EPJ Web of Conferences. Val. 251

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EPJ Web of Conferences

Vol. 251: 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EDP Sciences, 2021.

Under the general editorship: C. Biscarat, S. Campana, B. Hegner, S. Roiser, C. Rovelli, G. Stewart

The 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP), organised by CERN, took place as a virtual event from 17–21 May 2021. The conference attracted 1144 registered participants from 46 different countries. There were 207 scientific presentations made over the 5 days of the conference. These were divided between 30 long talks and 2 keynotes, which were presented in plenary sessions; and 175 short talks, which were presented in parallel sessions.

Fast simulation of the electromagnetic calorimeter response using Self-Attention Generative Adversarial Networks

Ratnikov F., Rogachev A., , in: EPJ Web of ConferencesVol. 251: 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021).: EDP Sciences, 2021. Ch. 03043.

Added: September 14, 2021

Research target: Physics Computer Science

Priority areas: IT and mathematics engineering science

Language: English

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Keywords: machine learning high energy physics Computing

Amplifying Latent Safety in Large Language Models via Gated Activation Steering

Roman Prosvirnin, Suslov A., Aleksei Soldatov et al., Computation 2026 Vol. 14 No. 10 Article 261

Abstract Safety-aligned language models often encode that a request is harmful yet still comply with it. We turn this gap between internal recognition and observable behavior into an inference-time defense. The proposed activation-steering method uses a multiplicative operator that amplifies the residual-stream component along a harm-recognition direction. Intervention strength scales with the model’s own assessment of ...

Added: October 27, 2026

PACTraD: Multi-Task Benchmark and Domain-Specific Attention Mechanism for Wildlife Classification, Detection, and Segmentation in Protected Area Camera Trap Data

Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Big Data and Cognitive Computing 2026 Vol. 10 No. 11 P. 1–52

Camera traps are a key tool for non-invasive wildlife monitoring, yet models trained on existing benchmarks often generalize poorly to new regions due to domain shift, class imbalance, and natural variability in illumination, season, and background. We introduce PACTraD, a benchmark of 116,973 annotated camera trap images collected in a protected area of the Baikal ...

Added: October 27, 2026

From frozen Coulomb decoherence to thermalization: Classical and quantum density-matrix routes to Balescu–Lenard and Landau kinetics

Budkov Y., Annals of Physics 2026 Vol. 495 No. 3 Article 170796

We study the density-matrix kinetics of a charged test particle in two types of Coulomb environment. For a prescribed Gaussian potential, averaging the random-unitary dynamics leads to a Born–Novikov memory equation; Novikov’s identity is exact, but its closure requires a second-order approximation. An equilibrium quantum bath instead yields a Born–Redfield equation with ordered correlators and ...

Added: October 26, 2026

On non-Abelian waves repeatedly changing sign at constant phases

Alexander S. Rabinowitch, International Journal of Modern Physics A 2026 Vol. 41 No. 30 Article 2650168

In this paper, we study a new class of wave solutions to the SU(2) Yang-Mills equations in the region outside field sources. They represent a significant addition to the wave solutions obtained in our previous publications describing non-Abelian transverse progressive waves propagating in the direction of the Cartesian z-axis. In the new paper, wave solutions to the considered system ...

Added: October 26, 2026

2026 10th Scientific School Dynamics of Complex Networks and their Applications

IEEE, 2026.

Proceedings of the X Scientific School "Dynamics of Complex Networks and their Applications" (DCNA'2026) contain papers of reports of scientists and specialists in the field of intelligent technologies, engineering education, research and design of complex networks. DCNA'2026 was held from 10 to 12 September 2026 in Moscow, Russia, as a part of the International Forum on Artificial Intelligence and ...

Added: October 26, 2026

A Curated Dataset for Chemical Characterization of Heated Tobacco Product Aerosol

Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Scientific data 2026 P. 1–20

We addressed the task of chemical characterization of the aerosol emitted by heated tobacco products (HTPs) and of the smoke emitted by conventional/commercial cigarettes, usually adopted as a reference. Emphasis was placed on quantifying constituents for enabling the identification of novel compounds through targeted and untargeted analyses, and the evaluation of reductions in toxicant exposure under ...

Added: October 26, 2026

Electrically driven Rabi dynamics of magnetic field induced corner states in a two-dimensional topological insulator

D.V. Khomitsky, Lavrukhina E. A., Krasavin D. P. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 114 No. 22 Article 225414

We study coherent electric manipulation of magnetic field induced localized states at a double kink of a helical edge in a HgTe/CdHgTe quantum well. An in-plane magnetic field opens a gap in the one-dimensional (1D) edge spectrum, while changes in the edge orientation generate localized in-gap states at the kinks. We show that, for suitable ...

Added: October 23, 2026

Stress tensor in fundamental measure theory of hard-sphere fluids: A thermomechanical approach

Budkov Y., Kalikin N., Journal of Chemical Physics 2026 Vol. 165 No. 16 Article 164108

We derive the local pressure tensor generated by the original Rosenfeld fundamental measure theory (FMT) for hard-sphere fluids from an arbitrary infinitesimal deformation. The variation of a finite-distance FMT kernel is written via the line integrals of the local deformation gradient along the straight segment connecting its end points. The resulting symmetric pressure tensor consists ...

Added: October 22, 2026

Parameterization and calibration of wild blueberry machine learning models to predict fruit-set in the northeast china bog blueberry agroecosystem

Qu H., Xiang R., Obsie E. Y. et al., Agronomy 2021

Data deficiency prevents the development of reliable machine learning models for many agroecosystems, especially those characterized by a dearth of knowledge derived from field data. However, other similar agroecosystems with extensive data resources can be of use. We propose a new predictive modeling approach based upon the concept of transfer learning to solve the problem ...

Added: October 22, 2026

A Multi-Feature Fusion Deep Neural Network with Attention for Multi-Task Crop Monitoring

Obsie E. Y., Zhan Y., Liu Y., Engineering Research Express 2026 Article 7

Maintaining plant health is crucial for crop quality, food security, and agricultural productivity. Although deep learning methods have shown strong potential for species, disease, and severity classification, most existing approaches tackle these tasks separately, failing to exploit shared representations and interdependencies among them. Furthermore, the variability of disease symptoms, such as subtle differences in size, ...

Added: October 22, 2026

Отсутствие отражения фонон-поляритона от края металлической маски на поверхности SiC

Ивченко В. С., Иевлева В. А., Matienko D. et al., Журнал технической физики 2026 № 9 С. 1738–1749

Задача о возбуждении бегущих фонон-поляритонных волн на поверхности полярного кристалла падающей извне световой волной (с частотой, близкой к частоте решеточных колебаний) решена теоретически только для бесконечной открытой поверхности кристалла. В случаях, когда часть поверхности покрыта металлической маской, препятствующей проникновению возбуждающего излучения к атомам среды, и эта маска имеет произвольную форму, общепризнанного решения неоднородной задачи нет. ...

Added: October 20, 2026

Исследование движения сферического фронта клеток в вязком матриксе: роль клеточных делений и взаимодействия клеток с матриксом при развитии опухолей

Logvenkov S. A., Известия РАН. Механика жидкости и газа 2026 № 3 С. 59–75

The problem of the evolution of cell volume fraction in a spherical aggregate composed of cells, extracellular matrix, and fluid is considered. The aggregate is surrounded by extracellular matrix. The problem formulation employs a multiphase model of a biological continuum, previously developed by the author, consisting of two actively interacting solid phases and a fluid. The propagation of ...

Added: October 20, 2026

Electrically driven Rabi dynamics of magnetic field induced corner states in a two-dimensional topological insulator

Lavrukhina E. A., Krasavin D. P., Krishtopenko S. S. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 114 No. 22 Article 225414

Added: October 19, 2026

A Neural Network Approach for Generating Libration Point Orbits

Lev Pyatko, Sergey Aksenov, Regular and Chaotic Dynamics 2026 Vol. 31 No. 5 P. 794–813

In the circular restricted three-body problem, families of periodic and quasi-periodic orbits exist in the vicinity of the libration points and are of significant interest for practical applications. This work presents a neural network-based algorithm for orbit construction and station-keeping, applicable to both periodic and quasi-periodic orbits near collinear libration points. The method employs a ...

Added: October 19, 2026

Основы теории информации

Vorontsova T., М.: Академия, 2025.

The textbook has been prepared in accordance with the requirements of the federal state educational standards for secondary vocational education and is intended for studying the professional modules “Information Security in Information and Telecommunication Systems and Networks Using Software and Hardware‑Software Tools, Including Cryptographic Protection Tools” and “Information Security in Automated Systems Using Software and ...

Added: October 19, 2026

Phase Transitions in the Ni2.14Mn0.81Fe0.05Ga Heusler Alloy under the Influence of a Magnetic Fild and Hydrostatic Pressure

Смерчанский П. С., Koledov V. V., Kamantsev A. P. et al., Physics of Metals and Metallography 2026 Vol. 127 No. 6-7 P. 689–693

Heusler alloys of the Ni2MnX family, where X = Ga, In, Sn, …, which have been shown to exhibit giant magnetocaloric effect (MCE) and magnetically controlled shape memory effect due to thermoelastic magnetostructural phase transition (MSPT), continue to attract attention. However, these functional properties are fully manifested in strong magnetic fields of at least several T. Currently, ...

Added: October 19, 2026

A Reproducible Microscopy Acquisition Pipeline and Microscopy-Aware Attention for Classification, Detection, and Segmentation of Microorganisms

Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 10 Article 330

Automated microscopic image analysis is essential for quantitative microbiology, yet manual acquisition and generic recognition models struggle with morphological variability and scene artifacts. We address both ends of this pipeline. First, we present a low-cost, open-source acquisition system, based on an Arduino UNO R3 microcontroller and NEMA 17 stepper motors, that automates focusing, magnification, and ...

Added: October 14, 2026

Structure and conformational dynamics of formamide molecule in the ground and lowest excited electronic states

Тукачев Н. В., Bataev V., Abramenkov A. et al., Computational and Theoretical Chemistry 2016 No. 1080 P. 23–32

Electronic state calculations, such as equilibrium geometry parameters, harmonic vibrational frequencies and potential barriers to conformational transitions (as well as conformer energy differences in excited states), using ab initio methods, such as MP2, CCSD(T), CASSCF, CASPT2 and MRCI, were carried out on the formamide molecule in the ground (S0) and the lowest excited singlet (S1) ...

Added: October 14, 2026

Conformational analysis of N-methylformamide in ground S0 and excited S1 and T1 electronic states

Тукачев Н. В., Bataev V. А., Godunov I. А., Journal of Quantitative Spectroscopy and Radiative Transfer 2016 Vol. 177 P. 291–300

For conformers of the N-methylformamide (HCONHCH3) molecule, calculations of equilibrium geometry parameters, harmonic vibration frequencies, energy differences and potential barriers to conformational transitions were performed in the ground (S0) and lowest excited singlet (S1) and triplet (T1) electronic states. In the S0 state, the molecule exists in trans and cis stable conformations (having Cs symmetry). ...

Added: October 14, 2026

A Three-Party W-State Quantum Secret Sharing Protocol with X-Gate Encoding and Forbidden-Outcome Detection

Timur Teregulov, Elena R. Loubenets, / Series Quantum Physics "arXiv". 2026. No. 2609.31472.

We develop a new three-party quantum secret-sharing (QSS) protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the efficiency of the proposed protocol and analyze its security against an internal adversary ...

Added: September 28, 2026

Scalable machine learning approach to disordered 𝑠-wave superconductors

Vyacheslav D. Neverov, Lukyanov A., Andrey V. Krasavin et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 No. 2 Article 024515

We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...

Added: September 5, 2026

On calibration of remote sensing retrievals of ecosystem respiration (Reco) with tower measurements over,Russian forests and wetlands

Shabanov N., Kuricheva O., Kurbatova J. et al., / Series Working Papers SSRN "Department of Economics Ca’ Foscari University of Venice". 2026.

The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...

Added: August 21, 2026

Three Algorithms for Merging Hierarchical Navigable Small World Graphs

Ponomarenko A., / Series Computer Science "arxiv.org". 2025.

This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...

Added: July 30, 2026

Can Humor Reveal Dark Personalities? Machine-Learning Detection of the Dark Tetrad

Glinkina L. S., Doptan E., Kosonogov V., Journal of Individual Differences 2026 No. 47(3) P. 132–143

This study investigates a novel method for assessing Dark Tetrad personality traits (Machiavellianism, Narcissism, Psychopathy, Everyday Sadism) through humor evaluation. Traditional self-report measures are limited by response biases, creating a need for indirect behavioral assessment. We hypothesized that individual differences in these traits would correlate with distinct patterns in evaluating visual humor (funniness, perceived kindness/cruelty, ...

Added: July 8, 2026