537 results about "Adsorption energy" patented technology

The invention relates to a Bayesian optimization-based ruthenium, tin and indium doped lithium-rich manganese-based electrocatalyst screening method, electronic equipment and a storage medium, and the method comprises the following steps: generating a uniform ruthenium, tin and indium doped lithium-rich manganese-based material data set based on Dirac distribution, and generating a doped structure through element replacement; calculating hydroxyl adsorption energy and extracting descriptors to construct a data set to train a machine learning model; performing cell expansion operation on the initial electrocatalyst structure, predicting hydroxyl adsorption energy of each adsorption site, and mapping adsorption energy deviation into current density characterization component activity in combination with Boltzmann distribution; selecting an initial component based on the obtained component activity information, and constructing an agent model by utilizing Bayesian optimization; and determining a to-be-sampled component through an expectation improvement strategy, sampling and updating the agent model, and outputting an optimal doping proportion. Compared with the prior art, the method has the advantages that the ruthenium, tin and indium doped lithium-rich manganese-based electrocatalyst with excellent catalytic performance can be efficiently screened out, and the experiment cost is reduced.

The invention discloses an intelligent catalyst design method and system based on multi-objective optimization and deep learning, and aims to solve the problems of limitation of single-objective optimization, high computing resource consumption and the like in traditional catalyst design. According to the method, graph data are constructed by fusing atomic-scale and macroscopic features, multi-target prediction is carried out by utilizing a multi-task graph neural network (GNN), and collaborative optimization of adsorption energy and stability loss is realized by combining an NSGA-II multi-target optimization algorithm and a dynamic weight adjustment strategy of Bayesian optimization. A closed loop is verified through active learning and virtual experiments, candidate materials are dynamically selected, the model is updated, and the efficiency and precision of material design are remarkably improved. The method is suitable for rapid discovery and optimization of the high-performance catalyst, and has a wide application prospect.

The invention relates to the technical field of researching or analyzing materials by testing chemical or physical properties of materials, in particular to an intelligent analysis method for corrosivity of sulfide molecules in transformer oil. The influence of the oil environment on the adsorption energy is simulated and corrected in combination with molecular dynamics, a microscopic parameter database is constructed, and a corrosion risk grade classification rule and a generation rate prediction model are established. Oil data are collected in real time and input into the model to output a dynamic risk level, and a circulation rate adjusting or corrosion inhibitor adding instruction is triggered. Model parameters are regularly corrected by combining a closed-loop feedback mechanism, and a microscopic database is expanded, so that transfer learning prediction of unknown sulfide corrosion behaviors is realized. According to the method, the limitation of an existing single experiment condition is broken through, the relevance between a microcosmic molecular mechanism and a macroscopic corrosion behavior is dynamically analyzed, and the prediction precision under the multi-factor coupling effect is improved.

The invention discloses a method for predicting the catalytic activity of a bimetallic supported catalyst in a CO2RR reaction, and belongs to the technical field of computational material science and catalytic materials. The method comprises the following steps: constructing a spatial configuration of TMCu / W2CO2 with double metal atoms (TMCu) loaded on the surface of W2CO2; a relaxation configuration with the distance between TM atoms and Cu atoms smaller than 3.0 is screened out; calculating the adsorption energy Eads of adsorbing CO2 at different sites, and screening out a catalyst model with strong adsorption capacity on reactants; the optimal path in the reaction process is determined, the limiting potential UL of the surface of the catalyst is calculated based on the maximum value of the Gibbs free energy change delta G in the optimal path, and the UL is used for predicting the activity of different TMCu / W2CO2 surface electrocatalysis CO2RR. According to the method, screening standards taking the distance between double metal atoms, the binding energy of double metals, the adsorption energy of CO2 and the limited potential as the core are established, a low-efficiency system is rapidly eliminated, the experiment trial and error cost is reduced, and the development efficiency of the catalyst is improved.

The invention discloses a VASP-based metal surface adsorption energy differential charge analysis method and system, and relates to the technical field of metal surface adsorption energy differential charge analysis, and the method comprises the steps: carrying out the modeling and standardization processing of a metal surface-adsorbate system, and obtaining a standard data set; training the standard data set by adopting a deep neural network model to obtain a prediction model, inputting the standard data set into the prediction model, and outputting a prediction result; dynamically adjusting VASP calculation parameters by adopting an environmental effect correction method, and generating a VASP input file based on a prediction result and an actual operation condition; performing high-precision energy and electron density calculation on the input file by adopting a first principle calculation tool VASP to obtain electron density distribution; performing differential operation on the electron density distribution to obtain a differential charge density map; and performing three-dimensional rendering on the differential charge density map by adopting a visual analysis tool to obtain a visual analysis result.

The invention belongs to the technical field of chemical catalysis, and particularly relates to a preparation method of an alkali metal cation modified cobalt-nitrogen-carbon monatomic catalyst and application of the catalyst in electrosynthesis of hydrogen peroxide. The Co-N-C / X catalyst is obtained by taking a cobalt-containing compound as a metal source, mixing the metal source with a nitrogen-containing organic matter and a carbon material, performing rotary evaporation, grinding and high-temperature pyrolysis in an inert atmosphere, performing acid washing with strong acid to construct surface defects, and finally performing stirring adsorption with an alkali metal salt solution, suction filtration and drying. Alkali metal cations are physically adsorbed and anchored on the surface and interface of the Co-N-C catalyst instead of being dissolved in a solution, so that the electronic structure of Co active sites and the adsorption energy of the * OOH intermediate are optimized, and the problem of separation of alkali metal and a product is solved. When the catalyst is used for electro-catalytic oxygen reduction reaction, the H2O2 selectivity reaches up to 98%, the preparation process is simple, the cost is low, large-scale production can be realized, and the problems that the traditional method is high in energy consumption and large in pollution and the existing catalyst is insufficient in selectivity are solved.

The invention discloses a multi-component catalyst active site prediction system and method fused with quantum embedding, and relates to the technical field of catalysis and material informatics, and the system comprises a structure and site enumeration module which generates candidate sites; the adaptive quantum embedding calculation module obtains key reaction microcosmic parameters; the unified site fingerprint and feature engineering module constructs and fuses standard site fingerprints; the physical consistency machine learning module predicts adsorption energy and other parameters and uncertainty thereof; the active learning and sample selection module selects a high-value sample optimization model; the microdynamics evaluation module calculates index values such as activity; and the multi-objective optimization and sorting module generates an optimization sorting list. According to the method, the unification of calculation precision and efficiency is realized, the problem of non-unification of locus characterization is solved, the model interpretability and extrapolation reliability are improved, and the comprehensive evaluation and optimization sorting of multi-target performance are completed.

According to the COF nanofiber membrane, the preparation method thereof and the application of the COF nanofiber membrane to uranium enrichment, adsorptive COF powder is synthesized through a solvothermal method, the maximum uranium enrichment amount of the adsorptive COF powder can reach 520 mg / g under the condition that the pH of the adsorptive COF powder is equal to 5, and the adsorptive COF powder is processed into the COF nanofiber membrane through an electrostatic spinning method. The COF nanofiber membrane prepared by the method can retain the properties of COF powder, not only has adsorption capacity to U (VI), but also has photocatalytic reaction capacity, and can convert soluble U (VI) into insoluble uranium and release additional adsorption sites, so that the enrichment capacity of a COF material to uranium is improved, and the enrichment efficiency of the COF material to uranium in water reaches 97% or above. In addition, the COF nanofiber membrane is also beneficial to use and recovery, and is more conveniently applied to the fields of uranium-containing wastewater treatment, uranium extraction from seawater and the like.

The invention provides a preparation method of a Ru-based alloyed heterojunction water electrolysis hydrogen production catalyst, and belongs to the technical field of nano materials and electrochemistry. The two-dimensional porous Ru-based alloyed heterojunction electrolytic water hydrogen production catalyst can be prepared at low cost and high efficiency in an air atmosphere by using a ternary molten salt assisted Joule heat rapid calcination process. The water electrolysis hydrogen production catalyst has excellent structure and component advantages, and the two-dimensional porous structure has the advantages that the number of active sites of the catalyst can be increased, and hydrogen can be easily removed in the reaction process. The alloying heterojunction component has the advantages that the variety of Ru active sites can be increased and the synergistic effect of different components can be stimulated by alloying and abundant heterogeneous interfaces. Furthermore, the hydrogen evolution reaction kinetics of the adsorption energy of Ru to an intermediate product is optimized, and excellent alkaline electrolytic water hydrogen evolution performance is shown.

The invention relates to the technical field of waste gas treatment, and particularly discloses a waste gas filtering device which comprises a box body, a supporting plate and an activated carbon box, the supporting plate is arranged in the box body, sleeves are fixedly installed at the four corners of the top of the supporting plate, and movable rods are in sealed sliding connection with the interiors of the sleeves; the top end of the movable rod penetrates through the sleeve and extends to the position above the sleeve, the activated carbon box is arranged at the top end of the movable rod and can extrude the movable rod to move downwards and compress the gas volume in the sleeve, and a square ring pipe and a limiting pipe are arranged in the supporting plate. The waste gas filtering device can relieve the vibration problem in the using process of the device, effectively protect the integrity of activated carbon, adjust the waste gas inlet air volume in a self-adaptive mode, deal with the conditions of uneven waste gas air volume distribution, honeycomb carbon adsorption capacity change and the like, clean dust accumulated at the bottom of honeycomb carbon in time, and improve the service life of the device. Therefore, high efficiency of waste gas filtration is ensured, and the utilization rate of activated carbon is improved.

The invention discloses a multi-scale research method for improving the separation efficiency of impurities in an ultra-pure metal system. The multi-scale research method comprises the following steps that tellurium crystals are prepared through a zone melting method, and purity and crystal face orientation analysis is conducted; simulation analysis is carried out in combination with experimental data, firstly, phase field simulation is used for analyzing conversion of an interface structure and grain competition-driven orientation in the solidification process, then the density functional theory is used for calculating and analyzing adsorption energy of solid phases on different crystal faces at the solid-liquid interface to impurity atoms, and the structure-activity relationship between crystal face orientation and impurity separation efficiency is obtained. Finally, the crystal face and the preferred orientation degree of the tellurium crystal are regulated and controlled through a Bridgman method, and the impurity separation efficiency is improved. By means of the mode, the key factors influencing trace impurity atom separation can be obtained, the universal method for improving the impurity separation efficiency in the ultra-pure metal system is obtained, and development of the non-ferrous metal metallurgy field is promoted.

The invention provides a pavement coating material with tail gas degradation and CO2 adsorption capacities and a preparation method thereof. Epoxy resin is used as a matrix, polyethyleneimine is loaded on fumed silica through an impregnation method to form a CO2 adsorbent, nano titanium dioxide and a long afterglow material are compounded to realize photocatalytic degradation of tail gas pollutants at the same time, the coating curing time is optimized by controlling the addition amount of polyethyleneimine, and the water resistance is ensured; the catalytic activity in a dark environment is maintained through the long afterglow material, and the coating can degrade NOx, CH and CO and adsorb CO2 under weak light and strong light. By balancing the proportion of adsorption and photocatalysis components, the limitation that a traditional material is single in function, high in light dependence and the like is broken through, efficient tail gas purification and CO2 adsorption are still maintained under the dim light / dark condition, the material is suitable for changeable scenes such as the urban road peak period, and a comprehensive solution is provided for road area pollution treatment and carbon neutralization targets.

The invention belongs to the technical field of oil and gas exploitation, and relates to a nanometer desorbing agent for a gas well and a preparation method thereof.The desorbing agent is prepared by using biochar subjected to special pretreatment as a core carrier, loading bimetallic oxide nanoparticles in a specific proportion and carrying out surface modification with an environment-friendly surface active agent. Through the synergistic effect of the nanometer size effect, the catalysis / electron transfer effect of the metal oxide, the physical adsorption and pore transport effect of the biochar and the interfacial tension reduction effect of the surfactant, the adsorption energy barrier of gas molecules such as methane on the rock surface is remarkably reduced, and efficient desorption of the gas molecules is promoted. Meanwhile, all the components and the preparation process are environment-friendly and harmless to a human body.

The invention relates to the field of medical instrument consumables, and discloses an external multifunctional anesthetic gas carbon dioxide absorber which is characterized in that an upper box body is provided with a first carbon dioxide absorption chamber, a second carbon dioxide absorption chamber, an anesthetic gas absorption chamber, a damp-heat exchange chamber, an electronic tag and a gas sampling hole; the lower box body is provided with a gas distribution chamber and a ventilation switch mechanism, the gas inlet channel is communicated with the first carbon dioxide absorption chamber, and the second carbon dioxide absorption chamber and the anesthetic gas absorption chamber are communicated with the gas outlet channel through the damp-heat exchange chamber. Carbon dioxide is absorbed during operation, and anesthetic gas is adsorbed during postoperative resuscitation; sufficient and efficient absorption of carbon dioxide can be ensured, and the color change identification degree is improved; the gas distribution chamber can effectively reduce gas resistance and conduct heat dissipation and cooling, and the damp-heat exchange chamber is arranged, so that the temperature and humidity of circulating gas are effectively regulated and controlled, and the potential dust risk of the gas is blocked.

The utility model provides a multi-layer cold trap device. The multi-layer cold trap device comprises a first shell, a second shell, a third shell, an air inlet pipe and an air outlet pipe, wherein the second shell is arranged in the first shell, and a medium space is formed between the first shell and the second shell. A medium cavity is formed in the third shell, the third shell is arranged in the second shell, and a flowing space is formed between the second shell and the third shell. The air inlet pipe and the air outlet pipe are respectively communicated with the flowing space, so that extracted air can sequentially flow along the air inlet pipe, the flowing space and the air outlet pipe. Low-temperature media are placed in the medium space and the medium cavity at the same time, cold faces are formed on the inner wall of the second shell and the outer wall of the third shell, namely, double cold faces are formed in the flowing space, the area of the cold faces in the flowing space is enlarged, and the contact area of the cold faces and gas flowing through the flowing space is enlarged. Furthermore, gas molecules flowing through the flowing space are captured, the adsorption capacity of the cold trap is improved, and the vacuumizing efficiency is improved.

The invention discloses a handheld oxygen generator in the field of oxygen generation equipment, which comprises an air pump assembly, an air inlet assembly, an air outlet assembly, molecular sieve tanks and an oxygen storage tank, a pressure preparation gas tank is arranged on a gas path structure between the two molecular sieve tanks and the oxygen storage tank, and oxygen-enriched gas adsorbed by the molecular sieve tanks firstly enters the pressure preparation gas tank to be stored and then enters the pressure preparation gas tank to be stored; and after the gas in the pressure preparation gas tank reaches the required pressure, the gas enters the oxygen storage tank. In the oxygen production process, gas can generate standby pressure in the standby pressure gas tank, so that the pressure of the molecular sieve tank is kept in a high-pressure range, the adsorption capacity of the molecular sieve on nitrogen in air is improved, the oxygen content of the oxygen production gas is improved, and the oxygen production amount can still be met under the condition that the filling amount of the molecular sieve is reduced; therefore, the sizes of the molecular sieve tank and the whole oxygen generator are reduced. In addition, oxygen is collected through the pressure preparation gas tank, oxygen is conveyed to the oxygen storage tank after certain pressure preparation is achieved, oxygen in the oxygen storage tank can be promoted to be collected, the pressure is increased, and the oxygen output requirement in the oxygen using state is met.

The invention discloses a method for screening a high-catalytic-activity nitrogen-doped graphene-loaded single-metal-atom ammonia synthesis catalyst, and belongs to the technical field of ammonia synthesis. The method comprises the following steps: constructing an original graphene configuration; constructing a nitrogen-doped graphene configuration; a nitrogen-doped graphene loaded monometal configuration is constructed; the Eform is formed to judge the stability; constructing an adsorption configuration of reactant molecules; analyzing the relaxation configuration to judge the activation degree; the adsorption stability is judged according to the adsorption energy Eads; determining a path of N2 thermal reduction reaction; adopting NEB and Dimer methods to construct a transition state spatial configuration; reaction heat and activation energy are calculated, and activity differences of different catalyst surfaces are analyzed. Based on density functional theory calculation, catalyst screening standards with formation energy, adsorption energy and activation energy barriers as indexes are established, the high-activity catalyst is screened out theoretically, the experiment trial and error cost is reduced, and the catalyst development efficiency is improved.

The invention discloses a rare earth doped zirconium titanium cobalt hydrogen storage material and a preparation method thereof, the chemical general formula of the zirconium titanium cobalt hydrogen storage material is Zr < 0.8 > Ti < 0.2-x > M < x > Co, x is 0-0.05, and M is a rare earth element of which the atomic radius is greater than that of Ti; the preparation method comprises the following steps: sequentially carrying out mixed smelting, crushing and grinding, vacuum treatment and activating treatment on the raw materials to obtain the hydrogen storage material. Rare earth elements are doped in the Zr0. 8Ti0. 2Co alloy, more hydrogen atom transmission channels are triggered through grain boundary and second phase regulation and control, and the diffusion speed of hydrogen atoms can be increased. The doped rare earth element can also reduce hydrogen atom adsorption energy and dehydrogenation performance energy barriers and improve hydrogen absorption and desorption kinetics, meanwhile, the rare earth element can also increase adsorption sites of hydrogen atoms, the hydrogen storage capacity is further improved, and the rare earth element can further optimize the microstructure of the hydrogen storage alloy and regulate and control the electronic structure so as to optimize the kinetics performance.

The invention discloses a screening method of insulating gas decomposition product sensing materials based on machine learning, and relates to the technical field of functional material design and gas sensing. The method provided by the invention comprises the following steps: selecting a first candidate sensing material according to an insulating gas and a decomposition product; doping elements or embedding atoms into a central cavity of the first candidate sensing material to obtain a second candidate sensing material, and constructing a candidate sensing material library; obtaining the most stable adsorption configuration and adsorption energy of gas molecules, constructing feature descriptors, forming an initial data set, and dividing a training set and a test set; constructing and training a model, and evaluating and screening out an optimal model by using a test set; predicting and screening the second candidate sensing material by using the optimal model to obtain a third candidate sensing material; and performing DFT calculation verification and performance index evaluation on the third candidate sensing material, and outputting a final candidate sensing material. The method provided by the invention is high in prediction accuracy and reliability, and a novel sensitive material can be found.

The invention relates to the technical field of separation, and discloses a molecular sieve separation system for medical oxygen production, which comprises an adsorption separation group, a fluid control valve group, a pressure monitoring unit and a self-adaptive control center, the self-adaptive control center executes capacity locking logic and regeneration clamping logic based on fluid impedance fingerprint characteristics, monitoring the actual pressurizing duration of the adsorption pressurizing stage in real time, calculating a deviation value between the actual pressurizing duration and the reference adsorption duration, and generating a primary switching instruction; meanwhile, the real-time residual desorption pressure of the other adsorption bed layer is obtained and compared with a regeneration end point pressure threshold value, a final step sequence switching instruction is output when the conditions are met, and self-adaptive locking of the real adsorption capacity of the molecular sieve is achieved by recognizing the adsorption capacity saturation characteristics and decoupling gas source fluctuation.

The invention relates to an alkali metal gas chamber anti-relaxation self-assembly molecular coating adsorption energy quantification method, which finally realizes the physical quantification of the anti-relaxation coating adsorption energy by establishing a contact angle and surface topography collaborative characterization model and combining an adsorption-desorption dynamic formula, and is characterized by comprising the following steps: 1) establishing a contact angle and surface topography collaborative characterization model; depositing organosilane on a gas chamber glass substrate by adopting a liquid phase self-assembly method to form an anti-relaxation coating sample; step 2, selecting a plurality of measuring points on the anti-relaxation coating sample, dropping a 1 [mu] L ultrapure water liquid drop on each measuring point, determining a polarization retention angle of each measuring point according to the liquid drop height and the liquid drop substrate radius obtained by a contact angle measuring instrument, and scanning a local area of the corresponding measuring point by using an atomic force microscope (AFM), extracting an arithmetic mean value Ra of the surface roughness parameter and a root-mean-square value Rq of the surface roughness parameter as quantitative indexes of the polarization maintaining cross section; and step 3, taking free energy formed by the molecular layer of the coating as coating adsorption energy delta G.

The invention discloses a method for predicting the coverage degree of an H ion negative electrode in a Zn aqueous battery, and relates to the technical field of surface catalysis. In order to solve the defect that in the prior art, it is difficult to accurately predict the coverage degree of H ions on the surface of a Zn negative electrode on a multi-scale level, the technical scheme provided by the invention comprises the steps that a three-dimensional atom structure model of H atoms and a Zn electrode adsorption surface is constructed, formation energy and adsorption energy of the H ions and water molecules are calculated, and a reaction potential energy surface is established; constructing a reaction path and an electron transfer behavior, defining potential related parameters, and outputting reaction rate, current density and coverage data; establishing a phase field dilute material transfer model containing temperature, pH and pressure parameters, and completing material migration and charge distribution calculation; interface physical field parameters are fed back to the microdynamics model to form microcosmic-macroscopic bidirectional data interaction and realize self-consistent convergence; and outputting a coupling model result to obtain multi-scale prediction data. The method is suitable for active site identification and performance prediction in electro-catalytic reaction.

The invention discloses a method for researching the corrosion resistance behavior of zinc alloy based on a first principle. The method comprises the following steps: firstly, retrieving a zinc primitive cell model from a material database and carrying out structure optimization; performing crystal face cutting, cell expansion and re-structure optimization to obtain a zinc plate model; then aluminum atom random replacement doping processing is carried out, and optimization is carried out to obtain a doping model; performing static self-consistent calculation to obtain surface energy, and screening out the most stable doping model; fixing two layers of atoms at the bottom of the most stable doping model, performing chloride ion adsorption calculation and structure optimization, and calculating adsorption energy to determine a most stable adsorption site; and finally, carrying out electronic structure calculation of state density and a work function, and representing the corrosion resistance of the zinc alloy. According to the method, a zinc alloy corrosion micromechanism is deeply analyzed, theoretical guidance is provided for component optimization and corrosion resistance improvement, and compared with a traditional experimental method, the research and development cost and time are remarkably reduced, the research efficiency is improved, and the method has important theoretical and practical application value.

The invention provides a device and a method for reducing exhaust loss by using the pressure of a liquid hydrogen storage tank, and relates to the technical field of liquid hydrogen storage and transportation safety. The device comprises an adsorption storage assembly, a desorption recovery assembly and an adsorption enhancement assembly which are arranged in a gas pillow of the liquid hydrogen storage tank. The adsorption and storage assembly is communicated with the air pillow through a one-way mechanical low-temperature valve, is internally provided with a solid adsorption material and a vacuum heat insulation cylinder, and is used for adsorbing and storing evaporation gas and reducing the tank pressure when the tank pressure is increased; the adsorption enhancing assembly comprises a low-temperature hydrogen regulating valve and a low-temperature heat exchanger, and the throttling effect of high-pressure hydrogen in the tank is used for refrigerating an adsorption material, so that the adsorption capacity of the adsorption material is improved; the desorption recovery assembly heats an adsorption material through an intermediate heater, and controllable release of hydrogen is achieved. According to the invention, the active management of the pressure of the liquid hydrogen storage tank and the efficient recovery of the boil-off gas are realized, the exhaust period is obviously prolonged, the hydrogen loss is reduced, and the storage and transportation economy and safety are improved.

The invention relates to a preparation method and application of an alkali-activated iron tailing geopolymer adsorbent. According to the method, an iron tailing geopolymer is prepared through an alkali activation method, that is, an aluminosilicate structure in iron tailings is destroyed in an alkali activation mode, so that silica tetrahedron and alumina tetrahedron structures of the iron tailings are reconstructed, and a geopolymer material with adsorption capacity is prepared; on the basis, a foaming agent hydrogen peroxide solution is introduced to adjust the performance, and parameters such as modulus, water cement ratio and curing temperature of the alkali activator are respectively adjusted to prepare an optimal sample. The iron tailing geopolymer adsorbent material which is high in adsorption rate and good in stability is obtained, and the effect of adsorbing residual ciprofloxacin in wastewater is remarkable.

The present invention relates to the fields of oil-water separation and sewage treatment, and in particular to a method for preparing an oleophilic ceramsite material for industrial sewage treatment, comprising: (1) weighing blast furnace slag, iron tailings powder, waste activated carbon powder and river sand according to a weight ratio, placing them in a ball mill and fully mixing them to obtain a mixed powder; (2) adding silicon dioxide nano hollow spheres, mixing them, and then adding water glass and fully mixing them to obtain a ceramsite body; (3) placing the prepared ceramsite body in a muffle furnace for staged sintering; (4) preparing a catalyst precursor solution; (5) placing the sintered ceramsite body in a catalyst precursor solution in a vacuum tank, and then acid-washing to remove the silicon dioxide nano hollow spheres to obtain a modified ceramsite; (6) drying the obtained modified ceramsite, and then placing it in an atmosphere furnace for heat preservation to obtain an oleophilic ceramsite. The method obtains a stable oleophilic structure by regulating the electronic structure and optimizing the adsorption energy of the intermediate through the synergistic effect of Fe and Co.

The utility model provides a kind of air purification drying device for bottle blowing, it is related to bottle blowing processing technical field, and it includes: box body;The box body is fixed on bottle blowing equipment, and there is an exhaust pipe welded on the right side of box body, and the exhaust pipe is connected with bottle blowing gas supply pipeline, and filter screen seat is inserted on the box body.The device adopts filter screen and filter box double filtration structure, gas is first intercepted large particle impurities by filter screen, and then passes through filter box filled with filter cotton and activated carbon.Filter cotton can further filter fine particles, and activated carbon can effectively remove odour, harmful gas and other gases by virtue of strong adsorption capacity, and the combination of the two greatly improves the depth and precision of air purification;The base block at the top end of the inner wall of box body is connected with cleaning brush by spring rod, and when pulling filter screen seat, cleaning brush can automatically clean the sundries on filter screen, and spring rod can ensure that cleaning brush is always in close contact with filter screen, even if wear, it can also automatically follow up, reduce manual cleaning frequency, reduce maintenance cost and workload.

The invention discloses a preparation method of a high-efficiency low-temperature carbon monoxide oxidation catalyst, which comprises the following steps: carrying out surface modification on a carrier based on a selected hydrophilic surface modifier or hydrophobic surface modifier so as to regulate and control the adsorption capacity of the carrier on carbon monoxide and oxygen; based on the raw material ratio and the additive amount, the active metal component and the additive are loaded on the modified carrier, the additive amount regulates and controls the electron transfer path, and the raw material ratio regulates and controls the structural stability. Carrying out calcination treatment on the loaded precursor based on the calcination time so as to regulate and control the particle size of the catalyst crystal; and carrying out heat treatment on the calcined catalyst based on the target reaction temperature so as to regulate and control the distribution of active sites. The problem that the catalytic efficiency of a traditional catalyst is reduced due to passivation of active sites in a low-temperature environment can be remarkably solved, and the catalyst is suitable for low-temperature scenes such as mine ventilation and indoor air purification.

The invention discloses a preparation method of low-self-discharge aminated activated carbon for a supercapacitor, and belongs to the technical field of supercapacitors. The preparation method comprises the following steps: by taking commercial activated carbon as a raw material, sequentially adding a catalyst, the activated carbon and an amino reagent into a beaker according to a certain proportion, uniformly mixing, and then putting a uniform mixed solution into a reaction kettle for homogeneous reaction; and after the reaction is completed, washing with deionized water and absolute ethyl alcohol, and drying to obtain the aminated activated carbon. In the system, the introduction of the catalyst induces a cross-coupling reaction, so that the occurrence of side reaction is effectively avoided, and the directional introduction of amino functional groups on the surface of the activated carbon is promoted. The surface charge state is optimized through activated carbon surface amination, the adsorption capacity of activated carbon to charged ions is improved, then self-discharge caused by diffusion-controlled non-Faraday reaction is effectively restrained, when the initial voltage is 3.0 V, after standing is conducted for 40 hours, the voltage retention rate is larger than 76%, and low self-discharge of the supercapacitor is achieved.

The invention relates to an adsorption and health state estimation method of a modified material in lithium ion battery thermal runaway gas, and belongs to the technical field of battery health management. The method comprises the following steps: S1, constructing a gas sensor material, namely an indium selenide (InSe) single layer, and constructing a CuO-InSe single layer through copper oxide (CuO) modification; s2, calculating adsorption energy, an energy band gap and transfer charges based on a density functional theory; s3, calculating the desorption time of the adsorption system at different temperatures according to the adsorption energy, wherein the desorption time is used for proving the potential of CuO-InSe as an adsorbent of CO, C2H2 and C2H4 and a sensor of CO2; a quantitative model for fitting the energy band gap and the adsorption energy with the CO partial pressure is established, the lithium ion battery health state estimation is realized based on the model, and a solid theoretical basis and a practical model are provided for predicting the failure stage of the lithium ion battery and designing an intelligent early warning system.