Conditional guided generative diffusion for particle accelerator beam diagnostics. [PDF]
Scheinker A.
europepmc +1 more source
This study investigates the effects of milling parameters, including rotational speed, milling duration, and ball‐to‐powder ratio, on TiAl particle size and morphology in an XHV‐equivalent atmosphere. The creation of oxide‐free surfaces enhances the mechanical properties of green bodies.
Jytte Möckelmann +4 more
wiley +1 more source
Large language models for human-machine collaborative particle accelerator tuning through natural language. [PDF]
Kaiser J, Lauscher A, Eichler A.
europepmc +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics. [PDF]
Scheinker A.
europepmc +1 more source
Microstructure Design of Steel‐Spinel Composites via Spark Plasma Sintering Process
This study illustrates how spark plasma sintering at reduced oxygen partial pressure enables controlled formation of steel‐spinel composites through tailored redox reactions and cation exchange. Comparison of the MgO–Fe2O3, steel–(MgO+Cr2O3), and steel–(MgO+Fe2O3) systems shows how oxygen activity and interface chemistry govern spinel formation, phase ...
Mahnaz Mehdizadehlima +4 more
wiley +1 more source
Sub-THz Characterization of Technical Surfaces for Particle Accelerator Vacuum Chambers. [PDF]
Passarelli A +3 more
europepmc +1 more source
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source
Reinforcement learning-trained optimisers and Bayesian optimisation for online particle accelerator tuning. [PDF]
Kaiser J +11 more
europepmc +1 more source

