Tootfinder

Kilovolt-Class $\beta-Ga_2O_3$ Field-Plated Schottky Barrier Diodes with MOCVD-Grown Intentionally $10^{15}$ $cm^{-3}$ Doped Drift Layers
Carl Peterson, Chinmoy Nath Saha, Rachel Kahler, Yizheng Liu, Akhila Mattapalli, Saurav Roy, Sriram Krishnamoorthy
https://arxiv.org/abs/2509.14403

Kilovolt-Class $β-Ga_2O_3$ Field-Plated Schottky Barrier Diodes with MOCVD-Grown Intentionally $10^{15}$ $cm^{-3}$ Doped Drift Layers
We report on the growth optimization of intentionally low-doped ($10^{15}$ $cm^{-3}$) high-quality $β-Ga_2O_3$ drift layers up to 10 $μm$ thick via MOCVD and the fabrication of kilovolt-class field plated Schottky barrier diodes on these thick drift layers. Homoepitaxial growth was performed on (010) $10^{15}$ $cm^{-3}$ substrates using TMGa as the Ga precursor. Growth parameters were systematically optimized to determine the best conditions for high quality thick growths with the given react…

Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
Xiao Yu, Baolin Peng, Michel Galley, Hao Cheng, Qianhui Wu, Janardhan Kulkarni, Suman Nath, Zhou Yu, Jianfeng Gao
https://arxiv.org/abs/2510.09577

Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
Reasoning models have recently shown remarkable progress in domains such as math and coding. However, their expert-level abilities in math and coding contrast sharply with their performance in long-horizon, interactive tasks such as web navigation and computer/phone-use. Inspired by literature on human cognition, we argue that current AI agents need ''vicarious trial and error'' - the capacity to mentally simulate alternative futures before acting - in order to enhance their understanding and p…

Temporal Cooperative Games
Ashwin Goyal, Drashthi Doshi, Swaprava Nath
https://arxiv.org/abs/2510.11255 https://arxiv.org/pdf/2510.11255

Temporal Cooperative Games
Classical cooperative game theory assumes that the worth of a coalition depends only on the set of agents involved, but in practice, it may also depend on the order in which agents arrive. Motivated by such scenarios, we introduce temporal cooperative games (TCG), where the worth $v$ becomes a function of the sequence of agents $π$ rather than just the set $S$. This shift calls for rethinking the underlying axioms. A key property in this temporal framework is the incentive for optimal arrival …

I2E2S2R Rumor Spreading Model in Homogeneous Network with Hesitating and Forgetting Mechanisms
Md. Nahid Hasan, Sujana Azmi Polin, Saiful Islam, Chandra Nath Podder
https://arxiv.org/abs/2510.10672

I2E2S2R Rumor Spreading Model in Homogeneous Network with Hesitating and Forgetting Mechanisms
The spreading and controlling of rumors have great impacts on our society. The transmission of infectious diseases and the spreading of rumors have some common scenarios. Like cross-infection propagation of diseases, two or many kinds of rumors or information may spread at the same time. In this paper, we propose a novel I2E2S2R rumor-spreading model in a homogeneous network. The rumor-free equilibrium, as well as the basic reproduction number, have been calculated from the mean-field equations…

Likes, Budgets, and Equilibria: Designing Contests for Socially Optimal Advertising
Sayantika Mandal, Harman Agrawal, Swaprava Nath
https://arxiv.org/abs/2510.11253 https://

Likes, Budgets, and Equilibria: Designing Contests for Socially Optimal Advertising
Firms (businesses, service providers, entertainment organizations, political parties, etc.) advertise on social networks to draw people's attention and improve their awareness of the brands of the firms. In all such cases, the competitive nature of their engagements gives rise to a game where the firms need to decide how to distribute their budget over the agents on a network to maximize their brand's awareness. The firms (players) therefore need to optimize how much budget they should put on t…

A Scalable AI Driven, IoT Integrated Cognitive Digital Twin for Multi-Modal Neuro-Oncological Prognostics and Tumor Kinetics Prediction using Enhanced Vision Transformer and XAI
Saptarshi Banerjee, Himadri Nath Saha, Utsho Banerjee, Rajarshi Karmakar, Jon Turdiev
https://arxiv.org/abs/2510.05123

A Scalable AI Driven, IoT Integrated Cognitive Digital Twin for Multi-Modal Neuro-Oncological Prognostics and Tumor Kinetics Prediction using Enhanced Vision Transformer and XAI
Neuro-oncological prognostics are now vital in modern clinical neuroscience because brain tumors pose significant challenges in detection and management. To tackle this issue, we propose a cognitive digital twin framework that combines real-time EEG signals from a wearable skullcap with structural MRI data for dynamic and personalized tumor monitoring. At the heart of this framework is an Enhanced Vision Transformer (ViT++) that includes innovative components like Patch-Level Attention Regulari…

Effect of nearby Metals on Electro-Quasistatic Human Body Communication
Samyadip Sarkar, Arunashish Datta, David Yang, Mayukh Nath, Shovan Maity, Shreyas Sen
https://arxiv.org/abs/2510.04409

Effect of nearby Metals on Electro-Quasistatic Human Body Communication
In recent decades Human Body Communication has emerged as a promising alternative to traditional radio wave communication, utilizing the body's conductive properties for low-power connectivity among wearables. This method harnesses the human body as an energy-efficient channel for data transmission within the electro-quasistatic frequency range, enabling advancements in human-machine interaction. While prior work has noted the role of parasitic return paths in such capacitively coupled systems,…

Faraday patterns, spin textures, spin-spin correlations and competing instabilities in a driven spin-1 antiferromagnetic Bose-Einstein condensate
Vaishakh Kargudri, Sandra M. Jose, Rejish Nath
https://arxiv.org/abs/2510.08087

Faraday patterns, spin textures, spin-spin correlations and competing instabilities in a driven spin-1 antiferromagnetic Bose-Einstein condensate
We study the formation of transient Faraday patterns and spin textures in driven quasi-one-dimensional and quasi-two-dimensional spin-1 Bose-Einstein condensates under the periodic modulation of $s$-wave scattering lengths $a_0$ and $a_2$, starting from the anti-ferromagnetic phase. This phase is characterized by a Bogoliubov spectrum consisting of three modes: one mode is gapped, while the other two are gapless. When $a_0$ is modulated and half of the modulation frequency lies below the gapped…

BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
Zehua Zhang, Ati Priya Bajaj, Divij Handa, Siyu Liu, Arvind S Raj, Hongkai Chen, Hulin Wang, Yibo Liu, Zion Leonahenahe Basque, Souradip Nath, Vishal Juneja, Nikhil Chapre, Yan Shoshitaishvili, Adam Doup\'e, Chitta Baral, Ruoyu Wang
https://arxiv.org/abs/2…

BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
Automatically compiling open-source software (OSS) projects is a vital, labor-intensive, and complex task, which makes it a good challenge for LLM Agents. Existing methods rely on manually curated rules and workflows, which cannot adapt to OSS that requires customized configuration or environment setup. Recent attempts using Large Language Models (LLMs) used selective evaluation on a subset of highly rated OSS, a practice that underestimates the realistic challenges of OSS compilation. In pract…

Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization
Devesh Nath, Haoran Yin, Glen Chou
https://arxiv.org/abs/2509.19688 ht…

Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization
We present a method for formal safety verification of learning-based generative motion planners. Generative motion planners (GMPs) offer advantages over traditional planners, but verifying the safety and dynamic feasibility of their outputs is difficult since neural network verification (NNV) tools scale only to a few hundred neurons, while GMPs often contain millions. To preserve GMP expressiveness while enabling verification, our key insight is to imitate the GMP by stabilizing references sam…

Crosslisted article(s) found for nlin.PS. https://arxiv.org/list/nlin.PS/new
[1/1]:
- Faraday patterns, spin textures, spin-spin correlations and competing instabilities in a driven s...
Vaishakh Kargudri, Sandra M. Jose, Rejish Nath

Infinite families of congruences for the second order mock theta function $\mathcal{B}(q)$
Hemjyoti Nath, Hirakjyoti Das
https://arxiv.org/abs/2509.20708 https://

Infinite families of congruences for the second order mock theta function $\mathcal{B}(q)$
The arithmetic properties of the second order mock theta function $\mathcal{B}(q)$, introduced by McIntosh, defined by \begin{equation*} \mathcal{B}(q) := \sum_{n \geq 0} \frac{q^n (-q;q^2)_n}{(q;q^2)_{n+1}} = \sum_{n \geq 0}b(n)q^n, \end{equation*} have been extensively studied. For instance, for all $n\ge0$, Kaur and Rana established congruences such as for all $n\ge0$, \begin{align*} b(12n+10) &\equiv 0 \pmod{36}, \quad b(18n+16) \equiv 0 \pmod{72}, \end{align*} Chen and Mao proved tha…

Recidivism and Peer Influence with LLM Text Embeddings in Low Security Correctional Facilities
Shanjukta Nath, Jiwon Hong, Jae Ho Chang, Keith Warren, Subhadeep Paul
https://arxiv.org/abs/2509.20634

Recidivism and Peer Influence with LLM Text Embeddings in Low Security Correctional Facilities
We find AI embeddings obtained using a pre-trained transformer-based Large Language Model (LLM) of 80,000-120,000 written affirmations and correction exchanges among residents in low-security correctional facilities to be highly predictive of recidivism. The prediction accuracy is 30\% higher with embedding vectors than with only pre-entry covariates. However, since the text embedding vectors are high-dimensional, we perform Zero-Shot classification of these texts to a low-dimensional vector of…

Broadband High-Temperature Multilayer Pyramid-Shaped Metamaterial Thermal Absorber for Thermophotovoltaic applications
Bibekananda Nath, Ahmed Zubair
https://arxiv.org/abs/2509.19499

Broadband High-Temperature Multilayer Pyramid-Shaped Metamaterial Thermal Absorber for Thermophotovoltaic applications
A broadband, thermally stable absorber is essential for thermophotovoltaic (TPV) systems to simultaneously convert solar and industrial waste heat into usable energy to meet growing power demands. Here, we proposed an ingenious polarization-independent truncated pyramid-shaped symmetric multilayer metamaterial absorber in a metal-insulator-metal-insulator (MIMI) architecture with almost complete absorption over a broad wavelength range. A total of six structures (W/AlN, Mo/AlN, Ta/AlN, Rh/MgO, …

Entrywise preservers of sign regularity
Projesh Nath Choudhury, Shivangi Yadav
https://arxiv.org/abs/2509.17902 https://arxiv.org/pdf/2509.17902

Entrywise preservers of sign regularity
Entrywise functions preserving positivity and related notions have a rich history, beginning with the seminal works of Schur, Pólya-Szegő, Schoenberg, and Rudin. Following their classical results, it is well-known that entrywise functions preserving positive semidefiniteness for matrices of all dimensions must be real analytic with non-negative Taylor coefficients. These works were taken forward in the last decade by Belton, Guillot, Khare, Putinar, and Rajaratnam. Recently, Belton-Guillot-Kh…

DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation
Suzannah Wistreich, Baiyu Shi, Stephen Tian, Samuel Clarke, Michael Nath, Chengyi Xu, Zhenan Bao, Jiajun Wu
https://arxiv.org/abs/2509.18830

Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Broadband High-Temperature Multilayer Pyramid-Shaped Metamaterial Thermal Absorber for Thermophot...
Bibekananda Nath, Ahmed Zubair

Robot Conga: A Leader-Follower Walking Approach to Sequential Path Following in Multi-Agent Systems
Pranav Tiwari, Soumyodipta Nath
https://arxiv.org/abs/2509.16482 https://

Robot Conga: A Leader-Follower Walking Approach to Sequential Path Following in Multi-Agent Systems
Coordinated path following in multi-agent systems is a key challenge in robotics, with applications in automated logistics, surveillance, and collaborative exploration. Traditional formation control techniques often rely on time-parameterized trajectories and path integrals, which can result in synchronization issues and rigid behavior. In this work, we address the problem of sequential path following, where agents maintain fixed spatial separation along a common trajectory, guided by a leader …

2.34 kV \b{eta}-Ga2O3 Vertical Trench RESURF Schottky Barrier Diode with sub-micron fin width
Chinmoy Nath Saha, Saurav Roy, Yizheng Liu, Carl Peterson, Sriram Krishnamoorthy
https://arxiv.org/abs/2509.21857

2.34 kV \b{eta}-Ga2O3 Vertical Trench RESURF Schottky Barrier Diode with sub-micron fin width
In this letter, we present a kilovolt-class \b{eta}-Ga2O3 vertical trench Schottky barrier diode with a field plate incorporating narrow fin width (Wfin) structures of sub-micron dimensions. We used a nanolaminate dielectric comprising a stack of multiple thin TiO2 and Al2O3 layers as RESURF dielectric and for field plate edge termination. Both Wfin of 200 nm and 500 nm demonstrate excellent on-state performance with specific on-resistance (Ron,sp) of 9.8-12 mohmcm2, and 10^10 rectification rat…

Crosslisted article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Broadband High-Temperature Multilayer Pyramid-Shaped Metamaterial Thermal Absorber for Thermophot...
Bibekananda Nath, Ahmed Zubair