Research on High-Performance Metal-Free Catalyst
In the paper titled “Ternary Heteroatom-doped Carbon as a High-performance Metal-free Catalyst for Electrochemical Ammonia Synthesis.” by Prof. Ranjit Thapa and his research Scholars, a novel approach to enhance nitrogen reduction reactions (NRR) is explored. This research, published in ACS Applied Materials & Interfaces, investigates the potential of nitrogen-doped carbon materials further enhanced by the incorporation of boron and fluorine heteroatoms. The study reveals significant advancements in electrocatalytic performance, emphasising the importance of efficient and sustainable ammonia production.
Abstract :
Electrochemical nitrogen reduction reaction (NRR) has garnered much attention, but the major challenge remains with efficient electrocatalysts. Metal-free carbonaceous materials, doped with heteroatoms and structural defects, present a promising alternative to metal-based catalysts. This study introduces a novel strategic stepwise synthesis strategy of defective nitrogen-doped carbon material, further doped with secondary heteroatoms boron and fluorine (FBDG). These secondary atoms in combination create additional active sites for nitrogen adsorption, activation and suppress the hydrogen evolution reaction (HER). The synergistic effect of three heteroatoms and induced defects in the catalyst enhances electron-donor behaviour, improving π bonding within the carbon framework and facilitating the electron transfer processes during NRR, resulting in a significantly high Faradaic efficiency of 38.1 % in the case of metal-free electrocatalysts. The theoretical calculation reveals that FBDG possesses sufficient charge density to reduce nitrogen at a low overpotential following an alternating free energy pathway. The reaction intermediates are thereby identified by in situ ATR-FTIR studies. For rapid screening of ammonia, we used a rotating ring disk system (RRDE) and did a kinetic study. The high efficiency, stability, and cost-effectiveness of FBDG position it as a strong contender for sustainable ammonia production and open up the way for future advancements in NRR.
Practical implementation:
The practical implementation of your research or the social implications associated with it.The FBDG catalyst achieved a remarkable Faradaic efficiency of 38.1 %. Theoretical studies confirmed that FBDG has a low overpotential, thereby increasing its appropriateness for NRR. The incorporation of fluorine and boron through co-doping in N-doped defective material enhances the N2 absorption energy, and from the charge density difference, we showed improved electron delivery from the host surface to the intermediate, which is essential for breaking the strong triple bond in N2 molecules, enhancing NRR. This work not only introduces a novel catalyst design strategy but also provides deep insights into the synergistic effects of heteroatom doping and defect engineering, paving the way for more efficient and sustainable ammonia production.
Collaborations
Dr Ramendra Sunder Dey, Assistant Professor (Scientist-D), INSA Associates, Institute of Nano Science and Technology, Mohali
- Published in Departmental News, News, Physics News, Research News
Research Paper on Efficient Resource Orchestration Algorithm
Dr Asif Thanedar, Assitant Professor at the Department of Computer Science and Engineering in research titled “An Efficient Resource Orchestration Algorithm for Enhancing Throughput in Fog Computing-enabled Vehicular Networks,” discusses issues faced by fog nodes (FNs) when serving connected vehicles during busy times. The research introduces an Efficient Resource Orchestration (ERO) algorithm designed to improve network performance by optimising resource use within the limits of FNs. The study aims to make a valuable contribution to the fields of vehicular fog computing and resource management.
Abstract :
The intelligent vehicles are connected to the roadside infrastructure, such as high power nodes (HPNs) and roadside units (RSUs), also called fog nodes (FNs), for obtaining on-demand services. These FNs possess finite resources and can provide services to limited vehicles. However, when vehicles reach the network spike in demand, the FNs become impuissant in furnishing services in the existing solutions. As a result, there is a significant reduction in the network throughput. Therefore, we propose an efficient resource orchestration (ERO) algorithm to maximize the throughput by reducing the allocated resource blocks (RBs) of FNs.
Explanation in layperson’s terms:
The throughput is maximized by migrating allotted RBs of vehicles in non-restricted coverage regions such that the allotted RBs of these vehicles are minimized among pairs of FNs.
We formulated the RBs migration problem in FCVNs to an integer linear programming (ILP) by scrutinizing the variables influencing the network throughput and FNs resource constraints.
We propose an ERO algorithm, a polynomial time algorithm, which constructs the minimum priority queue for optimal RBs migration between pairs of FNs to augment the network’s throughput. The ERO algorithm synchronizes the RBs allocation for offloading upstream services such that throughput is maximized by partitioning the coverage of FNs into restricted and non-restricted coverage regions.
Practical implementation:
For practical implementation we consider the FNs are equipped with large batteries and deployed across the highway segments of remote areas (i.e., forests or hill terrain) with no consistent power supply. In this context, we present an efficient resource orchestration (ERO) algorithm for harmonizing RB allocation and offloading upstream services among FNs to maximize the network throughput during battery depletion.
Collaborations:
Dr Sanjaya Kumar Panda, Assistant Professor, Dept. of CSE, National Institute of Technology Warangal.
Future Research Plans:
Resource Provisioning in Fog environment.
Energy Efficiency in vehicular fog computing (VFC).
Multi-objective optimization in fog computing.
- Published in CSE NEWS, Departmental News, News
Dr Priyanka Singh and Students Collaborate on Innovative Approach of Image Retrieval
The patent titled “A System and Method for Image Retrieval Using Color Model and Histograms“, with application number 202241053488, presents a novel approach to image retrieval. Authored by Syed Yaser, Sai Aashrit Surapaneni, and B Venkatesh Reddy, with guidance from Dr Priyanka Singh, Associate Professor, Department of Computer Science and Engineering, this work explores the efficient and effective retrieval of images from large databases. The findings contribute significantly to advancements in various fields, including medical imaging and digital libraries.
Abstract:
Content Based Image Retrieval; a widely researched area in the past few decades when it comes to image retrieval and searching images in a large database. The proposed scheme is based on Hue, Saturation, Value (HSV) components of an image and compares images by calculating the distance between histograms is used to implement CBIR using global and local comparison. Histogram of hue and saturation is generated for global comparison. The image in the database which has the minimum distance to our query image is the most similar image of all images. Which means when the distance is 0 the query image is the same as the target image which concludes the image retrieval process. The above algorithm has been completely implemented using python. Python was chosen because of its inbuilt libraries like cv2 for image processing, numpy for mathematical calculations and matplotlib for visualisation
Practical Implementation:
The system can be applied in various fields like medical imaging, digital libraries, surveillance, and e-commerce platforms where quick and accurate image search is necessary. It can also enhance accessibility tools for the visually impaired by recognising images based on content.
Collaborations:
This project was done with the support and guidance of professors and fellow students from the Department of Computer Science and Engineering at SRM University AP, Amaravati. The main team from SRM included:
Syed Yaser
Sai Aashrit Surapaneni
B Venkatesh Reddy
Dr Priyanka
Dr Naushad Varish from Koneru Lakshmaiah Education Foundation, Guntur, also made significant contributions to the work.
- Published in CSE NEWS, Departmental News, News, Research News
Dr Satish Kumar Takes Charge as the New Pro-Vice Chancellor
Prof. Ch Satish Kumar has assumed charge as the new Pro-Vice Chancellor of SRM University-AP. Dr Satish Kumar, who was the Vice Chancellor of SRM University, Sikkim has recently been entrusted the charge of Pro-Vice Chancellor of SRM University-AP by the varsity’s management.
Dr Satish Kumar completed his post-graduation from Andhra University and received his Ph.D. from Punjabi University. He then went on to complete his Master’s in Management at McGill University, Canada and in 2007, he joined the School of Public Health in SRM Group as a Dean.
Dr Satish Kumar commitment to teaching, research, and administration, gradually led to his progress in senior leadership roles. In 2015, he joined SRM University, Sikkim where he initially took on the role of University Registrar before being promoted to Vice-Chancellor.
With over four decades of experience in higher education and public health Prof. Satish is the belief that the purpose of Education exceeds beyond mere dissemination of knowledge, education should drive meaningful change within the society.
- Published in News