Patent classifications
G16C20/10
SYSTEM AND METHOD FOR LEARNING TO GENERATE CHEMICAL COMPOUNDS WITH DESIRED PROPERTIES
A system and method for generating libraries of chemical compounds having desired and specific properties by formulating a reaction-based mechanism that may be powered by several algorithms including but not limited to genetic algorithm, expert iteration algorithms, planning methods, reinforcement learning and machine learning algorithms. The system and method may also provide the process steps by which these optimized products S′ may be synthesized from the reactants R1,R2 and further enables a rapid and efficient search of the synthetically accessible chemical space.
SYSTEM AND METHOD FOR LEARNING TO GENERATE CHEMICAL COMPOUNDS WITH DESIRED PROPERTIES
A system and method for generating libraries of chemical compounds having desired and specific properties by formulating a reaction-based mechanism that may be powered by several algorithms including but not limited to genetic algorithm, expert iteration algorithms, planning methods, reinforcement learning and machine learning algorithms. The system and method may also provide the process steps by which these optimized products S′ may be synthesized from the reactants R1,R2 and further enables a rapid and efficient search of the synthetically accessible chemical space.
Information processing apparatus, information processing method, and information processing program
An information processing method is performed by a computer for evaluating flammability of a mixed refrigerant material containing a plurality of components. The method includes: calculating, for each of the plurality of components, a second value obtained by multiplying a mixture ratio thereof in the mixed refrigerant material by a first value obtained based on numbers of hydrogen atoms, halogen atoms, and double bonds included in a molecular structure thereof; calculating a total sum of the second value calculated for each of the plurality of components; and classifying the mixed refrigerant material into a predetermined flammability class based on the total sum.
Information processing apparatus, information processing method, and information processing program
An information processing method is performed by a computer for evaluating flammability of a mixed refrigerant material containing a plurality of components. The method includes: calculating, for each of the plurality of components, a second value obtained by multiplying a mixture ratio thereof in the mixed refrigerant material by a first value obtained based on numbers of hydrogen atoms, halogen atoms, and double bonds included in a molecular structure thereof; calculating a total sum of the second value calculated for each of the plurality of components; and classifying the mixed refrigerant material into a predetermined flammability class based on the total sum.
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.
Method of simultaneous modeling and complexity reduction of bio-crudes for process simulation
The present invention relates to a method for reducing the complexity of bio-crudes. The method includes (a) obtaining experimental data of quantitative and qualitative analyses for the bio-crudes, (b) grouping compounds contained in the bio-crudes according to a predetermined basis based on the experimental data, (c) selecting representative compounds from among the compounds belonging to the same group, and (d) reconstituting the bio-crudes as a mixture of the representative compounds.
METHOD FOR PREDICTING RETROSYNTHESIS OF A COMPOUND MOLECULE AND RELATED APPARATUS
A method for predicting retrosynthesis of a compound molecule and a related apparatus. The method includes: obtaining a target molecule and determining the target molecule as a root node in a tree structure, then, expanding the first leaf node through a target retrosynthesis model to obtain a plurality of second leaf nodes, further, recursively processing the predicted molecule set corresponding to the second leaf nodes and determining a terminal node that satisfies a preset condition; and then, traversing path information corresponding to the terminal node to determine a retrosynthetic path of the target molecule. In this way, a retrosynthesis prediction process of a multi-step reaction is realized. Leaf nodes are gradually recursively expanded and screened, to ensure the reliability of reactants determined by the retrosynthesis prediction process of the multi-step reaction, thereby improving the accuracy of prediction of retrosynthesis of compound molecules.
METHOD FOR PREDICTING RETROSYNTHESIS OF A COMPOUND MOLECULE AND RELATED APPARATUS
A method for predicting retrosynthesis of a compound molecule and a related apparatus. The method includes: obtaining a target molecule and determining the target molecule as a root node in a tree structure, then, expanding the first leaf node through a target retrosynthesis model to obtain a plurality of second leaf nodes, further, recursively processing the predicted molecule set corresponding to the second leaf nodes and determining a terminal node that satisfies a preset condition; and then, traversing path information corresponding to the terminal node to determine a retrosynthetic path of the target molecule. In this way, a retrosynthesis prediction process of a multi-step reaction is realized. Leaf nodes are gradually recursively expanded and screened, to ensure the reliability of reactants determined by the retrosynthesis prediction process of the multi-step reaction, thereby improving the accuracy of prediction of retrosynthesis of compound molecules.
METHOD FOR THE EARLY ESTIMATION OF ANAEROBIC DEGRADABILITY OF ORGANIC SUBSTRATES
A method for the early estimation of anaerobic degradability of organic substrates, starting from initial data acquired from tests measuring BMP (Biochemical Methane Potential). The method consists of: i) calculating the two parameters B.sub.0 and k; ii) comparing the fit of the decreasing trend of B.sub.0,est as Δt varies with a homographic function in the first quadrant; iii) evaluating the goodness of fit between a homographic function and the trend of B.sub.0,est as Δt varies, checking whether the adjusted coefficient of determination R.sup.2.sub.adj≥R.sup.2.sub.adj,min; iv) selecting the value of B.sub.0,est corresponding to a slope of less than 0.1% that occurs for three consecutive Δt; if no, acquire additional BMP measurements and repeat the previous steps.