Results 111 to 120 of about 15,545 (216)

11. Accelerator Physics

11. Accelerator Physics
CO11-1 Study of Intense Terahertz Light Source Based on Superimposing Backward Coherent Diffraction Radiation CO11-2 The XEP-e (eXtremely High Energy Plasma/ Particle Sensor for Electron) of the ERG ...
openaire  

Phase and absorbance retrieval in X-ray holographic microscopy under weak illumination using physics-driven neural networks. [PDF]

J Synchrotron Radiat
Kim J, Lim J, Jo S, Park S, Lee SJ.
europepmc   +1 more source

On the Effect of Creep on Local Lattice Orientation in Single‐Crystal Ni‐Based Superalloy Microstructures

Advanced Engineering Materials, EarlyView.
During creep of a single‐crystal Ni‐based superalloy, the overall crystal orientation is observed to remain constant while the microstructure evolves. Despite the lack of macroscopic rotation, small (<1°) rotations are observed on the submicron size scale and are accommodated by counteracting rotations over the scale of several micrometers.
E. J. Payton, E. B. Dursun, G. Eggeler, L. Agudo Jácome   +3 more
wiley   +1 more source

Bright electron bunches from a plasma-wakefield accelerator with a steep density down-ramp. [PDF]

Nat Commun
Wood JC, Boulton L, Beinortaitė J, Björklund Svensson J, Bohlen S, Boyle G, Garland JM, Gonzalez Caminal P, Lindstrøm CA, Loisch G, Mewes SM, Parikh T, Peña F, Põder K, Schröder S, Thévenet M, Wesch S, Osterhoff J, D'Arcy R.   +18 more
europepmc   +1 more source

The Influence of Field‐Assisted Sintering Technology (FAST) Temperature and Cooling Rate on the Microstructural Evolution in Gamma‐Titanium Aluminide Alloy GE4822

Advanced Engineering Materials, EarlyView.
Controlling the Field Assisted Sintering Technology (FAST) parameters, dwell temperature and cooling rate, significantly influences the microstructural evolution in titanium aluminide GE4822. Significant γ‐lamellar colonies develop only upon cooling through the α‐transus.
Jack Krohn, James Pepper, Martin Jackson
wiley   +1 more source

Uniform Amorphization of Crystalline Silicon Surfaces Enabled by Deep Ultraviolet Femtosecond Laser Pulses

Advanced Engineering Materials, EarlyView.
Deep‐UV (258 nm) femtosecond pulses enable uniform amorphous silicon writing on Si(100)/(111) with a six‐fold larger fluence amorphization window than NIR methods. Optimized fluence and overlap yield 20–45 nm uniform and continuous amorphous layers. Microscopy shows sharp interfaces, and real‐time reflectivity reveals nanosecond melt–resolidification ...
Wissal Benali, Magali Gregoire, Matys Guyard, Tatiana Itina, David Grojo, Pol Sopeña   +5 more
wiley   +1 more source

Proof-of-principle demonstration of epithermal neutron resonance spectroscopy utilizing a compact laser-driven electron accelerator. [PDF]

Proc Natl Acad Sci U S A
Feng J, Ren J, Xu H, Zhu M, Shi B, Zhang G, Bao J, Yan W, Li Y, Wang J, Lu X, Chen L, Zhang J.   +12 more
europepmc   +1 more source

Superlubricity and Corrosion Inhibition Properties of Solvate Ionic Liquids in Hybrid Carbon Fiber Reinforced Plastic–Steel Interfaces

Advanced Engineering Materials, EarlyView.
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees, Timothy Harte, Bhagya Dharmasiri, Y. Athulya Wickramasingha, David J. Hayne, Daniel J. Eyckens, Luke C. Henderson   +6 more
wiley   +1 more source

Fermi-liquid transport beyond the upper critical field in superconducting La₂PrNi₂O₇ thin films. [PDF]

Nat Commun
Hsu YT, Liu Y, Kohama Y, Kotte T, Sharma V, Tarn Y, Wang BY, Shen ZX, Yu Y, Hwang HY.   +9 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source