output
20082026
most citedDiagnosis of diabetes using classification mining techniques

334 citations

15 papers

gr-qc2026★ 2 cited

Chaotic Dynamics in Extremal Black Holes: A Challenge to the Chaos Bound

Surojit Dalui, Chiranjeeb Singha, Krishnakanta Bhattacharya

We investigate chaotic dynamics in extremal black holes by analyzing the motion of massless particles in both Reissner-Nordström and Kerr geometries. Two complementary approaches (…

cond-mat.mes-hall2026

Interlayer charge transfer from contact electrification in conducting micro and nanoscale thin film heterostructures

Sandeep Kumar, Ravindra G Bhardwaj

Contact electrification give rise to charge accumulation at the interface when two materials are brought into contact with each other. The charge accumulation at the interface will…

cond-mat.str-el2026

Emergence of a hidden-order phase well below the charge density wave transition in a topological Weyl semimetal (TaSe)I

Sk Kalimuddin, Sudipta Chatterjee, Arnab Bera +7

The emergence of a charge density wave (CDW) in a Weyl semimetal -- a correlated topological phase, is exceptionally rare in condensed matter systems. In this context, the quasi-on…

q-fin.CP2025★ 13 cited

A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection

Abhishek Sawaika, Swetang Krishna, Tushar Tomar +5

Rapid growth of digital transactions has led to a surge in fraudulent activities, challenging traditional detection methods in the financial sector. To tackle this problem, we intr…

hep-th2025★ 15 cited

Thermodynamic analysis of black holes with cloud of strings and quintessence via Barrow entropy

Usman Zafar, Kazuharu Bamba, Tabinda Rasheed +1

We explore a Reissner-Nordström Anti-de Sitter (RN-AdS) black hole with a cloud of string and quintessence to study thermodynamics and thermodynamic topology in the presence of Bar…

cs.DC2025★ 12 cited

When Federated Learning Meets Quantum Computing: Survey and Research Opportunities

Aakar Mathur, Ashish Gupta, Sajal K. Das

Quantum Federated Learning (QFL) is an emerging field that harnesses advances in Quantum Computing (QC) to improve the scalability and efficiency of decentralized Federated Learnin…