G16C60/00

NUTRITIONAL SUPPLEMENT BLACK SHOT MIXTURE METHOD AND APPARATUS
20230107885 · 2023-04-06 ·

The embodiments disclose a method including planning a combining sequence of the atoms and compounds with carbon atoms to achieve sequentially predetermined covalent and ion bonding molecular structures, using magnetic fields of force to align atoms and molecules to uniformly orient the atoms and molecules polar alignments when sequentially combining with the carbon atoms, confirming the final carbon combined compound molecular structure conforms to the planned sequential molecular structure using an apparatus, and creating a beverage using the final carbon combined compound molecules to fortify the beverage nutritional content including fulvic acid.

METHOD FOR PRODUCING A BIOFUEL BY STEAM CRACKING

A method for producing a biofuel by continuous or discontinuous steam cracking of lignocellulosic biomass includes: —recording a digital model of the optimal steam cracking parameters as a function of the nature and the content of the contaminants; —introducing a biomass containing at least part of the contaminated biomass into the steam cracking reactor; —measuring at least once during the treatment the nature and content of the contaminants; and —controlling the adjustment of the steam cracking parameters as a function of the nature and the content of the measured contaminants and of the digital model.

METHOD FOR PRODUCING A BIOFUEL BY STEAM CRACKING

A method for producing a biofuel by continuous or discontinuous steam cracking of lignocellulosic biomass includes: —recording a digital model of the optimal steam cracking parameters as a function of the nature and the content of the contaminants; —introducing a biomass containing at least part of the contaminated biomass into the steam cracking reactor; —measuring at least once during the treatment the nature and content of the contaminants; and —controlling the adjustment of the steam cracking parameters as a function of the nature and the content of the measured contaminants and of the digital model.

METHOD FOR PRODUCING A BIOFUEL BY STEAM CRACKING

A method for producing a biofuel by continuous or discontinuous steam cracking of lignocellulosic biomass, comprises: —recording a digital model of the optimal steam cracking parameters as a function of the typology of the plant constituents of the biomass; —supplying the steam cracking reactor with heterogeneous biomass; —measuring at least once during the treatment the typology of the plant constituents of the biomass; and —controlling the adjustment of the steam cracking parameters as a function of the typology of the plant constituents of the measured biomass and of the digital model.

SYSTEM FOR ESTIMATING FEATURE VALUE OF MATERIAL
20230153491 · 2023-05-18 ·

A simulation estimation model estimates a feature value of a simulation result of a material from a descriptor of the material. A material feature value estimation model estimates a feature value of the material from the estimation result of the simulation estimation model and the descriptor of the material. One or more processors input a descriptor of a first material into the simulation estimation model to acquire a first simulation estimation result of the feature value of the first material. The one or more processors input the first simulation estimation result and the descriptor of the first material into the material feature value estimation model to acquire the feature estimation value of the first material.

Response Surface Method Optimized Modified Chitosan-LZM-CA Composite Antibacterial Preservative Film And Preparation Method And Application Thereof

The invention discloses a modified chitosan-LZM-CA composite antibacterial cling film optimized by response surface methodology and the preparation method and application thereof, relates to the technical field of food packaging materials. The invention provides freshwater crayfish as the research object, and adopts the modified chitosan, lysozyme (LZM), a good film-forming material carrageenan (CA) as the composite antibacterial cling film materials, and through the response surface experimental design to determine the best ratio of modified chitosan-LZM-CA composite antibacterial cling film. Furthermore, the TVB-N value and the change value of the total number of bacterial colonies of the freshwater crayfish with the composite antibacterial cling film during refrigeration, can be regarded as indicators to examine the preservation effect, providing a theoretical basis of the chitosan composite film preservation technology development and application for freshwater crayfish and other aquatic products.

Response Surface Method Optimized Modified Chitosan-LZM-CA Composite Antibacterial Preservative Film And Preparation Method And Application Thereof

The invention discloses a modified chitosan-LZM-CA composite antibacterial cling film optimized by response surface methodology and the preparation method and application thereof, relates to the technical field of food packaging materials. The invention provides freshwater crayfish as the research object, and adopts the modified chitosan, lysozyme (LZM), a good film-forming material carrageenan (CA) as the composite antibacterial cling film materials, and through the response surface experimental design to determine the best ratio of modified chitosan-LZM-CA composite antibacterial cling film. Furthermore, the TVB-N value and the change value of the total number of bacterial colonies of the freshwater crayfish with the composite antibacterial cling film during refrigeration, can be regarded as indicators to examine the preservation effect, providing a theoretical basis of the chitosan composite film preservation technology development and application for freshwater crayfish and other aquatic products.

Systems and methods for generating phase diagrams for metastable material states

A system can include one or more processors configured to access at least one parameter of a material, generate a plurality of structures of the material using the at least one parameter, determine a state of each structure of the plurality of structures using the at least one parameter, determine a difference between the state of each structure of the plurality of structures and a ground state value, evaluate a convergence condition responsive to determining the difference between the state of each structure of the plurality of structures and the ground state value, and output at least one structure of the plurality of structures responsive to the convergence condition being satisfied.

METHODS FOR PREDICTING LIKELIHOOD OF SUCCESSFUL EXPERIMENTAL SYNTHESIS OF COMPUTER-GENERATED MATERIALS BY COMBINING NETWORK ANALYSIS AND MACHINE LEARNING

One aspect of the disclosure relates to systems and methods for determining probabilities of successful synthesis of materials in the real world at one or more points in time. The probabilities of successful synthesis of materials in the real world at one or more points in time can be determined by representing the materials and their pre-defined relationships respectively as nodes and edges in a network form, and computation of the parameters of the nodes in the network as input to a classification model for successful synthesis. The classification model being configured to determine probabilities of successful synthesis of materials in the real world at one or more points in time.

METHODS FOR PREDICTING LIKELIHOOD OF SUCCESSFUL EXPERIMENTAL SYNTHESIS OF COMPUTER-GENERATED MATERIALS BY COMBINING NETWORK ANALYSIS AND MACHINE LEARNING

One aspect of the disclosure relates to systems and methods for determining probabilities of successful synthesis of materials in the real world at one or more points in time. The probabilities of successful synthesis of materials in the real world at one or more points in time can be determined by representing the materials and their pre-defined relationships respectively as nodes and edges in a network form, and computation of the parameters of the nodes in the network as input to a classification model for successful synthesis. The classification model being configured to determine probabilities of successful synthesis of materials in the real world at one or more points in time.