Results 41 to 50 of about 1,265,495 (296)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

On-line calibration schemes for RF-based beam diagnostics [PDF]

, 2013
RF-based beam diagnostics, such as beam current monitors and beam position monitors (BPMs), rely on precise RF signal measurements. Temperature drifts and differences in the overall measurement chain gain make such measurements very challenging and ...
Müller, U. (author), Duperrex, P.-A. (author)   +1 more
core   +1 more source

Record high-gradient SRF beam acceleration at Fermilab

New Journal of Physics, 2018
Many modern and future particle accelerators employ high gradient superconducting RF (SRF) to generate beams of high energy, high intensity and high brightness for research in high energy and nuclear physics, basic energy sciences, etc.
D Broemmelsiek, B Chase, D Edstrom, E Harms, J Leibfritz, S Nagaitsev, Y Pischalnikov, A Romanov, J Ruan, W Schappert, V Shiltsev, R Thurman-Keup, A Valishev   +12 more
doaj   +1 more source

LUX Electron Beam Diagnostics

, 2016
The first phase of the LUX experiment is set up and ready for its next mile stone: Plasma accelerated electrons. We present an overview of electron beam diagnostics currently installed at LUX, including the electron spectrometer and a thin LYSO ...
Winkler, Paul Viktor, Werle, Christian, Maier, Andreas Martin   +2 more
core   +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

Overview of Target Normal Sheath Acceleration Experiments and Diagnostics at SPARC_LAB

Applied Sciences
The interaction of an ultra-short, high-power laser pulse with a solid target, in the so-called Target Normal Sheath Acceleration (TNSA) configuration, produces particles in the MeV range.
Federica Stocchi, Maria Pia Anania, Fabrizio Bisesto, Alessandro Cianchi, Mattia Cipriani, Fabrizio Consoli, Gemma Costa, Alessandro Curcio, Mario Galletti, Riccardo Pompili, Martina Salvadori, Claudio Verona, Arie Zigler, Massimo Ferrario   +13 more
doaj   +1 more source

Neutralisation and transport of negative ion beams: physics and diagnostics

New Journal of Physics, 2017
Neutral beam injection is one of the most important methods of plasma heating in thermonuclear fusion experiments, allowing the attainment of fusion conditions as well as driving the plasma current.
G Serianni, P Agostinetti, M Agostini, V Antoni, D Aprile, C Baltador, M Barbisan, M Brombin, M Cavenago, G Chitarin, M Dalla Palma, R Delogu, F Fellin, N Fonnesu, N Marconato, R Pasqualotto, A Pimazzoni, E Sartori, S Spagnolo, M Spolaore, P Veltri, B Zaniol, M Zaupa   +22 more
doaj   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Characterization of the Extraction System of Supersonic Gas Curtain-Based Ionization Profile Monitor for FLASH Proton Therapy

Instruments
FLASH radiotherapy requires real-time, non-invasive beam monitoring systems capable of operating under ultra-high dose rate (UHDR) conditions without perturbing the therapeutic beam.
Farhana Thesni Mada Parambil, Milaan Patel, Narender Kumar, Bharat Singh Rawat, William Butcher, Tony Price, Carsten P. Welsch   +6 more
doaj   +1 more source

Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing

Advanced Functional Materials, EarlyView.
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee, Geunyoung Kim, Hwa Young Kim, Do Hoon Kim, Hanchan Song, Huisu Noh, Jungwan Noh, Seungwoo Lee, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +10 more
wiley   +1 more source