Results 221 to 230 of about 5,188,183 (302)
Comprehensive study on impact of hydrogen peroxide decomposition on the crucial parameters of OSM-type energetic materials. [PDF]
Polis M +6 more
europepmc +1 more source
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks. [PDF]
Appleton RJ +5 more
europepmc +1 more source
NANOTECHNOLOGY IN ENERGETIC MATERIALS [PDF]
openaire +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Exploring an accurate machine learning model to quickly estimate stability of diverse energetic materials. [PDF]
Gou Q +6 more
europepmc +1 more source
Mass density governs the protective behavior of oxide layers on nuclear fuel cladding. Ptychographic X‐ray computed tomography measures zirconium oxide grown on Zircaloy‐4 under reactor and autoclave conditions, revealing nearly identical bulk densities of 5.1 ± 0.80 g cm−3.
Okan Yetik +9 more
wiley +1 more source
Synthesis of new-type, cost-effective and insensitive energetic materials via nitration of solid bituminous hydrocarbons. [PDF]
Abdolahi S, Soleiman-Beigi M.
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source

