Abstract:
The present invention relates to the field of electrolyte design. Existing methods focus on optimizing the electrolyte composition on a stand-alone basis with respect to its properties and validating battery performance experimentally which is a time-consuming process. Thus, embodiments of present disclosure provide an automated method and system for identifying electrolyte composition for optimal battery performance. The system receives certain input parameters and computes transport properties using the input. Then, a feasible electrolyte composition is identified from a material database based on deviation index metric. The identified electrolyte composition is then optimized based on the input by considering the deviation index and battery performance metrics such as capacity fade and internal heat generation. Simulation case studies performed show that the method is capable of identifying a new electrolyte from the material database as well as identify optimal concentration of same electrolyte which results in better performance of the battery.
Abstract:
State of the art milk quality estimation techniques fail to determine quality of the milk non-invasively. This disclosure relates generally to a system and method for non-invasive estimation of milk quality within targeted packaging. A voltage signal is applied at a first capacitor plate amongst a plurality of capacitor plates placed on either side of a targeted packaging containing milk, wherein the targeted packaging is placed inside an electrode receptacle. The resulting voltage signal is measured at a second capacitor plate of the plurality of capacitor plates. A capacitance value is calculated from the measured voltage signal and a value of pH corresponding to the calculated capacitance value is then determined using a regression-based model. A correlation of the determined value of pH with one or more pre-defined quality indices is performed and the quality of milk within the targeted packaging estimated based on the correlation.
Abstract:
A composition(s) and method(s) for preparation of hydrophobic coating composition are described. The hydrophobic coating composition includes a formulation of alumina-silica based nano composite and a resin onto which the formulation is dispersed to form the hydrophobic coating composition. The formulation includes silica nano-particles derived from TetraEthoxySilane and HexaDecylTriMethoxySilane, ammonia as catalyst and aluminum iso propoxide as a precursor for synthesis of alumina and a resin onto which the formulation is dispersed to form the hydrophobic coating composition.
Abstract:
A system and method for testing of skin electroporation using simulations of human skin has been described. The system is using a simulation protocol to provide an in-silico design of skin's upper layer stratum-corneum (SC) at molecular level. This model is then further used to design the skin electroporation strategy. An external electric field was applied across the lipid bilayer to form a pore in the lipid bilayer. The pore size and pore growth rate was calculated depending on the applied external electric field. The generated pore was then stabilized by varying the external electric field. Further, on removing the external electric field, the reformation of lipid bilayer and self-healing of human skin was also achieved. In another embodiment, the system is also configured to perform the virtual testing of a drug permeation through skin in presence of external electric field.
Abstract:
Owing to complexity of the algorithms and tools very few attempts have been seen for usage of simulation methods in the development of new electrolytes. Moreover, the existing simulation methods focus on only one aspect of the electrolyte at a time and this limits accuracy of simulation results, and affects performance of electrolyte in real world, where multiple factors come into play simultaneously. The method disclosed provides method and system for in-silico optimization and design of electrolytes, enabling prediction of various properties of an electrolytic mixture of salts, solvents and various additives and its suitability for a given battery technology. The in-silico method shapes itself into an overall battery electrolyte property or component composition analyzer based on the user input.
Abstract:
This disclosure relates generally to managing ripening conditions of climacteric fruits and more particularly to a system and method for managing ripening conditions of climacteric fruits using Artificial neural network (ANN) model. The method includes obtaining levels of environment condition parameters associated with ripening of the climacteric fruit over time at periodic intervals by using an enclosure enclosing the climacteric fruit. A respiration rate of the climacteric fruit is computed based at least on the levels of the environment condition parameters using Michaelis Menten kinetics model. A level of ethylene is monitored to determine a climacteric peak of Ethylene for the climacteric fruit. The climacteric peak is indicative of complete natural ripening of the climacteric fruit. An ANN model predicts optimal ripening condition of the climacteric fruit based on the respiration rate of the climacteric fruit and the climacteric peak of ethylene.
Abstract:
This disclosure relates generally to a system and method for monitoring and quality evaluation of perishable food items in quantitative terms. Current technology provides limited capability for controlling environmental conditions surrounding the food items in real-time or any quantitative measurement for the degree of freshness of the perishable food items. The disclosed systems and methods facilitate in quantitative determination of freshness of food items by utilizing sensor data and visual data obtained by monitoring the food item. In an embodiment, the system utilizes a pre-trained CNN model and a RNN model, where the pertained CNN model is further fine-tined while training the RNN model to provide robust quality monitoring of the food items. In another embodiment, a rate kinetic based model is utilized for determining reaction rate order of the food item at a particular post-harvest stage of the food item so as to determine the remaining shelf life thereof.
Abstract:
A system and method for design of polymeric carrier for controlled release of molecules is provided. The method includes receiving a plurality of input parameters of a polymeric carrier, a solvent, and molecules to be released from the polymeric carrier from a database and performing Molecular Dynamics (MD) simulations to estimate thermodynamic and transport properties of the polymeric carrier, the solvent and the molecules to be released using on one or more input parameters from the plurality of input parameters. Based on the estimated thermodynamic and transport properties, swelling and degradation kinetics of the polymeric carrier and release kinetics of the molecules to be released from the polymeric carrier is estimated and generating a proposed formulation based on difference between estimated released kinetics and the targeted release kinetics of the molecules.
Abstract:
Present disclosure provides a process for the synthesis of doped titania nanoparticle having photocatalytic activity greater than 90% at 2 hours under sunlight irradiation. The process involves step a) milling a mixture containing anatase titania and a precursor compound, the compound selected from the group consisting of metal and non-metal salts, in the presence of water and oxide milling media, at a temperature in the range of 20 to 50° C. for a period of 60-120 minutes, to form a slurry, wherein the amount of water is in the range of 15 to 25% by weight of the total mixture; and b) filtering the slurry to separate the oxide milling media and obtain a filtrate containing doped titania nanoparticles.
Abstract:
The disclosure relates generally to methods and systems for predicting water quality of a river having a varying river ecosystem. Due to multiple and diverse factors, understanding and estimating the water quality of the river stream (river itself) is extremely and technically challenging. The present disclosure discloses a development of a river digital twin model utilizing a multi-modeling approach to comprehensively model the river and its varying ecosystems. The agents encompass entities that directly or indirectly introduce effluents or withdraw water from the river. Agents and their interactions are defined using a combination of behavior rules, correlations, and physics principles, creating the digital twin model that closely mimics the real river system. Physics-based equations are also employed in the present disclosure to capture the dynamics of the river, while relationships between different agents are established.