2 papers
cond-mat.mtrl-sci2026
A high-dimensional neural network potential for finite-temperature phenomena in NiTi martensite
Petr Jaroš, Petr Sedlák, Petr Šesták +3
We present a high-dimensional neural network potential (HDNNP) for the martensitic phase of the NiTi shape-memory alloy trained to density functional theory (DFT) data. A central a…
cond-mat.mtrl-sci2025
Magneto-elastic softening in cold-sprayed polycrystalline nickel studied by resonant ultrasound spectroscopy
Michaela Janovská, Petr Sedlák, Martin Å evÄÃk +5
Cold-sprayed metallic deposits are additively manufactured materials containing high levels of compressive residual stress. Here we show that the presence and intensity of this str…