Faculty Publications
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Item Artificial intelligence and machine learning in battery materials and their applications(Elsevier, 2024) Acharya, S.; Viswesh, P.; Sridhar, M.K.; Pathak, A.D.; Sharma, H.; Nazir, A.; Kasbe, A.; Sahu, K.K.The fast-depleting fossil fuels and other environmental impacts necessitate rapid development and deployment of efficient, smart, intelligent, and future-ready energy storage solutions. Gone are the days of only trial-and-error-based research and development protocols that take a long time to mature and yield meaningful results, say, in discovering new structures/functional materials (nano to microstructure) for batteries or the development of new battery systems. As the existing computational power is increasing rapidly, coupled with the rapidly falling cost of computation, artificial intelligence (AI) and machine learning (ML) have proved their potential in discovering new battery materials in a short period. This chapter begins with a brief introduction to various AI and ML methods used in the development and deployment of battery material and their applications. Then we focus on the AI and ML methods used in different stages of battery production, from the material selection stage to the manufacturing, state of charge, and state of health prediction, understanding and controlling degrading and aging mechanisms and testing of battery performance, as well as some emerging AI and ML-assisted battery technologies. © 2024 by Elsevier Inc. All rights reserved, including those for text and data mining, AI training, and similar technologies.Item Machine Learning Approaches for Designing Electrode Materials for Lithium-Ion Batteries(wiley, 2024) Prakash, V.; Acharya, S.; Sharma, H.; Pathak, A.D.; Sahu, K.K.[No abstract available]Item Virtual medical board: A distributed Bayesian agent based approach(Knowledge Systems Institute Graduate School office@ksi.edu, 2013) Dutta, A.; Acharya, S.; Krishna, A.; Bhattacharya, S.Distributed Decision Making has become of increasing importance to get solution of different real life problems. Application of agent and multi agent system in this Distributed Decision Support System is an evolving paradigm. One of such real life problem is medical board formation. But always formation of a medical board with a group of expert physicians may not be always possible due to lack of infrastructure, availability, time etc. In these situations the role of multi agent based distributed decision making can comes into play. In this paper we develop a Virtual Medical Board System in which a number of software agents (expert agents) act as a group of expert physicians with knowledge base(KB), reasoning capability. They coordinate with each other to diagnose a patient. © © 2013 by Knowledge Systems Institute Graduate School.Item On the improved performance of luby transform codes over selective repeat ARQ in turbulent free space optical links(2013) Prakash, G.; Nayak, A.; Kulkarni, M.; Acharya, S.Free Space Optical (FSO) links are capable of offering high data transfer rates, secure and low interference links for connectivity as a last mile solution. However, atmospheric turbulence can degrade the performance for distances over 1 km. This degradation is in the form of packet loss and hence drop in the error performance. Error Control Coding (ECC) can be used to mitigate the effects of the atmospheric turbulence. In this paper we prove analytically and verify through simulations that Luby Transform(LT) Codes show an improved performance over Automatic Repeat Request(ARQ) schemes for FSO transmission. FSO systems are limited by the safety limits of the input power to the laser transmitter. A notable contribution in this paper is that we prove that this improvement with LT codes is within Maximum Permissible Exposure (MPE) limit for an FSO link for a BER performance of 10-5. © 2013 IEEE.Item Characterization of magnetorheological brake utilizing synthesized and commercial fluids(Elsevier Ltd, 2019) Acharya, S.; Shyam Saini Tak, R.; Bhanu Singh, S.; Kumar, H.Magnetorheological (MR) brakes produce braking torque due to variation in the magnetorheological properties of the MR fluid when external magnetic field is applied. In this study, MR fluids having 70% and 80% weight fractions of iron powder were prepared and MR brake characteristics were tested for prepared MR fluids and a commercial Lord MRF 132 DG fluid. It was found that there was an increase in braking torque with applied current to MR brake at all speeds indicating the MR effect. With increase in weight fraction, there is an increase in braking torque though the reduction in speed is not significant. However, in case of MRF 132 DG fluid, the decrease in rpm is significant especially at higher speeds. Though, the prepared fluids and commercial fluid produce closer braking torque values at higher currents, the increase in braking torque without magnetic field to that with magnetic field at maximum current of MR brake utilizing commercial fluid is very high due to its low viscous torque. Finally, analysis in finite element method magnetics software combined with analytical equations was used to compute torque and compared with experimental results of MR brake utilizing commercial fluid. © 2019 Elsevier Ltd.Item Optimal design and analyses of t-shaped rotor magnetorheological brake(Institute of Physics Publishing helen.craven@iop.org, 2019) Acharya, S.; Saini, R.S.S.; Kumar, H.Magnetorheological (MR) brakes, belonging to the class of electromagnetic brakes, have a potential to replace conventional hydraulic brakes owing to reversible, rapidly controllable torque characteristics. In this study, T-shaped rotor MR brake was considered due to their higher braking torque capability and compactness compared to other configurations of brake. Optimal design of the brake was performed considering brake rotor radius, rotor thickness, flange length, casing thickness, coil height and coil width. Magnetostatic analyses were performed for different combinations of parameters of the brake dimensions to compute the magnetic flux density generated in the MR fluid region and the torque ratio and mass were calculated. The optimum dimensions of the brake were determined based on maximization of torque ratio and minimization of mass of the brake using multi-objective Genetic algorithm optimization technique. Further, magnetostatic analyses of the T-rotor brake with optimal dimensions were performed and torque characteristics were compared with those obtained for brake with simple disk rotor. It was concluded that T-rotor brake produces higher braking torque compared to simple disk rotor type MR brake for similar dimensions. © 2019 IOP Publishing Ltd. All rights reserved.Item Broker-based mechanism for cloud provider selection(Inderscience Publishers, 2020) Achar, R.; Santhi Thilagam, P.; Acharya, S.Cloud computing has recently emerged as a new computing paradigm for delivering on demand virtualised computing resources over the internet on a pay-as-use basis. Applications hosted in cloud have different requirements which include both low level (resource) requirements and high level (performance) requirements. However, most of the cloud providers satisfy SLAs based on resource requirements rather than providing performance guarantees to applications. This gap creates a need for selecting a more suitable cloud provider who can satisfy performance requirements of applications along with resource requirements. This work aims at proposing a broker-based approach to rank cloud providers based on QoS requirements of customers. It helps the SaaS providers to save cost and complexity in choosing a suitable cloud provider for hosting applications. The experimental results show that proposed approach selects the suitable cloud provider for hosting various types of applications satisfying the needs of different cloud customers. © 2020 Inderscience Enterprises Ltd.Item Computational materials discovery and development for Li and non-Li advanced battery chemistries(International Association of Physical Chemists, 2023) Sharma, H.; Nazir, A.; Kasbe, A.; Kekarjawlekar, P.; Chatterjee, K.; Motevalian, S.; Claus, A.; Prakash, V.; Acharya, S.; Sahu, K.K.Since the discovery of batteries in the 1800s, their fascinating physical and chemical properties have led to much research on their synthesis and manufacturing. Though lithium-ion batteries have been crucial for civilization, they can still not meet all the growing demands for energy storage because of the geographical distribution of lithium resources and the intrinsic limitations in the cell energy density, performance, and reliability issues. As a result, non-Li-ion batteries are becoming increasingly popular alternatives. Designing novel materials with desired properties is crucial for a quicker transition to the green energy ecosystem. Na, K, Mg, Zn, Al ion, etc. batteries are considered the most alluring and promising. This article covers all these Li, non-Li, and metal-air cell chemistries. Recently, computational screening has proven to be an effective tool to accelerate the discovery of active materials for all these cell types. First-principles methods such as density functional theory, molecular dynamics, and Monte Carlo simulations have become established techniques for the preliminary, theoretical analysis of battery systems. These computational methods generate a wealth of data that might be immensely useful in the training and validating of artificial intelligence and machine learning techniques to reduce the time and capital expenditure needed for discovering advanced materials and final product development. This review aims to summarize the application of these techniques and the recent developments in computational methods to discover and develop advanced battery chemistries. © 2023 by the authors; licensee IAPC, Zagreb, Croatia.Item Towards the systematic development of medical networking technology(2011) Faust, O.; Shetty, R.; Vinitha Sree, S.V.; Acharya, S.; Acharya, R.; Ng, E.Y.K.; Poo, C.K.; Suri, J.Currently, there is a disparity in the availability of doctors between urban and rural areas of developing countries. Most experienced doctors and specialists, as well as advanced diagnostic technologies, are available in urban areas. People living in rural areas have less or sometimes even no access to affordable healthcare facilities. Increasing the number of doctors and charitable medical hospitals or deploying advanced medical technologies in these areas might not be economically feasible, especially in developing countries. We need to mobilize science and technology to master this complex, large scale problem in an objective, logical, and professional way. This can only be achieved with a collaborative effort where a team of experts works on both technical and non-technical aspects of this health care divide. In this paper we use a systems engineering framework to discuss hospital networks which might be solution for the problem. We argue that with the advancement in communication and networking technologies, economically middle class people and even some rural poor have access to internet and mobile communication systems. Thus, Hospital Digital Networking Technologies (HDNT), such as telemedicine, can be developed to utilize internet, mobile and satellite communication systems to connect primitive rural healthcare centers to well advanced modern urban setups and thereby provide better consultation and diagnostic care to the needy people. This paper describes requirements and limitations of the HDNTs. It also presents the features of telemedicine, the implementation issues and the application of wireless technologies in the field of medical networking. © 2009 Springer Science+Business Media, LLC.Item Electrical characterization of vacuum-deposited p-CdTe/n-ZnSe heterojunctions(Springer Nature, 2015) Acharya, S.; Bangera, K.V.; Shivakumar, G.K.In this paper, we report a heterojunction of p-CdTe/n-ZnSe fabricated on a quartz substrate using thermal evaporation technique. The materials have a larger band gap difference in comparison to other II–VI heterojunctions-involving CdTe. The larger band gap difference is expected to increase diffusion potential and photovoltaic conversion efficiency. The electrical conduction mechanism involved, barrier height and band offset at the interface that are crucial to determine device performance are evaluated using electrical characterization of heterojunction. The junction exhibited excellent rectification behavior with an estimated barrier height of 0.9 eV. © 2015, The Author(s).