Expertini Research Research

Browse Research Papers

135,464+ open-access research outputs.

โœ• Clear
๐Ÿ” imre risi kondor
Showing 135464 results for "imre risi kondor"
Physics Preprint PDF DOI

Chemical Taxonomy of $\omega$~Centauri: Ten Populations Reveal a Multi-Phase Enrichment History

Furkan Akbaba, Olcay Plevne, Timur Sahin, Sena Aleyna Senturk ยท 2026

$\omega$~Centauri, the most massive globular cluster in the Milky Way, exhibits a level of stellar population complexity that has long resisted a unified chemical characterisation. We exploit high-resโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Enhancement of superconducting stiffness in hybrid superconducting-metallic bilayers

J. E. Ebot, Lorenzo Pizzino, Sam Mardazad, Johannes S. Hofmann, Thierry Giamarchi, Adrian Kantian ยท 2026

Boosting superconductivity by metallic reservoirs is the essence of Kivelson's bilayer proposal. One layer provides pairing to the electrons, while the weakly coupled metal provides additional phaseโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

Yujun Wu, Dongxu Zhang, Xinchen Li, Jinhang Xu, Yiling Duan, Yumou Liu, Jiabao Pan, Xuanhe Zhou, Jingxuan Wei, Siyuan Li, Jintao Chen, Conghui He, Cheng Tan ยท 2026

Existing research infrastructure is fundamentally document-centric, providing citation links between papers but lacking explicit representations of methodological evolution. In particular, it does notโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Weak-to-Strong Measurement Transition with Thermal Instabilities

Marcos V. S. Lima, Carlos H. S. Vieira, Irismar G. da Paz, Pedro R. Dieguez, Lucas S. Marinho ยท 2026

Quantum measurement is physically realized through a finite dynamical interaction between a system and a measuring apparatus, giving rise to a continuous transition from weak to strong regimes. While โ€ฆ

Read Paper โ†’
Economics & Finance Preprint PDF DOI

Measuring the risk or reducing it, that is the question: is risk measurement necessary for risk reduction?

Pierpaolo Uberti ยท 2026

In this research, starting from a widely accepted definition of risk, we support the idea that risk reduction is a more realistic objective than risk minimization, which represents a theoretical utopiโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Akita: A High Usability Simulation Framework for Computer Architecture

Sabila Al Jannat, Ying Li, Mengyang He, Xuzhong Wang, Huizhi Zhao, Jingxiang Sun, Daoxuan Xu, Enze Xu, Yifan Sun ยท 2026

Computer architecture simulation is essential for evaluating new designs without the need for costly tapeout. The community has developed dozens of valuable simulators that have enabled significant arโ€ฆ

Read Paper โ†’
Sociology & Anthropology Preprint PDF DOI

Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach

Ahmed Hossain, Xiaoduan Sun, Subasish Das ยท 2026

Although intersections are the most complex parts of the roadway network, pedestrian crashes at non-intersection locations are disproportionately frequent, highlighting a serious traffic safety concerโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

PROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking

Qing Lyu, Jeremy Hudson, Mohammad Kawas, Yuming Jiang, Chenyu You, Christopher T Whitlow ยท 2026

Individualized Alzheimer's disease (AD) progression prediction requires models that use irregular visits, account for censoring, avoid diagnostic leakage, and provide calibrated horizon risks. We propโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding

Smit Jivani, Sarvam Maheshwari, Sunita Sarawagi ยท 2026

Large language models (LLMs) have revolutionized Text-to-SQL generation, allowing users to query structured data using natural language with growing ease. Yet, real-world deployment remains challenginโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Characterizing Path-Independent Fees: A Route to Zero Impermanent Loss in CPMMs

Andrey Voronin, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich ยท 2026

Constant Product Market Makers use fees that are typically fixed proportions of trade size. When these fees are automatically reinvested into the pool, as in Uniswap~V2 and some designs of Uniswap V4,โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

From Impermanent Loss to Sustainable Gain: Quantifying Profitability Zones for Liquidity Providers on DEX

Ignat Melnikov, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich ยท 2026

Decentralized Finance (DeFi) is a rapidly evolving segment of blockchain technology that enables a transformative approach to financial services through Web3 applications. By leveraging smart contractโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

The Synergistic Route to Stretched Criticality

Lorenzo Lucarini, Sandro Meloni, Pablo Villegas ยท 2026

Griffiths phases are typically associated with quenched disorder, while frustration gives rise to multistability and spin-glass behavior. Whether extended criticality can arise in other contexts remaiโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Propelling catalytic structures using active phase separation

Benjamin Sorkin, Ned S. Wingreen ยท 2026

Living systems routinely consume energy to achieve motility, often using intricate biomolecular machinery. In this work, we show that active droplets can sustain indefinite self-propulsion of a spheriโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction

Martin Schottlender, Pengjie Zhou, Veronika Volkova, Fatima Rani, Ruifeng Zheng, Juan A. Cabrera, Frank H.P. Fitzek, Pit Hofmann ยท 2026

Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking research paradigm: Synthetโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

Logan G Wright, Tianyu Wang, Tatsuhiro Onodera, Peter L. McMahon ยท 2026

Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks -- text and code generation, question answering, suโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Simulating clinical interventions with a generative multimodal model of human physiology

Guy Lutsker, Gal Sapir, Jordi Merino, Smadar Shilo, Anastasia Godneva, Eli Meirom, Shie Mannor, Hagai Rossman, Gal Chechik, Eran Segal ยท 2026

Understanding how human health changes over time, and why responses to interventions vary between individuals, remains a central challenge in medicine. Here we present HealthFormer, a decoder-only traโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Unentangled stoquastic Merlin-Arthur proof systems: the power of unentanglement without destructive interference

Yupan Liu, Pei Wu ยท 2026

Stoquasticity, originating in sign-problem-free physical systems, gives rise to $\sf StoqMA$, introduced by Bravyi, Bessen, and Terhal (2006), a quantum-inspired intermediate class between $\sf MA$ anโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Modeling Clinical Concern Trajectories in Language Model Agents

Sukesh Subaharan, Venkatesan VS, Murugadasan P, Sivakumar D, Gautham N, Ganeshkumar M ยท 2026

Large language model (LLM) agents deployed in clinical settings often exhibit abrupt, threshold-driven behavior, offering little visibility into accumulating risk prior to escalation. In real-world caโ€ฆ

Read Paper โ†’
Economics & Finance Preprint PDF DOI

Distributionally Robust Insurance under Bregman-Wasserstein Divergence

Wenjun Jiang, Qingqing Zhang, Yiying Zhang ยท 2026

This paper investigates two optimal insurance contracting problems under distributional uncertainty from the perspective of a potential policyholder, utilizing a Bregman-Wasserstein (BW) ball to charaโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

AME-PIM: Can Memory be Your Next Tensor Accelerator?

Emanuele Venieri, Simone Manoni, Alberto Florian, Jaehyun Park, Kyomin Sohn, Andrea Bartolini ยท 2026

High Bandwidth Memory with Processing-in-Memory (HBM-PIM) offers an opportunity to reduce data movement by executing computation directly inside memory, but current commercial platforms expose limitedโ€ฆ

Read Paper โ†’
Page 1 of 6774 Next โ†’