angle) on the dynamic response was theoretically analyzed as well. The ABAQUS numerical assessments were conducted on simulation models with parallel cracks under combined dynamic and static loading conditions. The results show that a larger dynamic load amplitude and smaller crack inclination angle/confining pressure result in greater Type II dynamic strengthening effect on the crack tip. When the length of the rock bridge between cracks (s) is smaller than the half length of the crack (a), the dynamic strengthening effect at the crack tip weakens gradually with increase ins; whens/a≥1, the strengthening effect is almost unchanged. With the increase in the staggered distance between cracks (h), the dynamic strengthening effect of the crack tip weakens at first and then strengthens; the strengthening effect is weakest whenh/a=0.4; the crack propagation under combined dynamic and static loading is the most sensitive to the lateral confining pressure (σ3) and is the least sensitive to the inclination angle of the cracks (α). Theoretical results are validated by comparison with numerical simulation results. Such information regarding the dynamic response law of the parallel cracks in rock masses under dynamic and static loading conditions is conducive to further research on the mesofailure mechanism of open-pit mine jointed rock slopes under blasting operations.

Chelate ring size effects of Ir(P,N,N) complexes: Chemoselectivity switch in the asymmetric hydrogenation of α,β-unsaturated ketones

A novel, highly modular approach has been developed for the synthesis of new chiral P,N,N ligands with the general formula Ph2P(CH3)CH(CH2)mCH(CH3)NHCH2CH2(CH2)nN(CH3)2 and Ph2P(CH3)CHCH2CH(CH3)NHCH2(CH2)n-2-Py (m, n = 0, 1). The systematic variation of their PN and NN backbone led to the conclusion that the activity, chemo- and enantioselectivity in the hydrogenation of α,β-unsaturated ketones are highly dependent on the combination of the two bridge lengths. It has been found that a minor change in the ligand's structure, i. e. varying the value of m from 1 to 0, can switch the chemoselectivity of the reaction, from 80% CO to 97% CC selectivity.

Wastewater treatment and bioelectricity production in microbial fuel cell: salt bridge configurations

This study obtained the maximum pollutant reduction and power production from the dairy industry wastewater using double-chambered salt bridge microbial fuel cell by the Taguchi method. The maximum removal of chemical oxygen demand from dairy industry wastewater was found to be 89.7% in double-chambered salt bridge microbial fuel cell. Similarly, the current, voltage, power, current density and power density obtained in double-chambered salt bridge microbial fuel cell from dairy industry wastewater were 17.28 mA, 815.32 mV, 14.09 mW, 1309.09 mA/m2 and 1067.33 mW/m2, respectively. The maximum removal of chemical oxygen demand and power production was observed for the process parameters viz., 1 M KCl concentration, 10% agarose concentration, and 0.05 m salt bridge. It may be pointed out from the analysis of variance that the order of prevailing process parameters was agarose concentration followed by KCl molar concentration and salt bridge length for getting the maximum pollutants reduction and power production from dairy industry wastewater using double-chambered salt bridge microbial fuel cell. The other pollutants viz., TSS, TDS, BOD, COD, nitrate, phosphate, sulphate, chloride, ammonia, and oil and grease in a dairy industry wastewater also reduced to the maximum for the best-optimized process parameters of 1 M KCl concentration, 10% agarose concentration, and 0.05 m salt bridge. The regression model obtained in this study was utilized to select the appropriate combination of process parameters for obtaining the required maximum reduction of pollutants and simultaneous power production. Thus, this study suggested that double-chambered salt bridge microbial fuel cell can be performed well for maximum pollutant reduction and simultaneous power production for the appropriate process parameters value from any wastewater.

Variable-Length Ester-Based Staples for α-Helical Peptides by Using A Double Thiol-ene Reaction.

A novel peptide stapling method effected by a double thiol-ene reaction between two cysteine residues and a divinyl diester to access stapled peptides with enhanced cell permeability is reported. This diverse chemical tool kit provides facile access to stapled peptides with varying bridge lengths. Stapled Axin mimetics were synthesised by using this stapling method resulting in improved α-helicity relative to the unstapled peptide. Cell penetrating stapled analogues of the SIGK peptide that targets the protein-protein interaction hotspot of Gβγ proteins were also synthesised that exhibited a moderate increase in α-helicity and were cell permeable. This chemoselective peptide stapling method is highly amenable as a facile method to easily modify synthetic α-helical peptides to target intracellular proteins.

ATP-powered molecular recognition to engineer transient multivalency and self-sorting 4D hierarchical systems

Biological systems organize multiple hierarchical structures in parallel, and create dynamic assemblies and functions by energy dissipation. In contrast, emerging artificial non-equilibrium self-assembling systems have remained relatively simplistic concerning hierarchical design, and non-equilibrium multi-component systems are uncharted territory. Here we report a modular DNA toolbox allowing to program transient non-equilibrium multicomponent systems across hierarchical length scales by introducing chemically fueled molecular recognition orchestrated by reaction networks of concurrent ATP-powered ligation and cleavage of freely programmable DNA building blocks. Going across hierarchical levels, we demonstrate transient side-chain functionalized nucleic acid polymers, and further introduce the concept of transient cooperative multivalency as a key to bridge length scales to pioneer fuel-driven encapsulation, self-assembly of colloids, and non-equilibrium transient narcissistic colloidal self-sorting on a systems level. The fully programmable and functionalizable DNA components pave the way to design chemically fueled 4D (3 space, 1 time) molecular multicomponent systems and autonomous materials.

Impact of mechanical properties of historical masonry bridges on fundamental vibration frequency

The fundamental frequency of a historical monument like a masonry bridge or any other structure provides a better and detailed seismic assessment of its demand to provide protection against unexpected seismic ground motion. On this basis, this paper aims to develop an empirical formulation to fit the ambient vibration frequency of historical masonry bridges using a nonlinear regression model. For this purpose, data series were collected from the literature especially focused on both ambient vibration measurement and finite element models of historical masonry bridges modeled on a full scale to get the first global natural frequency. The first approach is to forecast the natural vibration frequency by using only physical characteristics of the historical masonry bridges obtained from the literature-based experimental ambient vibration frequency data. The second approach consists of forecasting the first natural vibration frequency considering the unit weight and elasticity modulus of the dominant construction material based on the homogenization approach. In addition to mechanical characteristics, physical properties of historical masonry bridges were used, such as the length, height, width, and Main Arch Span (MAS) length of the masonry bridge, to predict the first natural vibration frequency. Among the proposed equations, a maximum accuracy of 58% was reached with the literature-based experimental approach. Moreover, an empirical formulation with 81% accuracy was proposed by using both physical characteristics and mechanical properties of the bridges on the basis of finite element model results. Also, this study highlights that this accuracy decreases to 35% if the modulus of elasticity and unit weight are ignored. In addition, the developed formulations are compared with other empirical formulations using the Mean Square Error (MSE), as a measure of the average of the squares of the errors. Consequently, the smallest MSE value of 1.95 was obtained with the proposed equation, whose accuracy was 81% in this study.

Three-dimensional prediction of nose morphology in Chinese young adults: a pilot study combining cone-beam computed tomography and 3dMD photogrammetry system.

The nose is the most prominent part of the face and is a crucial factor for facial esthetics as well as facial reconstruction. Although some studies have explored the features of external nose and predicted the relationships between skeletal structures and soft tissues in the nasal region, the reliability and applicability of methods used in previous studies have not been reproduced. In addition, the majority of previous studies have focused on the sagittal direction, whereas the thickness of the soft tissues was rarely analyzed in three dimensions. A few studies have explained the specific characteristics of the nose of Chinese individuals. The aim of this study was to investigate the relationship between the hard nasal structures and soft external nose in three dimensions and to predict the morphology of the nose based on hard-tissue measurements. To eliminate the influence of low resolution of CBCT and increase the accuracy of measurement, three-dimensional (3D) images captured by cone-beam computed tomography (CBCT) and 3dMD photogrammetry system were used in this study. Twenty-six measurements (15 measurements for hard tissue and 11 measurements for soft tissue) based on 5 craniometric and 5 capulometric landmarks of the nose of 120 males and 120 females were obtained. All of the subjects were randomly divided into an experimental group (180 subjects consisting of 90 males and 90 females) and a test group (60 subjects consisting of 30 males and 30 females). Correlation coefficients between hard- and soft-tissue measurements were analyzed, and regression equations were obtained based on the experimental group and served as predictors to estimate nasal morphology in the test group. Most hard- and soft-tissue measurements appeared significantly different between genders. The strongest correlation was found between basis nasi protrusion and nasospinale protrusion (0.499) in males, and nasal height and nTr-nsTr (0.593) in females. For the regression equations, the highest value of R2 was observed in the nasal bridge length in males (0.257) and nasal tip protrusion in females (0.389). The proportion of subjects with predicted errors < 10% was over 86.7% in males and 70.0% in females. Our study proved that a combined CBCT and 3dMD photogrammetry system is a reliable method for nasal morphology estimation. Further research should investigate other influencing factors such as age, skeletal types, facial proportions, or population variance in nasal morphology estimation.

Analysis of Crack Propagation Characteristics of Rock-like Material with Double Closed Cracks Under Uniaxial Compression

In order to explore the influence of the length and dip angle of the rock bridge on crack initiation, propagation and coalescence, based on the rock-like material uniaxial compression laboratory test, the particle flow program PFC2D was used to simulate the uniaxial compression of rock-like specimens with double prefabricated closed cracks, and the strength characteristics and crack propagation and coalescence laws of specimens with different prefabricated closed cracks were obtained. The numerical results showed that: Changing the length of the rock bridge and keeping the dip angle constant, when the length of the rock bridge was 13 mm, the double cracks had 2 penetrations, and the other lengths had only 1 penetration. As the length of the rock bridge increased, the peak stress appeared to increase first and then decrease, while the crack initiation stress did not change much. Changing the dip angle of the rock bridge and keeping the length constant, when the rock bridge dip angle was − 75° and − 15°, there were 3 penetrations; when the rock bridge dip angle was − 45°, there were 4 penetrations; when the rock bridge dip angle was 15°, 45° and 75°, only 1 penetration was formed. As the dip angle of the rock bridge increased, the peak stress appeared to increase first and then decrease and then increase, and the crack initiation stress appeared to decrease first and then increase.

New Dicationic Quinolinium Ionic Liquids for Capillary Gas Chromatography

Highly polar capillary columns with liquid stationary phases (LSPs) based on dicationic quinolinium ionic liquids (ILs) are studied. These ILs are characterized by high polarity and strong dipole–dipole and π–π interactions in a linear free energy relationship model, and can separate complex mixtures (containing aromatic hydrocarbons, phenols, catechols, and hydroquinones) that are problematic for columns with conventional LSPs. It is shown that the high thermal stability of dicationic quinolinium ILs allows to perform chromatographic separation up to a temperature of at least 300°C, which is impossible for any conventional polar and highly polar LSPs. The thermal stability of the studied LSPs is virtually independent of the structure of a dicationic quinolinium IL and the length of an alkyl bridge.

Bridge flexural rigidity calculation using measured drive-by deflections

This paper uses simulated deflections on a bridge taken from a model of an instrumented moving vehicle in an attempt to back calculate the distribution of flexural rigidity along the bridge length and hence to evaluate bridge condition. Eight sensors are simulated at different locations on the vehicle. It is assumed that measured deflections are absolute, i.e. they have been corrected for vehicle motion and that the characteristics of the vehicle are known. The unit load theorem is used to relate the measured deflections to the reciprocals of flexural rigidity at every location on the bridge. A Blackman window filter is used to regularise the problem and to improve the conditioning of an ill-conditioned system of equations. In addition, a moving average filter is used to reduce the influence of noise and dynamics, which are sources of inaccuracy in this study. This method is shown to give good results in indicating the presence and intensity of bridge damage and contains some weak information on location.

Excitation-Wavelength-Dependent Photoinduced Electron Transfer in a π-Conjugated Diblock Oligomer.

Control of photoinduced electron transfer through selective excitation of a π-conjugated diblock oligomeric system featuring tetrathiophene (T4) and tetra(phenylene ethynylene) (PE4) donor blocks capped with a naphthalene diimide (NDI) acceptor (T4PE4NDI) is demonstrated. Each π-conjugated oligomeric segment has its own discrete ionization potential, electron affinity, and optical band gap which provides an absorption profile that has specific wavelengths that offer selective excitation of the PE4 and T4 blocks. Therefore, T4PE4NDI can be selectively excited to form a charge-separated state via ultrafast photoinduced electron transfer from the PE4 segment to NDI when excited at 370 nm, but it does not produce a charge-separated state when excited at 420 nm (T4). Picosecond transient absorption techniques were performed to probe the excited-state dynamics, revealing ultrafast charge separation (∼4 ps) occurring from the PE4 segment to NDI when excited at 370 nm, followed by delocalization of the hole over the T4 segment. On the contrary, electron transfer is suppressed with excitation at longer wavelengths (≥420 nm), where the spectrum is dominated by the T4 unit. The rate of electron transfer and charge recombination was investigated versus the length of the PE bridge unit in oligomers featuring zero and two PE units (T4NDI and T4PE2NDI). The rate of charge recombination decreases from 1.2 × 1011 to 1.0 × 109 s-1 with increasing bridge length between the T4 and NDI components (T4NDI to T4PE4NDI). Furthermore, wavelength-dependent photoinduced electron transfer was not observed in either T4NDI or T4PE2NDI due to an insufficient PEn bridge length. This work demonstrates the ability to use optical wavelength to control photoinduced electron transfer in a fully π-conjugated oligomer.

Imidazo[1,2-a]pyridine as an Electron Acceptor to Construct High-Performance Deep-Blue Organic Light-Emitting Diodes with Negligible Efficiency Roll-Off.

Two novel bipolar deep-blue fluorescent emitters, IP-PPI and IP-DPPI, featuring different lengths of the phenyl bridge, were designed and synthesized, in which imidazo[1,2-a]pyridine (IP) and phenanthroimidazole (PI) were proposed as an electron acceptor and an electron donor, respectively. Both of them exhibit outstanding thermal stability and high emission quantum yields. All the devices based on these two materials showed negligible efficiency roll-off with increasing current density. Impressively, non-doped organic light-emitting diodes (OLEDs) based on IP-PPI and IP-DPPI exhibited external quantum efficiencies (EQEs) of 4.85 % and 4.74 % with CIE coordinates of (0.153, 0.097) and (0.154, 0.114) at 10000 cd m-2 , respectively. In addition, the 40 wt % IP-PPI doped device maintained a high EQE of 5.23 % with CIE coordinates of (0.154, 0.077) at 10000 cd m-2 . The doped device based on 20 wt % IP-DPPI exhibited a higher deep-blue electroluminescence (EL) performance with a maximum EQE of up to 6.13 % at CIE of (0.153, 0.078) and maintained an EQE of 5.07 % at 10000 cd m-2 . To the best of our knowledge, these performances are among the state-of-the art devices with CIEy ≤0.08 at a high brightness of 10000 cd m-2 . Furthermore, by doping a red phosphorescent dye Ir(MDQ)2 (MDQ=2-methyldibenzo[f,h]quinoxaline) into the IP-PPI and IP-DPPI hosts, high-performance red phosphorescent OLEDs with EQEs of 20.8 % and 19.1 % were achieved, respectively. This work may provide a new approach for designing highly efficient deep-blue emitters with negligible roll-off for OLED applications.

Thermogravimetric and calorimetric dataset for extra heavy crude asphaltenes obtained by electrodeposition in the presence of magnetic field and magnetic nanoparticles.

A better understanding of the behavior of asphaltenes is paramount for improving processes related to heavy crude oil, such as transport. Previous research has studied its aggregation [1], as well as its average chemical structure [2]. But, of course, this expands beyond the realm of oil, as other applications are affected by asphaltenes [3]. This work presents the collected data from electrodeposited asphaltenes. We used an H-type cell, with a capacity of 300 ml, and a bridge length of 30 cm. A constant voltage of 300 Vs (DC) was applied to steel electrodes of 3 cm × 9 cm. The generated electric field was of 1000 V/m, (E = Voltage (V)/distance (m)). The previously described assembly was modified, adding a dynamic magnetic field of 4 mT and 1% w/w of magnetic nanoparticles. Afterward, we analyzed deposits at the anode and cathode using the DSC-TGA Netzsch 449 F1 equipment. Through it, we gathered the calorimetric (DSC) and thermogravimetric (TGA) data. Moreover, the Proteus analysis software was used to generate DTGA data from the TGA values. The same procedure and analysis were repeated for asphaltenes of the same oil but obtained through precipitation with heptane. Our data may pave the road for research seeking to improve the extraction, transport and refining of heavy crudes. The reason: asphaltenes are responsible for the high viscosity of hydrocarbons. So, thermal processes are customary. Our thermogravimetric data may prove fruitful in the improvement and development of said processes.

Wave propagation and diffraction through non-persistent rock joints: An analytical and numerical study

The presence of joints, persistent and non-persistent ones, within rock masses has a significant influence on wave propagation. However, previous studies were limited to wave propagation across persistent joints. To understand P-wave propagation and diffraction across non-persistent jointed rock masses, theoretical and numerical analyses were carried out in this paper. A theoretical method was introduced to investigate P-wave propagation and diffraction across a single non-persistent joint, by combining the displacement discontinuity method and the angular diffraction theory. With this proposed theoretical method, analytical solutions for wave propagation and diffraction across a single non-persistent joint were derived. After validation through comparison with theoretical solutions, FEM-based numerical simulations were carried out to study wave propagation and diffraction across multiple parallel non-persistent joints. Results showed that the wave field after passing through a single non-persistent joint is two-dimensional, which is different from plane wave propagation across the persistent joint. Obvious enhancement regions and suppression regions exist, which are determined by the combined effect of wave transmission across the joint segments and wave diffraction at the rock bridges. In addition, spatial parameters including rock bridge length, joint segment length, joint spacing, propagation distance and joint dislocation have a remarkable influence on wave propagation across multiple non-persistent joints. The findings in this paper could fill in the gap between wave propagation across persistent and non-persistent joints and thus facilitate a better understanding of wave propagations across discontinuous rock masses.

Exploiting deep learning network in optical chirality tuning and manipulation of diffractive chiral metamaterials

Abstract Deep-learning (DL) network has emerged as an important prototyping technology for the advancements of big data analytics, intelligent systems, biochemistry, physics, and nanoscience. Here, we used a DL model whose key algorithm relies on deep neural network to efficiently predict circular dichroism (CD) response in higher-order diffracted beams of two-dimensional chiral metamaterials with different parameters. To facilitate the training process of DL network in predicting chiroptical response, the traditional rigorous coupled wave analysis (RCWA) method is utilized. Notably, these T-like shaped chiral metamaterials all exhibit the strongest CD response in the third-order diffracted beams whose intensities are the smallest, when comparing up to four diffraction orders. Our comprehensive results reveal that by means of DL network, the complex and nonintuitive relations between T-like metamaterials with different chiral parameters (i. e., unit period, width, bridge length, and separation length) and their CD performances are acquired, which owns an ultrafast computational speed that is four orders of magnitude faster than RCWA and a high accuracy. The insights gained from this study may be of assistance to the applications of DL network in investigating different optical chirality in low-dimensional metamaterials and expediting the design and optimization processes for hyper-sensitive ultrathin devices and systems.