Effect of Waste Glass Powder on Thermal, Electrical and Mechanical Properties of Shellac Composites Monika Chaparia, Deepak Awana, Kanhaiya Lal Sikhwal, Ambesh Dixit, Umesh Kumar Dwivedi Journal of Applied Polymer Science, 2026 This study investigates the influence of waste glass powder on the electrical, thermal, mechanical, and dielectric properties of shellac‐based composites. Shellac is a natural biopolymer with excellent film‐forming ability and water repellence; however, its practical applications are limited by poor thermal stability. To overcome this limitation, waste glass powder was incorporated into the shellac matrix in varying proportions. The Shore‐A hardness increased significantly from ~67 for pure shellac to ~94 for the composite containing 60 wt.% glass powder, while density increased from 1.10 to 1.61 g/cm 3 . Tensile testing revealed optimum mechanical performance, with a maximum tensile strength of 3.38 N/mm 2 at 30 wt.% glass powder, representing an approximately 6.4‐fold enhancement over pristine shellac. The dielectric constant increased from ~3.5 for pure shellac to ~7.8 for the 60 wt.% glass‐filled composite and remained functionally stable up to ~130°C. Thermogravimetric and differential scanning calorimetry analyses confirmed improved thermal stability and delayed degradation compared to neat shellac, with the glass transition (softening) temperature increasing from ~49°C to ~61°C. Overall, the results demonstrate that waste glass powder effectively improves the performance of shellac composites. To the best of our knowledge, this is the first systematic study demonstrating waste‐glass‐reinforced shellac composites.
Neuromorphic Computing and High Accuracy (>94%) Pattern Recognition with Cu2SrSnS4-Based RRAM Devices Ankit Kumar Yadav, Vinayak S, Chandra Prakash, Ambesh Dixit ACS Applied Electronic Materials, 2026 In the present era of artificial intelligence, devices for smart and fast data computation are crucial for reducing vast amounts of power consumption. The existing von Neumann-based memory devices have limitations due to the discrete storage and computing units; in contrast, RRAM-based memory devices are under consideration as they can potentially surmount the von Neumann bottleneck. In the present work, Cu2SrSnS4 (CSTS)-based RRAM devices, in a Cu/CSTS/ITO configuration, are investigated for their potential to mimic the biological human brain for neuromorphic computing applications. The RRAM device exhibits stable resistive switching for 103 current–voltage cycles and retains the resistive state for more than 9.5 × 104 seconds. Furthermore, the neuromorphic characteristics, such as synaptic weight, PPF, STDP, and LTP/LTD, have also been successfully investigated together with the impact of humidity (85%) and different temperatures (300–360 K) on device characteristics. The Cu/CSTS/ITO RRAM device exhibits a good postsynaptic current (PSC) under a voltage pulse, demonstrating its capability for analog/digital coding and potential suitability for future spiking neural network (SNN) applications. The devices also exhibited excellent pattern recognition performance for the MNIST data set, with a synaptic device-based accuracy of over 94%, demonstrating the potential of such RRAM devices for neuromorphic computing.
Crystal System Classification of Phosphate Cathode Materials Using Machine Learning for Advanced Lithium-Ion Battery Yogesh Yadav, Sandeep Kumar Yadav, Vivek Vijay, Ambesh Dixit Energy Storage, 2026 We employed machine learning classification algorithms to predict the crystal systems, specifically triclinic, monoclinic, and orthorhombic, associated with Li–P–TM–O; (TM = Mn, Fe Co, Ni, V) based‐phosphate cathodes. Feature evaluation revealed that cathode properties depend on the crystal structure, and optimized classification strategies yield better predictability. Gradient Boosting Machines, Extremely Randomized Trees, and Random Forest‐based ensemble machine learning algorithms have demonstrated the best predictive capabilities for crystal systems in the Monte Carlo cross‐validation test. Additionally, sequential forward selection (SFS) is performed to find the utmost critical features influencing the accuracy of prediction for different machine learning models, with Volume, Band gap, and Sites as input features. The ensemble machine learning algorithms with 80.69% for Random Forest, 78.96% for Extremely Randomized Tree, and 80.40% for Gradient Boosting Machine approaches lead to the maximum accuracy toward crystallographic classification with stability, and the predicted materials can be the possible cathodes for lithium ion batteries. More importantly, the present approach can be extended to other groups of materials.
Boosting Iron-Ion Battery Performance with Porous Carbon Aerogel as High-Rate Charge/Discharge Cathode Jitendra Kumar Yadav, Anant Prakash Pandey, Bharti Rani, Priyanka Saini, Ambesh Dixit Batteries and Supercaps, 2026 Rechargeable Iron‐ion batteries (IIBs) are emerging as a sustainable alternative to conventional rechargeable batteries; however, their cathode development is hindered by sluggish Fe‐ion diffusion, limited conductivity, and interfacial instability. Addressing these challenges requires designing cathode materials with high conductivity, large surface area, and stable electrochemical interfaces. This work explores carbon aerogel (CA)‐based cathodes to overcome these limitations and enhance Fe‐ion storage performance. Highly porous CA, used as the cathode material, is synthesized using the sol–gel process and confirmed using transmission electron microscopy, field emission scanning electron microscopy, X‐ray diffraction, and Brunauer–Emmett‐Teller measurements. Detailed cyclic voltammetry is investigated at different scan rates to understand the characteristics of the Fe‐ion storage in CA hosts during cycling. The galvanostatic charging–discharging (GCD) is determined at various current densities, showing a high discharge capacity of ≈150 mAh g−1 and ≈45 mAh g−1 at 35 mA g−1 and 1000 mA g−1 discharge current densities, respectively. The capacity retention is more than ≈60%, with more than 85% Coulombic efficiency (CE) after 750 cycles at 1000 mA g−1, and fast charge–discharge characteristics of ≈18C rate. The galvanostatic intermittent titration technique (GITT) measurements are also performed to check the diffusion characteristics of the Fe‐ion during charging and discharging. A digital clock and 5V light‐emitting diode are connected to CA‐based Fe‐ion coin cells to demonstrate the potential of IIBs. A detailed electrochemical impedance spectroscopy and postmortem measurements before and after the GCD cycling suggest a slight degradation of electrochemical performance, which is attributed to the oxidation of the anode during cycling.
Strong plasmon absorption in InN thin films A. Dixit, C. Sudakar, J. S. Thakur, K. Padmanabhan, Sanjiv Kumar, R. Naik, V. M. Naik, G. Lawes Journal of Applied Physics, 2009
Bismuth ferrite microspheres as efficient cathode for high-capacity Al-ion rechargeable batteries B Rani, AP Pandey, JK Yadav, P Saini, A Dixit Journal of Power Sources 677, 239949 , 2026 2026
Thermally assisted interface engineering of optical and dielectric properties of amorphous SiC thin films A Kumar, M Singh, A Pandey, S Dutta, A Dixit Physica B: Condensed Matter, 418849 , 2026 2026
Spin-lattice coupling and incommensurate magnetism in multiferroic SR Maity, P Sahoo, S Kobayashi, S Kitou, S Kawaguchi, T Kamiyama, ... Physical Review B 113 (19), 195139 , 2026 2026
Photovoltaic Possibility of Cu2SiSe3 and Cu2SnS3 Ternary Chalcogenides-Single Junction to Tandem Architecture S Mandal, S Ramawat, S Kukreti, A Dixit arXiv preprint arXiv:2605.08312 , 2026 2026
Nanomaterials in Defence and Military Industry: Innovations for Enhanced Security and Operational Efficiency A Pandey, A Dixit Nanomaterials: Synthesis and Applications, 113-133 , 2026 2026
Estimating Tsallis entropy of several exponentially distributed populations N Kumar, A Dixit, V Vijay Communications in Statistics-Theory and Methods, 1-24 , 2026 2026
Ultra-sensitive and selective VS2 phototransistor with the persistent photogenerated current tail AK Yadav, N Kag, V Singh, A Dixit APL Electronic Devices 2 (1) , 2026 2026
High Resolution Microscopy and Raman Spectroscopic Studies on the Freshest Mukundpura Meteorite, Rajasthan, India: Presence of Nanodiamond D Chandrasekharam, U Govind, RP Tripathi, TH Amir, KM Sairam, ... arXiv preprint arXiv:2603.03360 , 2026 2026
Distorted polyhedral architecture enabled high thermoelectric performance of columnar double halide perovskites Cs2AgPdCl5 and Cs2AgPtCl5 VK Pandey, A Dixit, A Aziz, SG Kang, KC Bhamu arXiv preprint arXiv:2602.10789 , 2026 2026 Citations: 1
Synergistic effect of the electronic band delocalization and bond anharmonicity on the thermoelectric performance of Cs2TeX6 (X= Cl, Br, I) KC Bhamu, H Khan, VK Pandey, S Marethiya, A Dixit, AS Verma Available at SSRN 6194457 , 2026 2026
Phonon-coupled-IR photon correlation with crystal orientation of tungsten-oxide layers for mid-IR sensing applications B Singh, A Pandey, Sharmila, M Kumari, S Dutta, A Dixit, A Goswami Applied Physics A 132 (2), 94 , 2026 2026
Crystal System Classification of Phosphate Cathode Materials Using Machine Learning for Advanced Lithium‐Ion Battery Y Yadav, SK Yadav, V Vijay, A Dixit Energy Storage 8 (1), e70330 , 2026 2026
Boosting Iron‐Ion Battery Performance with Porous Carbon Aerogel as High‐Rate Charge/Discharge Cathode JK Yadav, AP Pandey, B Rani, P Saini, A Dixit Batteries & Supercaps 9 (2), e202500355 , 2026 2026
Synergistic effect of the electronic band delocalization and bond anharmonicity on the thermoelectric performance of Cs2TeX6 (X= Cl, Br, I) VK Pandey, S Marethiya, A Dixit, AS Verma, KC Bhamu arXiv preprint arXiv:2602.00562 , 2026 2026
Neuromorphic Computing and High Accuracy (>94%) Pattern Recognition with Cu 2 SrSnS 4 -Based RRAM Devices AK Yadav, V S, C Prakash, A Dixit ACS Applied Electronic Materials , 2026 2026
Non-Enzymatic Glucose sensing properties of NiO nanostructured flower decorated Exfoliated Graphite Electrodes P Choudhary, C Chetiwal, C Prakash, VK Singh, A Dixit arXiv preprint arXiv:2601.17444 , 2026 2026
Effect of Waste Glass Powder on Thermal, Electrical and Mechanical Properties of Shellac Composites M Chaparia, D Awana, KL Sikhwal, A Dixit, UK Dwivedi Journal of Applied Polymer Science, e70552 , 2026 2026
Strong anharmonicity guided weaker temperature-dependent phonon transport in : A chalcogen perovskite showing wavelike phonon tunneling S Ramawat, S Kukreti, A Dixit Physical Review B 113 (2), 024310 , 2026 2026
Insights into the mechanism of electrode degradation and performance enhancing strategies for iron-ion batteries using X-ray absorption spectroscopy JK Yadav, S Nandy, KH Chae, JP Singh, A Dixit Sustainable Energy & Fuels 10 (1), 334-348 , 2026 2026
NiO Nanoflowers for Non-Enzymatic Amperometric Detection of Glucose P Choudhary, C Chetiwal, VK Singh, A Dixit JoVE (Journal of Visualized Experiments), e68896 , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
Structural characterization of polycrystalline thin films by X-ray diffraction techniques A Pandey, S Dalal, S Dutta, A Dixit Journal of Materials Science: Materials in Electronics 32 (2), 1341-1368 , 2021 2021 Citations: 331
A review on quantum dot sensitized solar cells: Past, present and future towards carrier multiplication with a possibility for higher efficiency A Sahu, A Garg, A Dixit Solar Energy 203, 210-239 , 2020 2020 Citations: 220
Structural, magnetic, and electrical studies on polycrystalline transition-metal-doped BiFeO 3 thin films P Kharel, S Talebi, B Ramachandran, A Dixit, VM Naik, MB Sahana, ... Journal of Physics: Condensed Matter 21 (3), 036001 , 2009 2009 Citations: 196
Charge transfer and electronic transitions in polycrystalline B Ramachandran, A Dixit, R Naik, G Lawes, MSR Rao Physical Review B—Condensed Matter and Materials Physics 82 (1), 012102 , 2010 2010 Citations: 163
Microbial fuel cell powered by lipid extracted algae: a promising system for algal lipids and power generation A Khandelwal, A Vijay, A Dixit, M Chhabra Bioresource technology 247, 520-527 , 2018 2018 Citations: 151
Theoretical studies of single and tandem Cu2ZnSn (S/Se) 4 junction solar cells for enhanced efficiency GK Gupta, A Dixit Optical Materials 82, 11-20 , 2018 2018 Citations: 143
Defect engineered MoSSe Janus monolayer as a promising two dimensional material for NO2 and NO gas sensing R Chaurasiya, A Dixit Applied Surface Science 490, 204-219 , 2019 2019 Citations: 116
Rare‐earth doped iron oxide nanostructures for cancer theranostics: magnetic hyperthermia and magnetic resonance imaging SS Laha, ND Thorat, G Singh, CI Sathish, J Yi, A Dixit, A Vinu Small 18 (11), 2104855 , 2022 2022 Citations: 114
Electrical and impedance spectroscopy analysis of sol-gel derived spin coated Cu2ZnSnS4 solar cell GK Gupta, A Garg, A Dixit Journal of Applied Physics 123 (1) , 2018 2018 Citations: 101
Microwave-absorbing materials for stealth application: a holistic overview P Sahoo, L Saini, A Dixit Oxford Open Materials Science 3 (1), itac012 , 2023 2023 Citations: 98
Ruddlesden–Popper 2D perovskites of type (C 6 H 9 C 2 H 4 NH 3 ) 2 (CH 3 NH 3 ) n−1 Pb n I 3n+1 (n = 1–4) for optoelectronic applications M Rahil, RM Ansari, C Prakash, SS Islam, A Dixit, S Ahmad Scientific reports 12 (1), 2176 , 2022 2022 Citations: 94
Strain-mediated stability and electronic properties of WS2, Janus WSSe and WSe2 monolayers R Chaurasiya, A Dixit, R Pandey Superlattices and Microstructures 122, 268-279 , 2018 2018 Citations: 88
Aluminum–air batteries: current advances and promises with future directions B Rani, JK Yadav, P Saini, AP Pandey, A Dixit RSC advances 14 (25), 17628-17663 , 2024 2024 Citations: 86
Bandgap engineering by tuning particle size and crystallinity of SnO2–Fe2O3 nanocrystalline composite thin films MB Sahana, C Sudakar, G Setzler, A Dixit, JS Thakur, G Lawes, R Naik, ... Applied Physics Letters 93 (23) , 2008 2008 Citations: 85
Inorganic Lead‐Free Cs 2 AuBiCl 6 Perovskite Absorber and Cu 2 O Hole Transport Material Based Single‐Junction Solar Cells with 22.18% Power Conversion … AJ Kale, R Chaurasiya, A Dixit Advanced Theory and Simulations 4 (3), 2000224 , 2021 2021 Citations: 83
Quantum confinement effects and band gap engineering of SnO2 nanocrystals in a MgO matrix MB Sahana, C Sudakar, A Dixit, JS Thakur, R Naik, VM Naik Acta materialia 60 (3), 1072-1078 , 2012 2012 Citations: 82
Weak ferromagnetic ordering in Ca doped polycrystalline BiFeO3 B Ramachandran, A Dixit, R Naik, G Lawes, MS Ramachandra Rao Journal of Applied Physics 111 (2) , 2012 2012 Citations: 82
Ultrathin Janus WSSe buffer layer for W (S/Se) 2 absorber based solar cells: A hybrid, DFT and macroscopic, simulation studies R Chaurasiya, GK Gupta, A Dixit Solar Energy Materials and Solar Cells 201, 110076 , 2019 2019 Citations: 79
Fatty acids/1-dodecanol binary eutectic phase change materials for low temperature solar thermal applications: design, development and thermal analysis R Kumar, S Vyas, A Dixit Solar Energy 155, 1373-1379 , 2017 2017 Citations: 75
Ultrahigh sensitivity with excellent recovery time for NH 3 and NO 2 in pristine and defect mediated Janus WSSe monolayers R Chaurasiya, A Dixit Physical Chemistry Chemical Physics 22 (25), 13903-13922 , 2020 2020 Citations: 72