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This paper introduces an approach for learning to solve continuous constraint satisfaction problems (CCSP) in robotic reasoning and planning. Previous methods primarily rely on hand-engineering or learning generators for specific constraint…

The advancement of micro/nanofabrication techniques with high throughput, efficiency, and flexibility is critical for fields like integrated photonics, biosensing, and medical diagnostics. This study presents Partition Laser Assembling…

We study how the substrate temperature influences the structural properties of carbon films deposited by PVD (physical vapor deposition) techniques. We adapted a heating system inside the deposition chamber, with temperatures up to…

Smoothed dissipative particle dynamics (SDPD) is a widely used particle-based method for modelling soft matter systems at mesoscopic and macroscopic scales, offering thermodynamic consistency and direct control over the fluid's transport…

Fluid Dynamics · Physics 2025-10-22 Marina Echeverria Ferrero , Nicolas Moreno , Marco Ellero

Selective laser sintering (SLS) of single component metal powders is a rapid prototyping technology in which a high-energy laser beam scans, melts, shrinks and consolidates metal powders with single component. For better understanding…

Computational Physics · Physics 2016-02-04 Bin Xiao , Yuwen Zhang

Time-resolved photoluminescence (PL) is commonly used to track dynamics in a broad range of materials. Thus, the search for simplification of the acquisition of PL kinetics attracts continuous attention. This paper presents a new robust and…

Instrumentation and Detectors · Physics 2020-04-22 Jiri Junek , Lukas Ondic , Karel Zidek

In the past decade, nanopores have been developed extensively for various potential applications, and their performance greatly depends on the surface properties of the nanopores. Atomic layer deposition (ALD) is a new technology for…

Mesoscale and Nanoscale Physics · Physics 2013-09-24 Ceming Wang , Delin Kong , Qiang Chen , Jianming Xue

To contemplate an alternative approach for the minimization of diffusion at high temperature depositions, present findings impart viability of room-temperature deposited reactively sputtered ScN thin film samples. The adopted room…

Monatomic antimony thin films have recently attracted attention for applications in phase change memory, nanophotonics, and 2D materials. Although some promising results have been reported, the true potential of Sb thin films is still…

Materials Science · Physics 2023-01-31 Daniel T. Yimam , Majid Ahmadi , Bart J. Kooi

Layered manufacturing inherently suffers from staircase defects along surfaces that are gently slopped with respect to the build direction. Reducing the slice thickness improves the situation but never resolves it completely as flat layers…

Graphics · Computer Science 2017-04-11 Hai-Chuan Song , Nicolas Ray , Dmitry Sokolov , Sylvain Lefebvre

Efficient processing of particulate products across various manufacturing steps requires that particles possess desired attributes such as size and shape. Controlling the particle production process to obtain required attributes will be…

Data Analysis, Statistics and Probability · Physics 2016-03-11 Okpeafoh S. Agimelen , Anna Jawor-Baczynska , John McGinty , Christos Tachtatzis , Jerzy Dziewierz , Ian Haley , Jan Sefcik , Anthony J. Mulholland

Recently various laser-chirping schemes have been investigated with the goal of reducing or eliminating ponderomotive line broadening in Compton or Thomson scattering occurring at high laser intensities. As a next level of detail in the…

Accelerator Physics · Physics 2016-05-25 Balša Terzić , Cody Reeves , Geoffrey A. Krafft

Superconducting thin films have been prepared in a two-step in-situ process, using the Mg-B plasma generated by pulsed laser ablation. The target was composed of a mixture of Mg and MgB2 powders to compensate for the volatility of Mg and…

Superconductivity · Physics 2009-11-07 D. H. A. Blank , H. Hilgenkamp , A. Brinkman , D. Mijatovic , G. Rijnders , H. Rogalla

Diffusion models are the main driver of progress in image and video synthesis, but suffer from slow inference speed. Distillation methods, like the recently introduced adversarial diffusion distillation (ADD) aim to shift the model from…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Axel Sauer , Frederic Boesel , Tim Dockhorn , Andreas Blattmann , Patrick Esser , Robin Rombach

Atomic layer deposition (ALD), a layer-by-layer controlled method to synthesize ultrathin materials, provides various merits over other techniques such as precise thickness control, large area scalability and excellent conformality. Here we…

A theory of flow stress, including the yield strength is proposed for the class of PC materials with equilibrium defect structure (EDS), which is established in the PC material after series of $N_0$ similar treatments of severe plastic…

Materials Science · Physics 2021-03-09 Alexander A. Reshetnyak

In this paper we describe the technical implementation of pump-probe cathodoluminescence microscopy (PP-CL), a novel technique for studying ultrafast dynamics in materials using combined excitation of electron and laser pulses. The PP-CL…

Instrumentation and Detectors · Physics 2021-12-07 Magdalena Solà-Garcia , Kelly W. Mauser , Nika van Nielen , Toon Coenen , Sophie Meuret , Albert Polman

Thermometric techniques with high accuracy, fast response speed and ease of implementation are desirable for the study of dynamic combustion environments, transient reacting flows, and non-equilibrium plasmas. Herein, single-shot…

We demonstrate a compact technique to compress electron pulses to attosecond length, while keeping the energy spread reasonably small. The technique is based on Dielectric Laser Acceleration (DLA) in nanophotonic silicon structures. Unlike…

Accelerator Physics · Physics 2021-02-17 Uwe Niedermayer , Dylan S. Black , Kenneth J. Leedle , Yu Miao , Robert L. Byer , Olav Solgaard

Score-based Generative Models (SGMs) have demonstrated exceptional synthesis outcomes across various tasks. However, the current design landscape of the forward diffusion process remains largely untapped and often relies on physical…

Machine Learning · Computer Science 2023-10-13 Kushagra Pandey , Stephan Mandt