Results 71 to 80 of about 51,215 (304)
We have studied the ionization of rare gases by protons at intermediate energies, i.e., energies at which the velocities of the proton and the target-gas valence electrons are comparable.
Olson, Ronald E. +4 more
core +1 more source
Saddle-point scrambling without thermalization [PDF]
Out-of-time-order correlators (OTOCs) have proven to be a useful tool for studying thermalization in quantum systems. In particular, the exponential growth of OTOCS, or scrambling, is sometimes taken as an indicator of chaos in quantum systems, despite ...
Kidd, R.A. +2 more
core +1 more source
Pure Saddle Points and Symmetric Relative Payoff Games [PDF]
It is well known that the rock-paper-scissors game has no pure saddle point. We show that this holds more generally: A symmetric two-player zero-sum game has a pure saddle point if and only if it is not a generalized rock-paper-scissors game.
Oechssler, Joerg +2 more
core +4 more sources
Interlayer sliding in the RuO2Zn2F2 bilayer induces ferroelectricity and enables reversible valley polarization switching. The electric dipole and valley‐resolved band edges are intimately coupled, revealing sliding ferroelectricity as a powerful mechanism for electrical control of valley degrees of freedom in 2D materials.
Djamel Bezzerga +3 more
wiley +1 more source
Coincidence theorem and saddle point theorem [PDF]
We discuss Browder’s coincidence theorem and derive a saddle point theorem from it.
H. Komiya
core +1 more source
The alternate direction iterative methods for generalized saddle point systems
The paper studies two splitting forms of generalized saddle point matrix to derive two alternate direction iterative schemes for generalized saddle point systems.
Shuanghua Luo +2 more
doaj +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
Saddle point duality theorems for Pareto optimization
Not available.
Paul Iacob
doaj +2 more sources
Learning and the saddle point property
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +4 more sources
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source

