Tootfinder

Effect of viscoelasticity on electrohydrodynamic drop deformation
Santanu Kumar Das (Department of Mechanical Engineering, Indian Institute of Technology, Guwahati, 781039, Assam, India), Sarika Shivaji Bangar (Department of Mechanical Engineering, Indian Institute of Science, Bangalore, 560012, Karnataka, India), Amaresh Dalal (Department of Mechanical Engineering, Indian Institute of Technology, Guwahati, 781039, Assam, India), Gaurav Tomar (Department of Mechanical Engineering, Indi…

Effect of viscoelasticity on electrohydrodynamic drop deformation
The impact of viscoelasticity on drop deformation in the presence of an electric field is investigated using both analytical and numerical methods. The study focuses on two configurations: a viscoelastic drop suspended in a Newtonian fluid and a Newtonian drop suspended in a viscoelastic medium. Oldroyd-B constitutive equation is employed to model constant viscosity viscoelasticity. Effect of Deborah number (ratio of polymer relaxation time to convective time scale) on drop deformation is studi…

AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
Snehasis Mukhopadhyay, Aryan Kasat, Shivam Dubey, Rahul Karthikeyan, Dhruv Sood, Vinija Jain, Aman Chadha, Amitava Das
https://arxiv.org/abs/2509.02133

AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
Large Language Models (LLMs) can inadvertently reflect societal biases present in their training data, leading to harmful or prejudiced outputs. In the Indian context, our empirical evaluations across a suite of models reveal that biases around caste and religion are particularly salient. Yet, most existing mitigation strategies are Western-centric and fail to address these local nuances. We propose AMBEDKAR, a framework inspired by the egalitarian vision of Dr B. R. Ambedkar, architect of the …

ALMA reveals diverse dust-to-gas mass ratios and quenching modes in old quiescent galaxies
Giuliano Lorenzon, Darko Donevski, Allison W. S. Man, Michael Romano, Katherine E. Whitaker, Sirio Belli, Daizhong Liu, Minju M. Lee, Desika Narayanan, Arianna Long, Irene Shivaei, Ambra Nanni, Krzysztof Lisiecki, Prasad Sawant, Giulia Rodighiero, Ivana Damjanov, Junais, Romeel Dave, Ciro Pappalardo, Christopher Lovell, Mahmoud Hamed

ALMA reveals diverse dust-to-gas mass ratios and quenching modes in old quiescent galaxies
Recent discoveries of dust and molecular gas in quiescent galaxies (QGs) up to $z\sim3$ challenge the long-standing view that the interstellar medium depletes rapidly once star formation ceases, raising key questions of whether dust and gas co-evolve in QGs, and how their depletion links to stellar aging. We present deep Atacama Large Millimeter/submillimeter Array (ALMA) Band~6 continuum and CO(3--2) observations of 17 QGs at $z\sim0.4$ in the COSMOS field. Using the dust-to-molecular gas mass…

Decoding the dark proteome: Deep learning-enabled discovery of druggable enzymes in Wuchereria bancrofti
Shawnak Shivakumar, Jefferson Hernandez
https://arxiv.org/abs/2510.07337

Decoding the dark proteome: Deep learning-enabled discovery of druggable enzymes in Wuchereria bancrofti
Wuchereria bancrofti, the parasitic roundworm responsible for lymphatic filariasis, permanently disables over 36 million people and places 657 million at risk across 39 countries. A major bottleneck for drug discovery is the lack of functional annotation for more than 90 percent of the W. bancrofti dark proteome, leaving many potential targets unidentified. In this work, we present a novel computational pipeline that converts W. bancrofti's unannotated amino acid sequence data into precise four…

Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
https://arxiv.org/abs/2509.21389

Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
This survey explores the integration of Federated Learning (FL) with Network Intrusion Detection Systems (NIDS), with particular emphasis on deep learning and quantum machine learning approaches. FL enables collaborative model training across distributed devices while preserving data privacy-a critical requirement in network security contexts where sensitive traffic data cannot be centralized. Our comprehensive analysis systematically examines the full spectrum of FL architectures, deployment s…

Spin-dependent orbital selectivity and partial Kondo-screening in magnetically ordered Hund's metal
Shivani Bhardwaj, Sudhir K. Pandey
https://arxiv.org/abs/2510.02593 https…

Spin-dependent orbital selectivity and partial Kondo-screening in magnetically ordered Hund's metal
Hund's metallicity in 3$d$ transition metal oxides constitutes a rare class of compounds, since they have been long understood considering the dominance of Hubbard $U$. $\mathrm{LiV_2O_4}$\& $\mathrm{Sr_2CoO_4}$ belong to this rare class of metals; among them, $\mathrm{LiV_2O_4}$ has been the subject of extensive investigations for its unconventional heavy-fermion behavior, while studies on $\mathrm{Sr_2CoO_4}$ remain limited despite its anomalous ferromagnetic ground state. In this study, we r…

A flat-mode perspective on the boson peak in amorphous solids
Shivam Mahajan, Long-Zhou Huang, Cunyuan Jiang, Yun-Jiang Wang, Massimo Pica Ciamarra, Jie Zhang, Matteo Baggioli
https://arxiv.org/abs/2509.06340

A flat-mode perspective on the boson peak in amorphous solids
The boson peak is a characteristic anomaly of amorphous solids broadly defined as a low-energy excess in the density of states and heat capacity compared to the textbook predictions of Debye theory. The origin of this anomaly has long been the subject of ongoing debate and remains a topic of active controversy. While remaining agnostic about the microscopic origin of the phenomenon, we propose that the boson peak (BP) may universally originate from a dispersionless, optic-like excitation, which…

Probing dust torus radius--luminosity relation: An WISE view
Ashutosh Tomar, Suvendu Rakshit, Amit Kumar Mandal, Shivangi Pandey
https://arxiv.org/abs/2510.04517 https://…

Probing dust torus radius--luminosity relation: An WISE view
We present measurements of the dusty torus sizes of 51 active galactic nuclei (AGNs) with a redshift of $z<$ 0.8. Our analysis utilizes about 16 years of optical photometric data of 146 AGNs from various time-domain surveys, including ASAS-SN, CRTS, and ZTF, along with 14 years of infrared data in the $W$1 ($\sim$ 3.4 $μ$m) and $W$2 ($\sim$ 4.6 $μ$m) bands obtained from the Wide-Field Infrared Survey Explorer (WISE). The estimated dust torus size ranges from 1000 to 3000 days, using both the …

Controlling an altermagnetic spin density wave in the kagome magnet CsCr3Sb5
Zihao Huang, Chenchao Xu, Yande Que, Yi Liu, Ranjith Shivajirao, Zheng Jue Tong, Amit Kumar, Chao Cao, Guang-Han Cao, Hong-Jun Gao, Bent Weber
https://arxiv.org/abs/2510.05018

Controlling an altermagnetic spin density wave in the kagome magnet CsCr3Sb5
The interplay of charge and spin orders lies at the heart of correlated electron physics and plays a critical role in the emergence of unconventional quantum phases. Kagome magnets provide a particularly promising platform to investigate these phenomena, owing to their geometrically frustrated lattice structure. However, resolving spin and charge orders microscopically and establishing ways to control them remain fundamental challenges. Here, we demonstrate magnetic field control of an altermag…

Spectroscopic Reverberation Mapping for SARM: The Case of Mrk 1048 and Mrk 618
Shivangi Pandey, Suvendu Rakshit, S. Muneer, Jincen Jose, Ashutosh Tomar, Yan-Rong Li, Jian-Min Wang, C. S. Stalin, Jong-Hak Woo, Romain G. Petrov, James Leftley, Sebastian F. H\"onig, Amit Kumar Mandal, Tushar Ubarhande, Shu Wang, Michael Brotherton, Archana Gupta
https://

Spectroscopic Reverberation Mapping for SARM: The Case of Mrk 1048 and Mrk 618
Robust extragalactic distance measurements are crucial for resolving the persistent discrepancy in the value of the Hubble constant (H$_0$)). Active Galactic Nuclei (AGNs), through their compact and variable broad-line regions (BLRs), enable the determination of geometric distances when reverberation mapping (RM) is combined with spectroastrometry(SA). We report results from a spectroscopic RM campaign (October 2022 to March 2023) targeting two narrow-line Seyfert 1 galaxies, Mrk 1048 and Mrk 6…