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228+ open-access research outputs.

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Showing 228 results for "elena grigorescu"
Physics Preprint PDF DOI

Record accumulation of antiprotons in a Penning-Malmberg Trap and their preparation for improved production of antihydrogen beams

B. Lee, B. Kim, P. Adrich, I. Belosevic, M. Chung, P. Comini, P. Crivelli, P. Debu, S. Geffroy, P. Guichard, P. A. Hervieux, L. Hilico, P. Indelicato, S. Jonsell, S. Kim, E. S. Kim, N. Kuroda, L. Liszkay, D. Lunney, G. Manfredi, B. Mansoulie, M. Matusiak, V. Nesvizhevsky, F. Nez, K. Park, E. Perez, P. Perez, C. Regenfus, C. Roumegou, J. Y. Rousse, F. Schmidt Kaler, K. Szymczyk, T. A. Tanaka, B. Tuchming, D. P. van der Werf, D. Won, S. Wronka, P. Yzombard ยท 2026

CERN's AD/ELENA ``antimatter factory'' - unique worldwide - serves several experiments, all of which use electromagnetic traps to accumulate antiprotons for fundamental science. The GBAR experiment emโ€ฆ

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Computer Science Preprint PDF DOI

FLEX: Joint UL/DL and QoS-Aware Scheduling for Dynamic TDD in Industrial 5G and Beyond

Leonard Kleinberger, Michael Gundall, Hans D. Schotten ยท 2026

Industrial 5G deployments using Time Division Duplex (TDD) networks face a critical challenge: existing schedulers rely on static configuration of Uplink (UL) to Downlink (DL) resource ratios, failingโ€ฆ

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Computer Science Preprint PDF DOI

When Relaxation Does Not Help: RLDCs with Small Soundness Yield LDCs

Kuan Cheng, Xin Li, Songtao Mao ยท 2026

Locally decodable codes (LDCs) are error correction codes that allow recovery of any single message symbol by probing only a small number of positions from the (possibly corrupted) codeword. Relaxed lโ€ฆ

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Computer Science Preprint PDF DOI

ELANA: A Simple Energy and Latency Analyzer for LLMs

Hung-Yueh Chiang, Bokun Wang, Diana Marculescu ยท 2025

The latency and power consumption of large language models (LLMs) are major constraints when serving them across a wide spectrum of hardware platforms, from mobile edge devices to cloud GPU clusters. โ€ฆ

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Computer Science Preprint PDF DOI

ChronoRAN: Analyzing Latency in 5G Systems

Arman Maghsoudnia, Aoyu Gong, Raphael Cannata, Dan Mihai Dumitriu, Haitham Hassanieh ยท 2025

This paper presents ChronoRAN, a mathematical framework for accurately computing one-way latency (for uplink and downlink) in the 5G RAN across diverse system configurations. ChronoRAN models latency โ€ฆ

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Physics Preprint PDF DOI

Toward a Comprehensive Exploration of Flavored Dark Matter Models

Benedetta Belfatto, Monika Blanke, Jan Heisig, Michael Kramer, Lena Rathmann, Felix Wilsch ยท 2025

We present a comprehensive framework for the study of flavored dark matter models, combining relic density calculations with direct and indirect detection limits, collider constraints, and a global anโ€ฆ

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Physics Preprint PDF DOI

ELENA: a software for fast and precise computation of first order phase transitions and gravitational waves production in particle physics models

Francesco Costa, Jaime Hoefken Zink, Michele Lucente, Silvia Pascoli, Salvador Rosauro-Alcaraz ยท 2025

We present ELENA (EvaLuator of tunnElliNg Actions), an open-source Python package designed to compute the full evolution of first-order phase transitions in the early Universe generated by particle phโ€ฆ

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AI & Data Science Preprint PDF DOI

Anatomy of a Feeling: Narrating Embodied Emotions via Large Vision-Language Models

Mohammad Saim, Phan Anh Duong, Cat Luong, Aniket Bhanderi, Tianyu Jiang ยท 2025

The embodiment of emotional reactions from body parts contains rich information about our affective experiences. We propose a framework that utilizes state-of-the-art large vision-language models (LVLโ€ฆ

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Computer Science Preprint PDF DOI

Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference

Haoran Wu, Can Xiao, Jiayi Nie, Xuan Guo, Binglei Lou, Jeffrey T. H. Wong, Zhiwen Mo, Cheng Zhang, Przemyslaw Forys, Chengyang Ai, Timi Adeniran, Wayne Luk, Hongxiang Fan, Jianyi Cheng, Timothy M. Jones, Rika Antonova, Robert Mullins, Aaron Zhao ยท 2025

LLMs now form the backbone of AI agents across a diverse range of applications, including tool use, command-line interfaces, and web or computer interaction. These agentic LLM inference tasks are fundโ€ฆ

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Mathematics Preprint PDF DOI

Singularidades para as solu\c{c}\~{o}es das Equa\c{c}\~{o}es de Navier-Stokes and Euler e o Problema do Mil\^{e}nio

Milton C. Lopes Filho, Helena J. Nussenzveig Lopes ยท 2025

The purpose of this note is to offer a birds-eye view on the history and the state-of-the-art in the research surrounding the Millenium Prize problem for the Navier-Stokes equations, the general problโ€ฆ

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Computer Science Preprint PDF DOI

A General Framework for Low Soundness Homomorphism Testing

Tushant Mittal, Sourya Roy ยท 2025

We introduce a general framework to design and analyze algorithms for the problem of testing homomorphisms between finite groups in the low-soundness regime. In this regime, we give the first constaโ€ฆ

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AI & Data Science Preprint PDF DOI

Classification errors distort findings in automated speech processing: examples and solutions from child-development research

Lucas Gautheron, Evan Kidd, Anton Malko, Marvin Lavechin, Alejandrina Cristia ยท 2025

With the advent of wearable recorders, scientists are increasingly turning to automated methods of analysis of audio and video data in order to measure children's experience, behavior, and outcomes, wโ€ฆ

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Engineering Preprint PDF DOI

3GPP NR V2X Mode 2d: Analysis of Distributed Scheduling for Groupcast using ns-3 5G LENA Simulator

Thomas Fehrenbach, Luis Omar Ortiz Abrego, Cornelius Hellge, Thomas Schierl, Jorg Ott ยท 2025

Vehicle-to-everything (V2X) communication is a key technology for enabling intelligent transportation systems (ITS) that can improve road safety, traffic efficiency, and environmental sustainability. โ€ฆ

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Computer Science Preprint PDF DOI

Enabling Site-Specific Cellular Network Simulation Through Ray-Tracing-Driven ns-3

Tanguy Ropitault, Matteo Bordin, Paolo Testolina, Michele Polese, Pedram Johari, Nada Golmie, Tommaso Melodia ยท 2025

Evaluating cellular systems, from 5G New Radio (NR) and 5G-Advanced to 6G, is challenging because the performance emerges from the tight coupling of propagation, beam management, scheduling, and higheโ€ฆ

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Computer Science Preprint PDF DOI

Vehicular Cloud Computing: A cost-effective alternative to Edge Computing in 5G networks

Rosario Patane, Nadjib Achir, Andrea Araldo, Lila Boukhatem ยท 2025

Edge Computing (EC) is a computational paradigm that involves deploying resources such as CPUs and GPUs near end-users, enabling low-latency applications like augmented reality and real-time gaming. Hโ€ฆ

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Engineering Preprint PDF DOI

HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention

Miguel Camelo Botero, Esra Aycan Beyazit, Nina Slamnik-Krijestorac, Johann M. Marquez-Barja ยท 2025

Accurate channel estimation is critical for high-performance Orthogonal Frequency-Division Multiplexing systems such as 5G New Radio, particularly under low signal-to-noise ratio and stringent latencyโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Fully analytical propagator for lunar satellite orbits in closed form

Rita Mastroianni, Edoardo Legnaro, Christos Efthymiopoulos ยท 2025

We present a fully analytical propagator for the orbits of lunar artificial satellites in a lunar gravity and third-body model sufficiently precise for a wide range of practical applications. The gravโ€ฆ

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Physics Preprint PDF DOI

The PUMA offline ion source beamline

Moritz Schlaich, Paul Fischer, Paul Florian Giesel, Clara Klink, Alexandre Obertelli, Lutz Schweikhard, Frank Wienholtz ยท 2025

The antiProton Unstable Matter Annihilation experiment (PUMA) at CERN aims to study the nucleonic composition in the matter density tail of stable and radioactive nuclei using low-energy antiprotons. โ€ฆ

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Computer Science Preprint PDF DOI

The H-Elena Trojan Virus to Infect Model Weights: A Wake-Up Call on the Security Risks of Malicious Fine-Tuning

Virilo Tejedor, Cristina Zuheros, Carlos Pelaez-Gonzalez, David Herrera-Poyatos, Andres Herrera-Poyatos, Francisco Herrera ยท 2025

Large Language Models (LLMs) offer powerful capabilities in text generation and are increasingly adopted across a wide range of domains. However, their open accessibility and fine-tuning capabilities โ€ฆ

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Physics Preprint PDF DOI

CERN AD/ELENA Antimatter Program

R. Caravita, A. Cridland Mathad, J. S. Hangst, M. Hori, B. M. Latacz, A. Obertelli, P. Perez, S. Ulmer, E. Widmann (on behalf of the Antiproton Decelerator User Community (ADUC)) ยท 2025

The CERN AD/ELENA Antimatter program studies the fundamental charge, parity, time (CPT) reversal invariance through high-precision studies of antiprotons, antihydrogen, and antiprotonic atoms. Utiliziโ€ฆ

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