Tootfinder

The Poisson-Dirichlet problem in domains with Ahlfors regular boundary
Ariel Barton, Svitlana Mayboroda, Alberto Pacati
https://arxiv.org/abs/2506.14639 ht…

The Poisson-Dirichlet problem in domains with Ahlfors regular boundary
We present an announcement of some recent results concerning well-posedness of the Poisson-Dirichlet problem with boundary data in Besov spaces with fractional smoothness. This is a far-reaching generalization as previously known theorems concerning well-posedness of the Poisson problem in such intermediate smoothness classes were mostly restricted to the context of Lipschitz domains and coefficients satisfying strong regularity assumptions.

Gauge-invariant action for free string field theory with boundary
Carlo Maccaferri, Alberto Ruffino, Jakub Vo\v{s}mera
https://arxiv.org/abs/2506.05969 htt…

Gauge-invariant action for free string field theory with boundary
We construct fully gauge-invariant kinetic terms for open and closed string field theories on a target space with boundary. This is realized by promoting the gauge parameters at the boundary to extra dynamical modes describing boundary degrees of freedom. Having a gauge-invariant classical action, we also construct the corresponding BV master action and show that the master equation is obeyed thanks to a peculiar nilpotent structure of the BV kinetic operator. From this general construction we …

Magnon-magnon interaction induced by nonlinear spin wave dynamics
Matteo Arfini, Alvaro Bermejillo-Seco, Artem Bondarenko, Clinton A. Potts, Yaroslav M. Blanter, Herre S. J. van der Zant, Gary A. Steele
https://arxiv.org/abs/2506.11527

Magnon-magnon interaction induced by nonlinear spin wave dynamics
We experimentally and theoretically demonstrate that nonlinear spin-wave dynamics can induce an effective resonant interaction between non-resonant magnon modes in a yttrium iron garnet disk. Under strong pumping near the ferromagnetic resonance mode, we observe a spectral splitting that emerges with increasing drive amplitude. This phenomenon is well captured by a theoretical framework based on the linearization of a magnon three-wave mixing Hamiltonian, which at high power leads to parametric…

The transformative capability of quantum-accurate machine learning interatomic potentials
Alfredo A. Correa, Sebastien Hamel
https://arxiv.org/abs/2506.02328

The transformative capability of quantum-accurate machine learning interatomic potentials
Many materials's properties and phase boundaries are generally not well known under extreme pressure and temperature conditions. This is a consequence of the scarcity of experimental information and the difficulty of extrapolating approximations to the atomic interactions in such conditions. Nguyen-Cong and colleagues, in their publication (J.Phys.Chem.Lett. 15, 1152 (2024)), achieved an impressive result using a SNAP (Spectral Neighbor Analysis Potential), an interatomic potential for carbon o…