Results 31 to 40 of about 1,745,775 (283)
Recent Developments in Nuclear Data Measurement capabilities at the Gaerttner LINAC Center at RPI
The Gaerttner LINAC Center at RPI uses a 60 MeV electron linear accelerator to produce short pulses of neutrons with duration of 5-5000 ns. The main research thrust at the Center is nuclear data for nuclear reactors and criticality safety applications ...
Danon Y. +10 more
doaj +1 more source
The evaluation of non-destructive neutron radiography (NR) for examining the internal composition of various structural materials, has been the focus of extensive research.
Jacob G. Fantidis +4 more
doaj +1 more source
A small fast neutron mutant population has been established from Phaseolus vulgaris cv. Red Hawk. We leveraged the available P. vulgaris genome sequence and high throughput next generation DNA sequencing to examine the genomic structure of five ...
Jamie A. O'Rourke +13 more
doaj +1 more source
Organic–inorganic hybrid perovskite scintillators for mixed field radiation detection
Sensitive and fast detection of neutrons and gamma rays is vital for homeland security, high‐energy physics, and proton therapy. Fast‐neutron detectors rely on light organic scintillators, and γ‐ray detectors use heavy inorganic scintillators and ...
Mengling Xia +19 more
doaj +1 more source
Neutrons are produced in accelerators by irradiating heavy targets with an electron or proton beam. Produced neutrons are of high energy. The purpose of our work is optimization the neutron flux by MCNP-6 code for production the thermal neutron flux ...
A. .. Didi +5 more
doaj +1 more source
Time-resolved fast-neutron imaging with a pulse-counting image intensifier [PDF]
A new imaging method that combines high-efficiency fast-neutron detection with sub-ns time resolution is presented. This is achieved by exploiting the high neutron detection efficiency of a thick scintillator and the fast timing capability and ...
Barnstedt, Juergen +15 more
core
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam
Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
Background: High-energy photons produced from a medical linear accelerator (LINAC) have long been used as one of the most effective ways for treating cancers.
Porama Thepsiri +5 more
doaj +1 more source
Bulk‐Like Spin Cycloid and Fast Switching in Freestanding BiFeO3
Freestanding BiFeO3 membranes overcome substrate‐induced constraints by simultaneously restoring the intrinsic bulk‐like spin cycloid and enabling ≈50% faster ferroelectric switching than substrate‐clamped epitaxial thin films. This combination of robust noncollinear antiferromagnetic order and efficient electric‐field switching establishes ...
Pratap Pal +12 more
wiley +1 more source

