Results 181 to 190 of about 4,256 (307)
Breaking the symmetry of the graph colouring problem with genetic algorithms [PDF]
Marino, A., Damper, R. I.
core
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 +3 more
wiley +1 more source
Groups acting on trees with Tits' independence property (P): With an appendix by Stephan Tornier. [PDF]
Reid CD, Smith SM.
europepmc +1 more source
Graph Colouring and Frequency Assignment [PDF]
In this thesis we study some graph colouring problems which arise from mathematical models of frequency assignment in radiocommunications networks, in particular from models formulated by Hale and by Tesman in the 1980s.
Waters, Robert James
core
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma +4 more
wiley +1 more source
The χ -Binding Function of <i>d</i>-Directional Segment Graphs. [PDF]
Duraj L +6 more
europepmc +1 more source
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
Optimizing ergonomic risk assessment using fuzzy irregular cellular automata: a novel approach to modeling musculoskeletal disorders in industrial workstations. [PDF]
Kashani M +5 more
europepmc +1 more source
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 +11 more
wiley +1 more source
A universal tool for visualisation of networks and trees in Python. [PDF]
Zanini F.
europepmc +1 more source

