Results 101 to 110 of about 1,317,033 (253)

Lumped Parameter Model for Structural Analysis of Over-Constrained Multi-Legged Parallel Mechanism Supporting System Applied to Cryogenic Devices

Machines
While the design of a cryostat is being developed, one of the most relevant sub-systems is the internal supporting system that sustains the cooled component.
Luca Piacentini, Luca Dassa, Diego Perini, Andris Ratkus, Toms Torims, Stefano Uberti   +5 more
doaj   +1 more source

A simple microscopy setup for visualizing cellular responses to DNA damage at particle accelerator facilities. [PDF]

Sci Rep, 2021
Qian H, Hoebe RA, Faas MR, van Goethem MJ, van der Graaf ER, Meyer C, Kiewiet H, Brandenburg S, Krawczyk PM.   +8 more
europepmc   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Experimental Evaluation of Sub-Sampling IQ Detection for Low-Level RF Control in Particle Accelerator Systems. [PDF]

Sensors (Basel), 2021
Kowalski T, Gibiino GP, Szewiński J, Czuba K, Rybka D, Chmielewski K, Wojciechowski Z, Sitek M.   +7 more
europepmc   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

LHC@Home: a BOINC-based volunteer computing infrastructure for physics studies at CERN

Open Engineering, 2017
The LHC@Home BOINC project has provided computing capacity for numerical simulations to researchers at CERN since 2004, and has since 2011 been expanded with a wider range of applications. The traditional CERN accelerator physics simulation code SixTrack
Barranco Javier, Cai Yunhai, Cameron David, Crouch Matthew, Maria Riccardo De, Field Laurence, Giovannozzi Massimo, Hermes Pascal, Høimyr Nils, Kaltchev Dobrin, Karastathis Nikos, Luzzi Cinzia, Maclean Ewen, McIntosh Eric, Mereghetti Alessio, Molson James, Nosochkov Yuri, Pieloni Tatiana, Reid Ivan D., Rivkin Lenny, Segal Ben, Sjobak Kyrre, Skands Peter, Tambasco Claudia, Veken Frederik Van der, Zacharov Igor   +25 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Status of the accelerator physics test facility FLUTE

, 2015
A new compact versatile linear accelerator named FLUTE (Ferninfrarot Linac Und Test Experiment) is currently under construction at the Karlsruhe Institute of Technology (KIT).
Schlarb, H. (author), Hiller, N. (author), Flöttmann, K. (author), Böhm, A. (author), Walther, S. (author), Marsching, S. (author), Hoffmann, M. (author), Müller, A.-S. (author), Weber, M. (author), Smit, B. (author), Wesolowski, P. (author), Ruprecht, R. (author), Gerth, C. (author), Stingelin, L. (author), Nasse, M.J. (author), Bernhard, A. (author), Höninger, S. (author), Schlott, V. (author), Birkel, I. (author), Keil, B. (author), Steffen, B. (author), Ischebeck, R. (author), Rossmanith, R. (author), Hillenbrand, S. (author), Assmann, R.W. (author), Peier, P. (author), Borysenko, A. (author), Schwarz, M. (author), Felber, M. (author), Schuh, M. (author)   +29 more
core   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source