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We develop a rigorous Temporal Coupled-Mode Theory (TCMT) specifically tailored for a single Floquet-sheet resonator governed by time-modulated conductivities. By invoking photon-number conservation during frequency conversion, we derive…

Optics · Physics 2026-02-24 Yao-Ting Wang , Hsu-Huei Chou

We study cluster and hypernuclei production in heavy-ion collisions at relativistic energies employing the Parton-Hadron-Quantum-Molecular-Dynamics (PHQMD) approach, a microscopic n-body transport model based on the QMD propagation of the…

An optical frequency comb consists of a set of discrete and equally spaced frequencies and has found wide applications in the synthesis over broad spectral frequencies of electromagnetic wave and precise optical frequency metrology. Despite…

Mesoscale and Nanoscale Physics · Physics 2021-07-14 Zhenyu Wang , H. Y. Yuan , Yunshan Cao , Z. -X. Li , Rembert A. Duine , Peng Yan

Connectionist temporal classification (CTC) is commonly adopted for sequence modeling tasks like speech recognition, where it is necessary to preserve order between the input and target sequences. However, CTC is only applied to…

Machine Learning · Computer Science 2023-12-18 Zheng Nan , Ting Dang , Vidhyasaharan Sethu , Beena Ahmed

We study possible optically excited bound states in monolayer MoS2: excitons and trions. For this purpose we formulate and apply a generalized time-dependent density-matrix functional approach for bound states of multiple excitations. The…

Mesoscale and Nanoscale Physics · Physics 2014-02-18 Alfredo Ramirez-Torres , Volodymyr Turkowski , Talat S. Rahman

As a model for molecular traffic control (MTC) we investigate the diffusion of hard core particles in crossed single-file systems. We consider a square lattice of single-files being connected to external reservoirs. The (vertical)…

Statistical Mechanics · Physics 2009-11-10 A. Brzank , G. M. Schuetz , P. Braeuer , J. Kaerger

Recent works have shown the potential of diffusion models in computer vision and natural language processing. Apart from the classical supervised learning fields, diffusion models have also shown strong competitiveness in reinforcement…

Machine Learning · Computer Science 2023-06-09 Jifeng Hu , Yanchao Sun , Sili Huang , SiYuan Guo , Hechang Chen , Li Shen , Lichao Sun , Yi Chang , Dacheng Tao

The issue of cluster production in heavy-ion collisions is addressed in a new manner, by implementing cluster correlation into the quantum molecular dynamics (QMD) transport model. We demonstrate for the first time, the good potentialities…

Nuclear Theory · Physics 2023-11-10 Hui-Gan Cheng , Zhao-Qing Feng

Final states with a vector boson and a hadronic jet allow one to infer the Born-level kinematics of the underlying hard scattering process, thereby probing the partonic structure of the colliding protons. At forward rapidities, the parton…

High Energy Physics - Phenomenology · Physics 2019-06-26 A. Gehrmann-De Ridder , T. Gehrmann , E. W. N. Glover , A. Huss , D. M. Walker

We develop a computational framework, based on the Boltzmann transport equation, with the ability to compute the thermal transport in nanostructured materials of any geometry using as the only input the bulk thermal conductivity…

Mesoscale and Nanoscale Physics · Physics 2014-10-20 Giuseppe Romano , Jeffrey C. Grossman

Model Predictive Control (MPC) has established itself as the primary methodology for constrained control, enabling autonomy across diverse applications. While model fidelity is crucial in MPC, solving the corresponding optimization problem…

Systems and Control · Electrical Eng. & Systems 2026-04-23 Lukas Schroth , Daniel Morton , Amon Lahr , Daniele Gammelli , Andrea Carron , Marco Pavone

Monte Carlo (MC) neutron transport provides detailed estimates of radiological quantities within fission reactors. This involves tracking individual neutrons through a computational geometry. CPU-based MC codes use multiple polymorphic…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-01 Elliott Biondo , Thomas Evans , Seth Johnson , Steven Hamilton

We review time-dependent multiconfiguration self-consistent-field (TD-MCSCF) method and time-dependent optimized coupled-cluster (TD-OCC) method for first-principles simulations of high-field phenomena such as tunneling ionization and…

Chemical Physics · Physics 2022-11-21 Takeshi Sato , Himadri Pathak , Yuki Orimo , Kenichi L. Ishikawa

Time crystals (TCs) are many-body systems displaying spontaneous breaking of time translation symmetry. Here, we demonstrate a TC using driven-dissipative condensates of microcavity exciton-polaritons, spontaneously formed from an…

Studies of muonic hydrogen atoms and molecules have been performed traditionally in bulk targets of gas, liquid or solid. At TRIUMF, Canada's meson facility, we have developed a new type of target system using multilayer thin films of solid…

In my talk I gave a status update on the extension of the CoLoRFulNNLO subtraction method for computing QCD jet cross sections with hadrons in the initial state. The scheme has been fully worked out previously for electron-positron…

High Energy Physics - Phenomenology · Physics 2018-07-16 Adam Kardos , Giuseppe Bevilacqua , Gábor Somogyi , Zoltán Trócsányi , Zoltán Tulipánt

Generation of random thermal particle momenta is a basic task in many problems, such as microscopic studies of equilibrium and transport properties of systems, or the conversion of a fluid to particles. In heavy-ion physics, the…

Nuclear Theory · Physics 2012-12-11 Denes Molnar

Blue pulses with few-cycle temporal durations hold significant value in attosecond science and ultrafast spectroscopy. In this work, we combine efficient broadband frequency doubling, multiplate continuum (MPC) post-compression and blue…

While twisted magnonic crystals (MCs) have recently gained attention for their intriguing linear phenomena, such as magnon flat bands, their nonlinear dynamics -- particularly the generation of magnonic frequency combs (MFCs) -- have…

Materials Science · Physics 2026-03-05 Minghao Li , Zhejunyu Jin , Zhaozhuo Zeng , Peng Yan

We investigate the end-to-end altitude estimation performance of a convolutional autoencoder-based interference mitigation approach for frequency-modulated continuous-wave (FMCW) radar altimeters. Specifically, we show that a Temporal…

Signal Processing · Electrical Eng. & Systems 2025-05-30 Charles E. Thornton , Jamie Sloop , Samuel Brown , Aaron Orndorff , William C. Headley , Stephen Young