2 papers
math.OC2026
Exact ensemble controllability for neural differential equations via neural interpolation
Martin Gugat
We study a system that is governed by neural dynamics. Neural dynamics are a model for deep neural networks with a large number of layers. For a differential equation where the rig…
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…