Abstract: A computer implemented method for generating query results includes generating by a computer processor, a training model through artificial intelligence. The training model is based on annotated data. A knowledge base for a subject matter is generated based on the training model. The knowledge base is based on content from document sources related to the subject matter. A natural language query input is received. An intent and requirements for satisfying the intent is inferred by the computer processor. The knowledge base is referenced to extract information related to the intent and requirements, from documents in the knowledge base. Relationships between the extracted information and the requirements are correlated from the documents in the knowledge base. Query results are displayed to the user. The query results are based on the correlated relationships.

Abstract: A lab-on-chip platform is provided and includes a substrate. The substrate includes a microfluidic path. The microfluidic path has multiple inputs and an output and an analysis area downstream from a mixing area. The lab-on-chip platform further includes a cover disposed on the substrate to partially enclose the microfluidic path, a mineral layer deposited in at least the mixing area and obstructions. The mineral layer is configured to at least partially chemically react with fluid within the microfluidic path to form at least first particles and second particles, which are substantially smaller than the first particles. The obstructions are formed or disposed in the analysis area and configured to capture the first particles in the analysis area and to allow the second particles and unreacted fluid to pass out of the analysis area.

Abstract: Method and apparatus for assigning a head and tail of a monomer. An input is obtained, where the input includes a simplified molecular input line entry. A quantum mechanics tool is generated based on the simplified molecular line entry. An atomic population of a monomer is extracted using the quantum mechanics tool. A functional group of the monomer is identified. A polymerization based on the atomic population of the monomer and the functional group is determined. A head and a tail of the polymerization site of the monomer is assigned.

Abstract: A grey-scale tomography of a sample is obtained and a capillary network model (CNM) geometry of the sample is produced, using a capillary network extractor, based on the grey-scale tomography. A fluid flow simulation is performed, using a flow simulator, to generate flow property fields based on the capillary network model (CNM) geometry. A mineralization simulation is performed influenced by results of the flow property fields to generate a modified capillary geometry that represents the capillary network model (CNM) geometry at a future point in time.

Abstract: A system may include a chamber with a main sub-chamber and a first porous membrane separating a first sub-chamber from the main sub-chamber. The system may include a fluid in the chamber and an input directing inflow into main sub-chamber proximate an entry end of the chamber. The system may include a first output permitting outflow from the first sub-chamber proximate an exit end of the chamber wherein a molecule entering at the entry end must traverse a length of the chamber to exit at the exit end.

Abstract: A system may include a chamber with a main sub-chamber and a first porous membrane separating a first sub-chamber from the main sub-chamber. The system may include a fluid in the chamber and an input directing inflow into main sub-chamber proximate an entry end of the chamber. The system may include a first output permitting outflow from the first sub-chamber proximate an exit end of the chamber wherein a molecule entering at the entry end must traverse a length of the chamber to exit at the exit end.

Abstract: A hybrid microfluidics device includes a substrate having a base region with a width and a length. A paper has testing regions disposed along the width of the base region. A cover has an angled relationship with the base region to form a wedge profile to provide a length-wise droplet pump effect to separately maintain channel-less regions for the testing regions.

Abstract: Techniques for determining flow properties of a fluid in a fluidic device comprising a light source configured to generate a plurality of optical signals, tracers suspended in a fluid, a plurality of photonic devices, each including a photonic element and flow channel, and a measurement device configured to: determine a first measurement based on the plurality of optical signals and the tracers in a flow channel of a first photonic device of the plurality of photonic devices, determine a second measurement based on the plurality of optical signals and the tracers in a flow channel of a second photonic device of the plurality of photonic devices, and determine a property associated with a flow of the fluid or the tracers based on the first measurement and the second measurement.

Abstract: A gas capture system is configured to purify gas streams. The gas capture system includes a first capture system including a plurality of first chambers interconnected by a first path. Each first chamber includes a first adsorbent. The gas capture system further includes a second capture system including a plurality of second chambers interconnected by a second path. Each second chamber includes a second adsorbent. The gas capture system further includes a third path connecting each first chamber to the second path such that a first output of the first capture system is input into the second capture system. The gas capture system further includes a fourth path connecting each second chamber to the first path such that a second output of the second capture system is input into the first capture system.

Abstract: Ranking materials for post combustion carbon capture by characterizing sorbent materials with a molecular model workflow that generates microscopic figures of merit for materials by microscopic properties; and evaluating the materials from the molecular model workflow with a process model workflow that generates macroscopic figures of merit for process steps of a carbon recovery process. The materials for applicability as a sorbent material are ranked using a combined microscopic performance and macroscopic process feasibility generator that ranks the materials according to the microscopic figures of merit for materials and the macroscopic figures of merit for the process steps.

Abstract: A multiplexed lateral flow device includes an impermeable internal reservoir having an opening to receive a sample deposition. A fluid distributor pad is arranged in fluid communication with a lower surface of the internal reservoir. The fluid distributor pad includes a paper based microfluidic element having a pattern of a hydrophobic material to distribute a portion of the sample deposition substantially equally among a plurality of flow paths. Lateral flow assays having a plurality of flow lines are aligned with flow paths of the distributor pad. An impermeable top cover has a first window arranged over the opening of the internal reservoir, and at least a second window arranged over the test results of the lateral flow assays. A housing element houses the reservoir, the distributor pad and lateral flow assays.

Abstract: A gas capture system is configured to purify gas streams. The gas capture system includes a first capture system including a plurality of first chambers interconnected by a first path. Each first chamber includes a first adsorbent. The gas capture system further includes a second capture system including a plurality of second chambers interconnected by a second path. Each second chamber includes a second adsorbent. The gas capture system further includes a third path connecting each first chamber to the second path such that a first output of the first capture system is input into the second capture system. The gas capture system further includes a fourth path connecting each second chamber to the first path such that a second output of the second capture system is input into the first capture system.

Abstract: Systems and methods for predicting fluid flow of porous media are provided. In implementations, a method includes: accessing, by a computing device, a capillary network representation of a porous medium sample; generating, by the computing device, a set of simplified network representations from the capillary network representation; determining, by the computing device, simulated fluid flow properties of each of the simplified network representations using a simulator to perform fluid flow simulations; and training, by the computing device, a neural network (NN) model utilizing the set of simplified network representations as inputs and the simulated fluid flow properties as model targets, thereby generating a trained NN model for predicting fluid flow properties of the porous medium.

Abstract: A validation method applied to sensor data prior to submitting to a blockchain, a computer program product, and a system for validating chemical data. One embodiment may comprise receiving a sensor captured result at an application, applying the sensor captured result to a domain-specific statistical model of expected range of variability of measured results to extract a distribution of expected sensor values, computing a confidence value in the sensor captured result using the domain-specific statistical model, validating the confidence value against a required threshold of confidence, and submitting the sensor captured result for appending to the blockchain if the confidence level is validated against the threshold of confidence.

Abstract: Provided are embodiments for a computer-implemented method, system, and device for tracking multiphase flow in a microfluidic device. Embodiments include receiving first readings from a first sensor of the microfluidic device, the first reading representing a detection of a fluid at an interface between the fluid and the first sensor, and receiving second readings from a second sensor of the microfluidic device, the second readings representing a detection of the fluid at an interface between the fluid and the second sensor, wherein the first sensor is located at a distance from the second sensor. Embodiments also include calculating a flow speed of the fluid in the microfluidic device based at least in part on a difference of time between the detections by the first sensor and the second sensor, and the distance between the first sensor and the second sensor.

Abstract: Method, apparatus, and computer program product are provided for anonymized diagnosis using lateral flow assays. In some embodiments, a test card includes one or more lateral flow assay (LFA) with one or more test patterns (e.g., full line, partial line, dot), one or more dummy patterns, and one or more control patterns. To visually encode LFA results, at manufacture, one or more lines/dots containing true results of the LFA(s) each has a position mixed with other “dummy” lines/dots, in randomized position patterns selected from among a plurality of possible position patterns. An optical machine-readable representation of data (e.g., QR code) is attached to the test card and encodes test card identification information (e.g., lot number, serial number, test type) associated with the test card. In some embodiments, a passcode card having a scrapeable coating that conceals a passcode associated with the test card is removably attached to the test card.

Abstract: A multiplexed testing strip testing device includes a hydrophobic paper-based strip housing element configured for placement of one or more testing strips. One or more alignment markers on the hydrophobic paper-based housing element are marked to facilitate placement of the one or more testing strips. A cover element is arranged above the strip housing element and includes a machine-readable test identifier on an upper surface. A removably attached filtering element is arranged on the hydrophobic paper-based strip housing element.

Abstract: A method and system of discovering materials for use in carbon dioxide separation includes extracting references to chemical molecules from online sources. The extracted references are encoded into chemical formulas. Molecular properties are calculated from the encoded chemical formulas. Features are extracted from the chemical formulas. Molecular properties of predicted molecular structures are predicted through a machine learning engine. The predicted molecular properties are based on the calculated molecular properties and extracted features. Target properties for predicted molecular structures are defined. Synthesized molecular structures are generated. The synthesized molecular structures include predicted molecular properties satisfying the defined target properties.

Abstract: A material screening process of generating input features for each material of a subset of materials to be screened, generating target properties for each material of the subset of materials, inputting screening conditions, the input features, and the target properties into a material screening artificial intelligence model and training the material screening artificial intelligence model based on the inputs. Once the model is trained, inputting a dataset of materials to be screened into the trained material screening artificial intelligence model, the dataset of materials includes the subset of materials used to train the model, screening the dataset of materials on the trained material screening artificial intelligence model using the screening conditions and ranking the materials of the dataset based on predicted target properties obtained from the screening.

Abstract: An embodiment includes a sample receiving region, a first diagnostic element that includes one or more colorimetric analysis regions, and a second diagnostic element that includes one or more lateral flow assay analysis regions. The embodiment also includes a first flow path that allows a portion of a liquid deposited at the sample receiving region to flow to the first diagnostic element. The embodiment also includes a second flow path that allows a portion of the liquid deposited at the sample receiving region to flow to the second diagnostic element.