Sanjay Kumar Singh

Copper induced highly selective catalytic conversion of glycerol to hydrogen and lactate over CuRu catalyst

Ankit Kumar, Bhanu Priya, Tushar A. Kharde, Abhijit Shrotri et autres

Diruthenium Catalyst for CO 2 and (Bi)carbonate Hydrogenation to Formate in Aqueous media

Jayashree Parthiban, Khanindra Kalita, Sanjay Kumar Singh

ABSTRACT Highly efficient CO 2 and (bi)carbonate hydrogenation to formate in water was achieved by exploiting the cooperative interaction of the two ruthenium centers in a series of water‐soluble diruthenium complexes [{( η 6 ‐arene)RuCl} 2 ( μ ‐ κ 2 : …

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Methanol Production from Aqueous Formaldehyde Using Ruthenium Imidazolylamine Complexes: Ligand-Tuned Selectivity

Khanindra Kalita, Ashwini Kumar Phukan, Sanjay Kumar Singh

The transformation of aqueous formaldehyde to H 2 and methanol is respectively governed by competing dehydrogenation and hydrogenation pathways in water. Herein, we demonstrated the tuning of product selectively, H 2 vs methanol from aqueous formaldehyde over molecular arene Ru complexes bearing …

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Measurement of Effective Atomic Number (Z eff ) and Electron Density in Superconductor (YBCO) accompanied by analysis of Am-241-Irradiated Zirconia

Manoj Kumar Gupta, Bhavnesh, Baltej Singh Sidhu, Amrit Kumar Singh et autres

This study presents a theoretical and experimental investigation of radiation interaction parameters in functional ceramics, focusing on high-temperature superconductor YBCO (Yttrium Barium Copper Oxide) and Zirconium dioxide (ZrO2) irradiated with Americium-241 (59.5 $\mathrm{keV} \gamma$-rays). The effective atomic number and electron density of …

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Utilizing a microfluidic approach for high-throughput synthesis of drug encapsulated Nanoliposomes

Vidhi Jain, Vishwa V. Gandhi, Ram Das, Beena Gobind Singh et autres

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Cover Feature: Ambient CO 2 Hydrogenation to Formate Over NiPd Catalyst (ChemCatChem 17/2025)

Jayashree Parthiban, Bhanu Priya, Rohit Kumar, Satoshi Suganuma et autres

The Cover Feature highlights a two-step integrated strategy for direct air capture (DAC) and subsequent conversion of CO2 into formate by using a bimetallic Ni9Pd1 catalytic system. To address the global challenge of rising atmospheric CO2 concentrations, S. K. Singh and co-workers …

Lithium‐Ion‐Induced Enhanced Hydrogen Uptake over MIL‐101(Cr) Metal‐Organic Frameworks

Dharmendra K. Panchariya, Sanjay Kumar Singh

A robust and straightforward strategy is demonstrated to improve MIL‐101(Cr) hydrogen uptake performance through systematic Li + ion doping. Several spectroanalytical techniques are employed to investigate the physical, chemical, morphological, and pore textural properties of the synthesized Li‐doped MIL‐101(Cr) and to establish …

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Ambient CO 2 Hydrogenation to Formate Over NiPd Catalyst

Jayashree Parthiban, Bhanu Priya, Rohit Kumar, Satoshi Suganuma et autres

Abstract The urgent need for sustainable CO 2 management has driven the development of efficient catalytic systems capable of converting CO 2 into value‐added chemicals under mild conditions. Herein, we report a Ni 9 Pd 1 catalyst with a low Pd content …

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Comprehensive Evaluation Of SRAM Cells: Design And Validation Of 6T To 10T Architectures

Neetu Rathi, Anil Kumar, Neeraj Gupta, Sanjay Kumar Singh

This study presents a comprehensive evaluation of Static Random-Access Memory (SRAM) cells focusing on the design and validation of architectures ranging from six-transistor (6T) to ten-transistor (10T) configurations. SRAM cells are critical components in modern integrated circuits, especially in cache memories where …

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Enriching Pre-Training Using Fuzzy Logic

Vandana Bharti, Abhinav Kumar, Anshul Sharma, Sanjay Kumar Singh

Graph representation learning advances graph machine learning by encoding structural and relational information into feature vectors. This study introduces a fuzzy logic-based pre-processing layer that enhances node representations by adding semantic diversity and contextual understanding. The layer models uncertainty and captures abstract …

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When Explainability Meets Vision AI: Analyzing CNNs, Transformers, and State-Space Models in Healthcare

Utkarsh Varman, Vandana Bharti, Anshul Sharma, Abhinav Kumar et autres

Ensuring reliability and interpretability in AI-driven medical imaging is vital for fostering trust in healthcare applications. Deep learning models, including Convolutional Neural Networks (CNNs), attention-based Transformers, and Mamba-based state-space models, have demonstrated significant advancements in classification performance. However, their black-box nature necessitates …

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Design, Testing, and Validation of SRAM Cells: From 6T to 10T Based on Identified Parameters

Neetu Rathi, Anil Kumar, Neeraj Gupta, Sanjay Kumar Singh

Static Random Access Memory (SRAM) technology is the latest technology must advance to satisfy the high-speed performance and low power consumption requirements of contemporary devices. The design, testing, and validation of SRAM cells with configurations ranging from six transistors (6T) to ten …

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