Explanipedia

Rukmini Devi Institute of Advanced Studies, Affiliated to GGSIPU, Delhi-110085, India Open

A. N. Mishra, Ayushi Sharma · 2025

This research examines Reliance Jio's JioPhone initiative and its impact on the Indian telecom market. The study utilized personal interviews with common people and industry professionals from Reliance Jio, supplemented by a survey. This m…

Vasudhaiva Kutumbakam: Sustainable Pathways to Embrace the New World Order Open

A. N. Mishra · 2025

Study of global observables in O-O collisions at $\rm \sqrt s_{NN} = 7$ TeV using a transport Model Open

D. Behera, Neelkamal Mallick, S. Tripathy, Suraj Prasad, A. N. Mishra , et al. · 2025

FITLIGHT Technology in Football: Optimizing Peripheral Awareness and Reflex Training Open

Rakesh Rajak, A. N. Mishra · 2025

A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies Open

G. G. Barnaföldi, Neelkamal Mallick, Suraj Prasad, R. Sahoo, A. N. Mishra · 2025

We developed a deep learning feed-forward network for estimating elliptic flow ( v 2 ) coefficients in heavy-ion collisions from RHIC to LHC energies. The success of our model is mainly the estimation of v 2 from final state particle kinem…

A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies Open

G. G. Barnaföldi, Neelkamal Mallick, Suraj Prasad, R. Sahoo, A. N. Mishra · 2024

We developed a deep learning feed-forward network for estimating elliptic flow ($v_2$) coefficients in heavy-ion collisions from RHIC to LHC energies. The success of our model is mainly the estimation of $v_2$ from final state particle kin…

Light-Induced Metallic and Paramagnetic Defects in Halide Perovskites from Magnetic Resonance Open

A. N. Mishra, Michael A. Hope, Lyndon Emsley · 2024

Halide perovskites are promising next-generation solar cell materials, but their commercialization is hampered by their propensity to degrade under operating conditions, particularly under heat, humidity, and light. Identifying degradation…

Hydrogen Diffusion in Hybrid Perovskites from Exchange NMR Open

Michael A. Hope, A. N. Mishra, Lyndon Emsley · 2024

Ion migration is an important phenomenon affecting the performance of hybrid perovskite solar cells. It is particularly challenging, however, to disentangle the contribution of H⁺ diffusion from that of other ions, and the atomi…

Empowering Retail Intelligence Open

A. N. Mishra · 2024

Employing a mixed-methods approach, the study combines quantitative data from a survey and qualitative data from interviews with marketing professionals. Survey results demonstrate that personalized marketing messages based on sentiment an…

Exploring the QGP phase above the deconfinement temperature in pp and A − A collisions at LHC energies Open

A. N. Mishra, G. Paić, C. Pajares, Rolf P Scharenberg, B. K. Srivastava · 2024

Equation of State of Quark–Gluon Matter in the Clustering-of-Color-Sources Approach Open

A. N. Mishra, G. Paić, C. Pajares, Rolf P. Scharenberg, B. K. Srivastava · 2024

In the first few microseconds after the Big Bang, the hot dense matter was in the form of quark–gluon plasma consisting of free quarks and gluons. By colliding heavy nuclei at RHIC and LHC at a velocity close to the speed of light, we were…

Fraud-proof accounting: the power of blockchain technology (Blo-tech) Open

Asha Sharma, A. N. Mishra · 2024

Fraud-proof accounting: the power of blockchain technology (Blo-tech) Open

A. N. Mishra, Asha Sharma · 2024

Effect of event classifiers on jet quenching-like signatures in high-multiplicity $p+p$ collisions at $\sqrt{s} = 13$ TeV Open

H. Hushnud, Omveer Singh, S. K. Tripathy, A. N. Mishra, Kalyan Dey · 2023

The motivation behind exploring jet quenching-like phenomena in small systems arises from the experimental observation of heavy-ion-like behavior of particle production in high-multiplicity proton-proton ($p+p$) collisions. Quantifying the…

Quantifying the underlying event: investigating angular dependence of multiplicity classes and transverse-momentum spectra in high-energy pp collisions at LHC energies Open

A. N. Mishra, G. G. Barnaföldi, G. Paić · 2023

We present a study of the transverse momentum spectra of charged hadrons and their evolution as a function of their azimuthal position with respect to the leading particle in proton–proton collisions at = 13 TeV using the PYTHIA8 Monte…

Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies Open

Neelkamal Mallick, Suraj Prasad, A. N. Mishra, R. Sahoo, G. G. Barnaföldi · 2023

Recent developments of a deep learning feed-forward network for estimating elliptic flow (${v}_{2}$) coefficients in heavy-ion collisions have shown the prediction power of this technique. The success of the model is mainly the estimation …

A Deep Learning Based Estimator for Elliptic Flow in Heavy Ion Collisions Open

Neelkamal Mallick, Suraj Prasad, R. Sahoo, A. N. Mishra, G. G. Barnaföldi · 2023

Deep learning (DL)-based models are the most widely used machine learning models which have been applied to solve numerous problems in high-energy particle physics. The ability of the DL models to learn unique patterns and correlations fro…

Global properties in O+O collisions at $\sqrt{s_{NN}}$ = 7 TeV using AMPT model Open

D. Behera, Neelkamal Mallick, S. Tripathy, Suraj Prasad, A. N. Mishra , et al. · 2023

Extensive research on heavy-ion collisions at the Large Hadron Collider (LHC) and Relativistic Heavy Ion Collider (RHIC) has helped us produce and study the properties of quark-gluon plasma (QGP). Recent investigations hint towards the pos…

Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies Open

Neelkamal Mallick, Suraj Prasad, A. N. Mishra, R. Sahoo, G. G. Barnaföldi · 2023

Recent developments on a deep learning feed-forward network for estimating elliptic flow ($v_2$) coefficients in heavy-ion collisions have shown us the prediction power of this technique. The success of the model is mainly the estimation o…

Observing Changes in the Present and Paleo-Glacial Extents of Benchmark Glaciers in the Alaknanda Basin of Central Himalaya Open

S. N. Remya, T. H. Syed, Anil V. Kulkarni, H. C. Nainwal, A. N. Mishra , et al. · 2023

Predictions on global properties in O+O collisions at the Large Hadron Collider using a multi-phase transport model Open

D. Behera, Neelkamal Mallick, S. Tripathy, Suraj Prasad, A. N. Mishra , et al. · 2022

Dynamics of Hot QCD Matter -- Current Status and Developments Open

Santosh K. Das, P. Palni, Jhuma Sannigrahi, Jan‐e Alam, Cho Win Aung , et al. · 2022

The discovery and characterization of hot and dense QCD matter, known as Quark Gluon Plasma (QGP), remains the most international collaborative effort and synergy between theorists and experimentalists in modern nuclear physics to date. Th…

Molecular docking for rationalizing the use of linkers in polymer drug conjugates design for pegylated anti-inflammatory drug delivery Open

Vinay Sagar Verma, A. N. Mishra, Hemant Badwaik, Amit Alexander, Ajazuddin Ajazuddin · 2022

A smart linker is a crucial element throughout the creation of polymer-drug conjugates. It binds different portions or subunits altogether and may be freed by a suitable trigger, resulting in localized drug distribution and enhanced bioava…

DERConnect Open

Jan Kleissl, Adil Khurram, Keaton Chia, Scott Brown, A. N. Mishra , et al. · 2022

Distributed Energy Resources Connect (DERConnect) is a National Science Foundation user facility to facilitate testing of distributed communication and controls algorithms at scale. DERConnect caters to industry and academic users in the e…

Estimating elliptic flow coefficient in heavy ion collisions using deep learning Open

Neelkamal Mallick, Suraj Prasad, A. N. Mishra, R. Sahoo, F. Barile · 2022

Machine Learning (ML) techniques have been employed for the high energy physics (HEP) community since the early 80s to deal with a broad spectrum of problems. This work explores the prospects of using Deep Learning techniques to estimate e…

Jet Transport Coefficient at the Large Hadron Collider Energies in a Color String Percolation Approach Open

A. N. Mishra, Dushmanta Sahu, R. Sahoo · 2022

Within the color string percolation model (CSPM), jet transport coefficient, q^, is calculated for various multiplicity classes in proton-proton and centrality classes in nucleus-nucleus collisions at the Large Hadron Collider energies for…

Statistical Mechanical Interpretation of 2D Pauli Crystals Open

Swarnava Mitra, A. N. Mishra · 2022

A manifestation of the Pauli Exclusion Principle is observed when fermions are trapped in the ground state of a 2D harmonic oscillator trap at very low temperatures. This non-interaction of fermions results in the formation of Pauli crysta…

Ruminal Tympany: Looks like the green fodder is not so greener on the other side Open

Charu Sharma, A. N. Mishra, Deepika D Caesar, Anand Jain, Sanju Mandal , et al. · 2022

Ruminal tympany or bloat is a commonly found clinical condition in which the excessive accumulation of gas occurs in the rumen which results in distension of left abdominal wall. Primary Tympany is dietary in origin while the Secondary Tym…

Exploring the QGP phase above the deconfinement temperature in $pp$ and\n $A-A$ collisions at LHC energies Open

A. N. Mishra, G. Paić, C. Pajares, Rolf P Scharenberg, Brijesh Kumar Srivastava · 2022

In the present work we have analyzed the transverse momentum spectra of\ncharged particles in high multiplicity ${\\it pp}$ collisions at LHC energies\n$\\sqrt s = $ 5.02 and 13 TeV published by the ALICE Collaboration using the\nColor Str…

Prevalence of Candida species in Urinary Tract Infections from a Tertiary Care Hospital at Lucknow, Uttar Pradesh, India: A Retrospective Study Open

Neeti Mishra, Dayavanti Kumari, A. N. Mishra · 2022

Introduction: The presence of Candida in urine, called Candiduria. Immunocompromised individuals are more susceptible to this infection and it can cause life-threatening complications. Candida albicans is most common isolate in Urinary Tra…

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