Abstract: Systems, devices and methods for predicting binding on an array such as a peptide array. Certain methods utilize a peptide array having a plurality of peptides with one or more defined parameters and contacting the peptide array with a training sample containing one or more molecules of interest. Interactions between the plurality of peptides and the one or more molecules of interest are processed according to a data fitting model, which model is then is applied to interactions between the plurality of peptides and a test sample to predict binding associated with the one or more molecules of interest.

Abstract: Disclosed herein are compositions comprising insoluble alpha-glucan particles having a high degree of crystallinity and small particle size. For example, the alpha-glucan particles can have a degree of crystallinity of at least about 0.65, and/or an average size of less than a micron. At least 50% of the glycosidic linkages of the insoluble alpha-glucan in the disclosed particles are alpha-1,3 glycosidic linkages. Further disclosed are methods of producing insoluble alpha-glucan particles, as well as their use in various applications and products.

Abstract: Aspects of the present disclosure include methods for identifying a set of fluorophore-biomolecule reagent pairs for characterizing a sample by flow cytometry. Methods according to certain embodiments include calculating a spectral spillover spreading parameter for a plurality of fluorophores, pairing each fluorophore with a biomolecule that is specific for a biomarker of a cell in the sample to generate a plurality of fluorophore-biomolecule reagent pairs, generating an adjusted spillover spreading matrix for the fluorophore-biomolecule reagent pairs based on the spectral spillover spreading parameter of each fluorophore and a biomarker classification parameter and identifying an optimal set of fluorophore-biomolecule reagent pairs based on the calculated spillover spreading values from the adjusted spillover spreading matrix. Systems and non-transitory computer readable storage medium for practicing the subject methods are also provided.

Abstract: A polymer physical property prediction device includes a processor, and a memory storing program instructions that cause the processor to read a structural unit from a storage unit and use the structural unit to calculate numbers each indicating how many substructures are in a polymer, the polymer being formed of repetition of the structural unit, calculate a number indicating how many atoms are in the structural unit, calculate number densities of the substructures from the numbers of substructures and the number of atoms in the structural unit, construct a regression model that predicts a physical property value by using an experimental value of a physical property of the polymer and the number densities of the substructures, input a polymer structure of which the physical property value is to be predicted, and predict the physical property value corresponding to the input polymer structure by using the regression model.

Abstract: A calibration system and methods for flow metering technologies integrates a known primary reference standard (e.g., a gravimetric scale), configured to determine a mass of calibration fluid, in parallel with surrogate secondary masters (e.g., Coriolis effect flowmeters) connected via an adjustable flowpath having a closed loop mode, including a meter bank, a pump and a measuring section, and an open loop mode, including a reservoir, the meter bank, the pump, the measuring section and the primary reference standard, which enables calibration duality and redundant meter under test confirmation of calibration factors. The disclosed systems and methods enable life cycle assurance of the primary reference standard and the secondary masters' standard reliability and reproducibility over time and, as a redundant system, enable calibration of multiple flow metering technologies, such as, for example, volumetric, mass, density, viscosity and Reynolds number-reliant technologies, in one homogenous system.

Abstract: Certain aspects of the present disclosure provide techniques for adaptively executing machine learning models on a computing device. An example method generally includes receiving weight information for a machine learning model to be executed on a computing device. The received weight information is reduced into quantized weight information having a reduced bit size relative to the received weight information. First inferences using the machine learning model and the received weight information, and second inferences are performed using the machine learning model and the quantized weight information. Results of the first and second inferences are compared, it is determined that results of the second inferences are within a threshold performance level of results of the first inferences, and based on the determination, one or more subsequent inferences are performed using the machine learning model and the quantized weight information.

Abstract: Catalyst design in asymmetric reaction development has traditionally been driven by empiricism, wherein experimentalists attempt to qualitatively recognize structural patterns to improve selectivity. Machine learning algorithms and chemoinformatics can potentially accelerate this process by recognizing otherwise inscrutable patterns in large datasets. Herein we report a computationally guided workflow for chiral catalyst selection using chemoinformatics at every stage of development. Robust molecular descriptors that are agnostic to the catalyst scaffold allow for selection of a universal training set on the basis of steric and electronic properties. This set can be used to train machine learning methods to make highly accurate predictive models over a broad range of selectivity space. Using support vector machines and deep feed-forward neural networks, we demonstrate accurate predictive modeling in the chiral phosphoric acid-catalyzed thiol addition to N-acylimines.

Abstract: 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.

Abstract: Disclosed herein are compositions comprising insoluble alpha-glucan particles having a high degree of crystallinity and small particle size. For example, the alpha-glucan particles can have a degree of crystallinity of at least about 0.65, and/or an average size of less than a micron. At least 50% of the glycosidic linkages of the insoluble alpha-glucan in the disclosed particles are alpha-1,3 glycosidic linkages. Further disclosed are methods of producing insoluble alpha-glucan particles, as well as their use in various applications and products.

Abstract: A method for providing output values with associated uncertainties for a flexible modular plant or machine comprising an arrangement of modular entities, wherein uncertainty information associated with an operation of the modular entity is assigned to a plurality of modular entities and input values are provided based on an operation of the modular entities, where a computing unit calculates an output value based on said input values, calculates an input value uncertainty for each input value based on the uncertainty information of the modular entity, and calculates at least one output value uncertainty associated with the output value based on propagation of uncertainty and using the input value uncertainties, and where the output value and the at least one output value uncertainty are output.

Abstract: A high-throughput virtual drug screening system based on molecular fingerprints and deep learning, includes a deep-learning model online-modeling subsystem and an online virtual-screening subsystem. The system combines the molecular fingerprints and a deep neural network method to construct a high-throughput virtual drug screening system. The system includes built-in structural-diversity screening libraries and realizes the online automatic construction of deep learning models and virtual screening. The system helps researchers in the drug discovery industry such as medicinal chemistry to conduct rapid screening through their desired targets to obtain potential active compounds and accelerate drug discovery.

Abstract: Systems for identifying a meter that is out of calibration and methods of controlling the same include obtaining a power measurement value for each of a plurality of metering devices in a hierarchy of metering devices, calculating virtual metering points for a candidate metering device using metering devices connected upstream and/or downstream to the candidate metering device, and identifying the candidate metering device as being out of calibration by leveraging the virtual metering points and the candidate metering device's specification.

Abstract: A method for improving efficiency of a training program begins with a processor monitoring and adapting execution of a training exercise of the training program. The processor determines a training program effectiveness measure including determining trainee skill improvement demonstrated during the training exercise, and monitoring and determining correctness and timeliness of trainee actions during the training exercise. The processor then determines a training program cost measure by determining a first monetary cost for the execution of the at least one training exercise, determining a second monetary cost associated with trainee manhours for the training exercise, and generating the training program cost measure based on the first and second monetary costs. The processor then computes a ratio of the training program effectiveness measure to the training program cost measure.

Abstract: A determination is made of an explanatory variable with respect to an objective variable. A subset of data from data to be analyzed is created, in response to setting the objective variable to be analyzed to perform analysis. Association analysis is applied to analysis results, in response to a number of analysis runs exceeding a predetermined number. An association rule is derived for the explanatory variable from a result of the association analysis. An explanatory variable having a relevance value greater than a threshold value with the objective variable in the data to be analyzed is selected. The selected explanatory variable is scored as an input using the association rule to determine whether the explanatory variable is to be added or removed.

Abstract: A mixture stability criterion asserts that a mixture of at least two redox elements in a crystal lattice will be unstable during charge and discharge cycles unless a set of charged ground state configurations at a specified value of a mixing ratio for the redox elements and a set of discharged ground state configurations at the same value of mixing ratio both consist of the same derivative superstructures. All members of the charged ground state set and all members of the discharged ground state set are within a same energy threshold value of the lowest-energy member of each set. The value for the energy threshold may represent a value of thermal energy calculated with Boltzmann's constant. Examples of alternative embodiments include a method for implementing the mixture stability criterion, computer hardware adapted to perform a method embodiment, and computer-readable media including a method embodiment.

Abstract: Techniques facilitating iterative widening search for designing chemical compounds are provided. A computer-implemented method can comprise receiving, by a system operatively coupled to a processor, an indication of a constrained structure portion of a chemical compound and a first unconstrained structure portion of the chemical compound. The method can also comprise determining, by the system, a second unconstrained structure portion for the chemical compound based on a determination that the second unconstrained structure portion satisfies a defined condition related to a difference between the first unconstrained structure portion and the second unconstrained structure portion.

Abstract: The present invention includes a method for thermodynamic modeling of asphaltene precipitation comprising: calculating the Gibbs free energy for the transition between asphaltene molecules in solution into an imaginary crystalline asphaltene nanoaggregates or asphaltene nanocrystals; calculating the Gibbs free energy for the transition between asphaltene nanoaggregates or nanocrystals redissolving into colloidal asphaltene nanoaggregates using the computer: and predicting asphaltene solubility in a solvent, wherein the predicted asphaltene solubility is used to add a solvent to a liquid, semi-solid, or solid comprising asphaltenes to prevent, e.g., fouling of a wellbore, pipeline, downstream unit operations, to provide flow assurance for crude oil pipeline network, or for petroleum crude blending.

Abstract: Computer-implemented methods of characterizing chemical composition of a sample containing crude oil or a petroleum fraction are presented. The methods can include, in a processor, receiving assay data of the sample, and particularly molecular-level data obtained using advanced analytical techniques, and processing this data in view of a model library of compounds, including reconciling compound compositions, to form a characterization of the chemical composition of the sample.

Abstract: The invention belongs to the technical field force fields and particularly provides an atom type definition system and an atom type matching method. The atom type definition system includes an atom type visual UI interface, an atom type matching module, an atom type data management module and an atom type format transformation module. The atom type data management module includes an atom type definition data package. The system and method can describe various complicated atomic chemical environments, the description capability is improved, and the computation of a force field can be more accurate. According to the invention, convenient operation on an atom type can be realized, and addition, deletion, modification, inquiry as well as statistics of multiple dimensions are very visual and convenient.

Abstract: A system and a method is provided for calculating and assigning one or more indicative properties (e.g., cetane number, pour point, cloud point and/or aniline point) of a fractions of a crude oil sample based upon gas chromatographic simulated distillation data.

Abstract: An exemplary embodiment provides a method of determining formation energy of a multi-element crystal, including: generating information related to a candidate structure of the multi-element crystal and information related to a metal pair included in the multi-element crystal, based on information related to a composition of the multi-element crystal; and determining the formation energy based on the information related to the candidate structure and the information related to the metal pair.

Abstract: Techniques facilitating iterative widening search for designing chemical compounds are provided. A computer-implemented method can comprise receiving, by a system operatively coupled to a processor, an indication of a constrained structure portion of a chemical compound and a first unconstrained structure portion of the chemical compound. The method can also comprise determining, by the system, a second unconstrained structure portion for the chemical compound based on a determination that the second unconstrained structure portion satisfies a defined condition related to a difference between the first unconstrained structure portion and the second unconstrained structure portion.

Abstract: An existing materials database (EMDB) is a compilation of inorganic materials with composition and crystal structures known from prior experimental synthesis and characterization reports, or from ab initio or other computational studies, and includes a composition, structure, and stability value for each material. A hypothetical materials database (HMDB) is an extremely large compilation of materials of unknown stability and synthesizability, with no explicitly available or accessible prior experimental or computational report of their structure-composition combinations. An automated process for efficiently expanding the size of an EMDB includes a cyclical sub-process in which a rapid algorithm provides preliminary stability estimates for hypothetical materials selected from an HMDB, and those materials with a favorable stability prediction undergo a full ab initio analysis to obtain quantitative stability values and are then added to the EMDB.

Abstract: An electronically stored model for a reservoir can include a plurality of hierarchical levels and a plurality of cells representing corresponding portions of the reservoir. The model can include a dimension and a cell number corresponding to the reservoir. A dimension of a cell of an nth hierarchical level can be defined in terms of a dimension of a cell of a first hierarchical level and an array of vertex coordinates along one or more axes can be generated. The model can include a ratio of dimensions among hierarchical levels for improved reservoir modeling. The model can include a ratio of permeability among hierarchical levels for improved reservoir modeling.

Abstract: An electronic device includes a housing, a memory storing at least a piece of content and at least one application associated with an output of the content, a display exposed through one region of the housing and displaying the content, and a processor electrically connected to the memory and the display. The processor is configured to determine an attribute of at least part of the content, based on whether at least one specified condition is satisfied with respect to content selected by an input and, when it is determined that the attribute is associated with virtual reality (VR) content, to output the selected content based on execution of an application associated with an output of the VR content.

Abstract: A shared memory maintained by sender processes stores a sequence number counter per destination process. A sender process increments the sequence number counter in the shared memory in sending a message to a destination process. The sender process sends a data packet comprising the message and at least a sequence number specified by the sequence number counter. All of the sender processes share a sequence number counter per destination process, each of the sender processes incrementing the sequence number counter in sending a respective message. Receiver processes run on the hardware processor, each of the receiver processes maintaining a local memory counter on the memory, the local memory counter associated with a sending node. The local memory counter stores a sequence number of a message received from the sending node. The receiver process delivers incoming data packets ordered by sequence numbers of the data packets.

Abstract: Techniques for predicting a chemical reaction that includes a set of input molecules. The techniques may include obtaining input molecule information identifying the set of input molecules and predicting at least one chemical reaction that include a transformation between the set of input molecules and a set of output molecules by modifying at least one reaction center of the set of input molecules. The predicting of the at least one chemical reaction may be performed at least in part by using the input molecule information and at least one statistical model relating properties of atoms outside a region of a molecule to reactivity of the molecule at the region to identify the at least one reaction center. The techniques further include outputting information indicating the set of output molecules.

Abstract: A method, system, and a computer readable medium enables determining a design layout of a battery that includes an electrical arrangement of one or more battery cells and one or more electrical components. The method also includes determining operational parameters of a batch of battery cells and electrical components to potentially be used in the battery and selecting at least one battery cell and at least one electrical component for the electrical arrangement of the design layout. The method further includes comparing the operational parameters of the at least one battery cell and at least one electrical component and determining that the operational parameters of the at least one battery cell and at least one electrical component are within a predetermined threshold. The method includes selecting the at least one battery cell and at least one electrical component as a potential combination for the design.

Abstract: The present application provides a display panel. Blocks of the display panel have the characteristic of random arrangement, which can eliminate a ghosting problem caused by periodic arrangement, and the randomness is subjected to some limitations and restrictions, thereby avoiding the wiring difficulty in the related art in which blocks are arranged completely randomly.

Abstract: A computer-implemented method for designing intervention into the behavior of a real complex system of technical or biochemical nature. The real complex system is modeled by a network of objects and relations between the objects. The objects of the system are represented by network points and the relations are represented by edges between the network points. The states of the objects are described by a parameter set and the relations associated with the edges are described by functions of time.

Abstract: Techniques facilitating iterative widening search for designing chemical compounds are provided. A computer-implemented method can comprise receiving, by a system operatively coupled to a processor, an indication of a constrained structure portion of a chemical compound and a first unconstrained structure portion of the chemical compound. The method can also comprise determining, by the system, a second unconstrained structure portion for the chemical compound based on a determination that the second unconstrained structure portion satisfies a defined condition related to a difference between the first unconstrained structure portion and the second unconstrained structure portion.

Abstract: Disclosed are methods and systems for performing uncertainty calculations. For example, a numeric value and an error range associated with the numeric value are converted by a processor into a trans-imaginary input dual which is a hybrid of numeric and geometric information having real and complex numbers. A dual calculation is performed using the trans-imaginary input dual to produce a trans-imaginary output dual, and the processor then converts the trans-imaginary output dual to a real number output numeric value that includes both a real number and real number error range or uncertainty associated with that real number.

Abstract: A set of sensors is disposed beside a cylinder to collect a first set of temperature points. The first set of temperature points is updated and distributed on a coordinate plane corresponding to a length and rotation degrees of the cylinder. The coordinate plane is segmented along a horizontal axis with a fixed length to define a rectangular area, and a second set of temperature points is distributed on the rectangular area. The second set of temperature points is a subset of the first set of temperature points. On the rectangular area, the second set of temperature points is clustered into n sets of temperature points using a k means algorithm. A notification signal is sent according to an xth set of temperature points of the n sets of temperature points. The xth set of temperature points has a highest mean temperature among the n sets of temperature points.

Abstract: Changes in capillary pressure and relative permeabilities in reactive transport codes or reservoir simulators are formed by computer modeling. Based on continuum-scale hydraulic properties, the pore size distribution (PSD) is determined from a capillary pressure curve using the capillary tube concept. Changes in mineral volume through equilibrium or kinetic mineral reactions are then translated to changes in pore radii of the pore size distribution by selectively changing the radii of water occupied pores. The resulting new pore size distribution is converted back to an updated capillary pressure curve, which is then used for determining and forming models of total permeability and relative permeabilities at the continuum scale.

Abstract: A granular material is a simulation target, wherein a force acting on each grain is expressed by a potential dependent term and an energy dissipation term. The potential dependent term depends on an interaction potential ? between the grains. Physical quantities included in the potential dependent term are renormalization-transformed so that a hamiltonian form expressed by a kinetic energy of the each grain and a potential energy based on the interaction potential ? does not change. Physical quantities included in the dissipation term are renormalization-transformed so that a change rate of the potential dependent term and a change rate of the dissipation term become equal. Temporal development of a renormalized granular material is calculated by performing numerical integration with respect to a motion equation of each grain of the renormalized granular material.

Abstract: A computer-implemented method for determining an amount of hydrocarbon fluid present in a rock of a hydrocarbon-producing reservoir is provided. The rock comprises organic matter and porous and permeable inorganic matter. The method comprises the steps of receiving data relating to chemical and kinetic properties of the organic matter, rock lithology data, rock thickness and reservoir temperature and pressure data, inputting the received data into a computer-implemented model, and operating the model. The model operates to a) simulate hydrocarbon fluid generation in the rock based on the input data and thereby determine an amount of generated hydrocarbon fluid, b) generate predicted data, and c) determine a total amount of hydrocarbon fluid present in the rock based on the predicted data.

Abstract: Provided is a method and apparatus for rendering a target fluid that include defining level-set information of fluid particles configuring a modeled target fluid. The level-set information comprises a shortest distance from a surface of the target fluid to the fluid particles. The method and apparatus are include discarding internal particles of the target fluid from the modeled target fluid based on the level-set information of the fluid particles, and calculating thickness information of the target fluid, from which the internal particles are discarded, based on depth information on the fluid particles. The target fluid is rendered based on the thickness information of the target fluid.

Abstract: Techniques for use in connection with performing optimization using a plurality of objective functions associated with a respective plurality of tasks. The techniques include using at least one computer hardware processor to perform: identifying, based at least in part on a joint probabilistic model of the plurality of objective functions, a first point at which to evaluate an objective function in the plurality of objective functions; selecting, based at least in part on the joint probabilistic model, a first objective function in the plurality of objective functions to evaluate at the identified first point; evaluating the first objective function at the identified first point; and updating the joint probabilistic model based on results of the evaluation to obtain an updated joint probabilistic model.

Abstract: A computer simulation method for a macromolecular material and filler is disclosed, wherein a polymer model of a macromolecular chain of the macromolecular material and a filler model of the filler are defined; and a molecular dynamics calculation is performed using the filler model and the polymer models disposed in a space in order to compute the thickness of an interface layer between the filler and the macromolecular material. To compute the thickness, the space is partitioned into domains bounded by boundary surfaces; relaxation moduli of the domains are computed; and based on a variation of the relaxation moduli of the domains, the thickness of the interface layer is computed.

Abstract: A processor based method for measuring dimensional properties of a photoresist profile by determining a number acid generators and quenchers within a photoresist volume, determining a number of photons absorbed by the photoresist volume, determining a number of the acid generators converted to acid, determining a number of acid and quencher reactions within the photoresist volume, calculating a development of the photoresist volume, producing with the processor a three-dimensional simulated scanning electron microscope image of the photoresist profile created by the development of the photoresist volume, and measuring the dimensional properties of the photoresist profile.

Abstract: A method for predicting petroleum expulsion. A chemical structure of a kerogen is defined and a plurality of reaction products of the kerogen under geologic heating rates are identified. The plurality of reaction products are grouped into a plurality of product lumps based on their chemical composition and predicting petroleum expulsion for each of the plurality of product lumps based on secondary cracking reactions.

Abstract: Embodiments describe a non-transitory computer-readable storage medium encoded with instructions, executable by a processor, comprising instructions for a method for performing a biological workflow in silico comprising: presenting to a user a plurality of subroutines listed in a sequential order of the workflow, wherein at least two subroutines comprise two steps; providing the user ability to navigate to any subroutine and/or step, to select a subroutine, to view, set, or change one or more parameters associated with step/subroutine; providing option to display biomolecule(s) resulting from execution of the subroutines/steps; and providing an option to navigate to a prior subroutine and change a parameter of a step of the prior subroutine and execute the step of the prior subroutine, if the user is not satisfied with the displayed biomolecule(s). Computer systems and methods for performing a biological workflow in silico are also described.

Abstract: Partition coefficients for solutes in solvent-water systems are estimated based on corresponding values for the octanol-water system. The estimation of the partition coefficient includes correction factors based on the nature of the solute and the solvent. Petroleum fractions are an example of a suitable solvent for which a partition coefficient can be estimated, although other types of solvents can be used in developing a model for use in the estimation.

Abstract: A spectrometer recognizes a measurement target on the basis of the spectral data set of observed light detected by a spectral sensor capable of measuring wavelength information and light intensity information. The spectrometer is provided with a spectral data processor. Spectral data sets are detected at two different positions by the spectral sensor, and the processor subtracts a first spectral data set from a second spectral data set, or divides the first spectral data set by the second spectral data set to calculate one phase correlation spectral data set, which is correlated to the spectral data sets at the two different positions. The processor simultaneously identifies the measurement target corresponding to the two different positions on the basis of the correlation spectral data set.

Abstract: We describe a method of generating a classification model capable of distinguishing between two biological states, the method comprising the steps of: (a) providing a training dataset, X, comprising concentrations of a plurality of lipids in a biological sample in a first state and a biological sample in a second state; (b) subjecting the training dataset X to Principal Components Analysis (PCA), in which the PCA analysis generates a transformation matrix, C, and a transformed dataset, Yl; (c) subjecting the transformed dataset Yl to Support Vector Machines (SVM) analysis, in which the SVM analysis generates a SVM model, S; (d) forming a classification model comprising (i) the transformation matrix C, and (ii) the corresponding SVM model S.

Abstract: Tubular reactor for use in polymerization reactions having a design pressure PR of 40-65 barg. The reactor includes a tube with a wall, and at least a portion of the tube is oriented vertically, with at least part of the vertical portion being surrounded by a concentric jacket for the passage of cooling fluid. The design pressure in barg of the jacket PJ is less than 0.0018·PR2.25.

Abstract: A method of dynamic model selection for hybrid linear/non-linear process control includes developing a plurality of process models including at least one linear process model and at least one non-linear process model from inputs including dynamic process data from a processing system that runs a physical process. At least two of the plurality of process models are selected based on a performance comparison based on at least one metric, wherein the selected process models number less than a number of the plurality of process models received. A multi-model controller is generated that includes the selected process models. The physical process is simulated using the multi-model controller by applying the selected process models to obtain closed loop performance test data for each of the selected models. The performance test data is compared. A selected process model is then selected.

Abstract: A content recommendation method and system including providing a plurality of content items, the number of items designated as N, representing each of the N content items symbolically represented as a unique point on a two-dimensional plane, thereby associating an x and y coordinate with each one of the content items, changing the x and y coordinate of the unique point based on user requests for other content items besides the one of the N content items, determining a distance between the unique point and a multiplicity of points corresponding to a multiplicity of other content items, returning at least a first content recommendation to a user, the at least a first content recommendation including a content item associated with a point closer than any other point to a point associated with the content item presently being viewed by the user. Related methods and apparatus are also described.

Abstract: A computer-based apparatus and method for automated data screening and selection in model identification and model adaptation in multivariable process control is disclosed. Data sample status information, PID control loop associations and internally built MISO (Multi-input, Single-output) predictive models are employed to automatically screen individual time-series of data, and based on various criteria bad data is automatically identified and marked for removal. The resulting plant step test/operational data is also repaired by interpolated replacement values substituted for certain removed bad data that satisfy some conditions. Computer implemented data point interconnection and adjustment techniques are provided to guarantee smooth/continuous replacement values.

Abstract: A system and method for producing a bioabsorbable thermoplastic polyurethane tailored to a medical application are provided. The method includes identifying suitable thermoplastic polyurethane properties based on the medical application. The thermoplastic polyurethane comprises units derived from a diol chain extender, a diisocyanate, and a polyol. The thermoplastic polyurethane properties include a biodegradation rate and at least one physical property. The method includes identifying a base thermoplastic polyurethane and altering at least one parameter of the base thermoplastic polyurethane which relates to the desired thermoplastic polyurethane properties to generate a candidate thermoplastic polyurethane. The altering may be performed iteratively until the suitable range of thermoplastic polyurethane properties based on the medical application is met.