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Molecular Dynamics (MD) simulations are essential for understanding the atomic-level behavior of molecular systems, giving insights into their transitions and interactions. However, classical MD techniques are limited by the trade-off…

Biomolecules · Quantitative Biology 2026-04-21 Ziyang Yu , Wenbing Huang , Yang Liu

Moving a module in a modular robot is a very complex and error-prone process. Unlike in swarm, in the modular robots we are targeting, the moving module must keep the connection to, at least, one other module. In order to miniaturize each…

Robotics · Computer Science 2020-05-08 Benoit Piranda , Julien Bourgeois

This paper presents SimulatorCoder, an agent powered by large language models (LLMs), designed to generate and optimize deep neural network (DNN) accelerator simulators based on natural language descriptions. By integrating domain-specific…

Hardware Architecture · Computer Science 2026-02-20 Yuhuan Xia , Tun Li , Hongji Zhou , Xianfa Zhou , Chong Chen , Ruiyu Zhang

A set of signatures for physics processes of potential interests for the CLIC programme at 1 - 5 TeV are discussed. These signatures, that may correspond to the manifestation of different scenarios of new physics as well to Standard Model…

High Energy Physics - Phenomenology · Physics 2007-05-23 Marco Battaglia

Quantum simulation - the use of one quantum system to simulate a less controllable one - may provide an understanding of the many quantum systems which cannot be modeled using classical computers. Impressive progress on control and…

Our system introduces a modularized pneumatic actuating unit capable of delivering vibration, pressure, and impact feedback. Designed for adaptability, these modular tactile actuating units can be rapidly customized and reconfigured to suit…

Human-Computer Interaction · Computer Science 2024-11-11 Ahsan Raza , Seokhee Jeon , Mohammad Shadman Hashem

The Neural Turing Machine (NTM) is more expressive than all previously considered models because of its external memory. It can be viewed as a broader effort to use abstract external Interfaces and to learn a parametric model that interacts…

Machine Learning · Computer Science 2016-01-13 Wojciech Zaremba , Ilya Sutskever

The DYNK module allows element settings in SixTrack to be changed on a turn-by-turn basis. This document contains a technical description of the DYNK module in SixTrack. It is mainly intended for a developer or advanced user who wants to…

A robust pre-emptive kill switch for cold atom experiments is introduced to significantly reduce costly system reassembly or replacement. The design incorporates upper (alarm) and lower (evaporation) event detection mechanisms based on…

The udkm1Dsim toolbox is a collection of Python classes and routines to simulate the thermal, structural, and magnetic dynamics after laser excitation as well as the according X-ray scattering response in one-dimensional sample structures.…

Computational Physics · Physics 2021-05-31 Daniel Schick

Motivated by far-reaching applications ranging from quantum simulations of complex processes in physics and chemistry to quantum information processing, a broad effort is currently underway to build large-scale programmable quantum systems.…

Intelligent and reliable task planning is a core capability for generalized robotics, requiring a descriptive domain representation that sufficiently models all object and state information for the scene. We present CLIMB, a continual…

Robotics · Computer Science 2024-10-18 Walker Byrnes , Miroslav Bogdanovic , Avi Balakirsky , Stephen Balakirsky , Animesh Garg

The nuSTORM facility has been designed to deliver beams of electron neutrinos and muon neutrinos (and their anti-particles) from the decay of a stored muon beam with a central momentum of 3.8 GeV/c and a momentum acceptance of 10%. The…

Accelerator Physics · Physics 2017-03-20 D. Adey , S. K. Agarwalla , C. M. Ankenbrandt , R. Asfandiyarov , J. J. Back , G. Barker , E. Baussan , R. Bayes , S. Bhadra , V. Blackmore , A. Blondel , S. A. Bogacz , C. Booth , S. B. Boyd , A. Bravar , S. J. Brice , A. D. Bross , F. Cadoux , H. Cease , A. Cervera , J. Cobb , D. Colling , P. Coloma , L. Coney , A. Dobbs , J. Dobson , A. Donini , P. Dornan , M. Dracos , F. Dufour , R. Edgecock , J. Evans , M. Geelhoed , M. A. George , T. Ghosh , J. J. Gomez-Cadenas , A. de Gouvea , A. Haesler , G. Hanson , P. F. Harrison , M. Hartz , P. Hernandez , J. A. Hernando Morata , P. Hodgson , P. Huber , A. Izmaylov , Y. Karadzhov , T. Kobilarcik , J. Kopp , L. Kormos , A. Korzenev , Y. Kuno , A. Kurup , P. Kyberd , J. B. Lagrange , A. Laing , A. Liu , J. M. Link , K. Long , K. Mahn , C. Mariani , C. Martin , J. Martin , N. McCauley , K. T. McDonald , O. Mena , S. R. Mishra , N. Mokhov , J. Morfin , Y. Mori , W. Murray , D. Neuffer , R. Nichol , E. Noah , M. A. Palmer , S. Parke , S. Pascoli , J. Pasternak , M. Popovic , P. Ratoff , M. Ravonel , M. Rayner , S. Ricciardi , C. Rogers , P. Rubinov , E. Santos , A. Sato , T. Sen , E. Scantamburlo , J. K. Sedgbeer , D. R. Smith , P. J. Smith , J. T. Sobczyk , L. Soby , F. J. P. Soler , S. Soldner-Rembold , M. Sorel , P. Snopok , P. Stamoulis , L. Stanco , S. Striganov , H. A. Tanaka , I. J. Taylor , C. Touramanis , C. D. Tunnell , Y. Uchida , N. Vassilopoulos , M. O. Wascko , A. Weber , M. J. Wilking , E. Wildner , W. Winter , U. K. Yang

As DNNs are widely adopted in various application domains while demanding increasingly higher compute and memory requirements, designing efficient and performant NPUs (Neural Processing Units) is becoming more important. However, existing…

Hardware Architecture · Computer Science 2024-06-13 Hyungkyu Ham , Wonhyuk Yang , Yunseon Shin , Okkyun Woo , Guseul Heo , Sangyeop Lee , Jongse Park , Gwangsun Kim

We scale layered modal type theory to dependent types, introducing DeLaM, dependent layered modal type theory. This type theory is novel in that we have one uniform type theory in which we can not only compose and execute code, but also…

Logic in Computer Science · Computer Science 2024-07-09 Jason Z. S. Hu , Brigitte Pientka

Embedding efficient command operation into biochemical system has always been a research focus in synthetic biology. One of the key problems is how to sequence the chemical reactions that act as units of computation. The answer is to design…

Dynamical Systems · Mathematics 2022-09-08 Xiaopeng Shi , Chuanhou Gao

Quantum phase transitions are usually classified into discrete universality classes that typically only depend on symmetries and spatial dimensionalities. In this Letter, we demonstrate an opportunity to continuously vary the critical…

Quantum Physics · Physics 2019-01-24 Fan Yang , Shao-Jian Jiang , Fei Zhou

The Unified Modeling Language (UML) is commonly used in introductory Computer Science to teach basic object-oriented design. However, there appears to be a lack of suitable software to support this task. Many of the available programs that…

Human-Computer Interaction · Computer Science 2007-05-23 Scott Turner , Manuel A. Perez-Quinones , Stephen H. Edwards

With the burgeoning development in the realm of large language models (LLMs), the demand for efficient incremental training tailored to specific industries and domains continues to increase. Currently, the predominantly employed frameworks…

Computation and Language · Computer Science 2023-08-22 Yixuan Weng , Zhiqi Wang , Huanxuan Liao , Shizhu He , Shengping Liu , Kang Liu , Jun Zhao

Nuclear physics is a very abstract field with little accessibility for wider audiences, and yet it is a field of physics with far reaching implications for everyday life. The Nuclear Beavers demonstration is a hands-on experience that…

Physics Education · Physics 2025-09-16 Joshua Wylie , Pablo Giuliani , Kyle Godbey , Sylvester Agbemava