A highly deformable Mg-Zn-Nd-Y-Zr alloy was investigated in terms of anisotropic and temperature-dependent mechanical behavior, with an emphasis on the microstructural changes. Uniaxial tension tests were conducted along the rolling (RD) and transverse (TD) directions at room temperature (298 K) and at 498 K, during which a series of ex-situ EBSD scans were obtained. In addition to quantitative texture

Multispectral detection poses significant challenges to conventional camouflage systems, which require compatibility with diverse spectral regions. However, reconciling multispectral camouflage, radiative cooling, and microwave transparency within a single platform remains constrained by conflicting electromagnetic requirements. Herein, we report an inverse design framework combining the Non-dominated

Spin memristors are devices that use electron spin to make memory technology scalable, high-performance, and energy-efficient. These devices offer significant advantages over traditional memristors, including faster switching, lower energy consumption, and enhanced durability. This review study summarizes current research and offers specific conclusions regarding the basic ideas, material compositions

A novel two-qubit entangling gate for trapped-ion quantum processors is proposed theoretically and demonstrated experimentally. During the gate, double-dressed quantum states are created by applying a phase-modulated continuous driving field. The speed of this quantum gate is an order of magnitude higher than that of previously demonstrated rf controlled two-qubit entangling gates in static magnetic

The AdS/CFT correspondence stipulates a duality between conformal field theories and certain theories of quantum gravity in one higher spatial dimension. However, probing this conjecture on contemporary classical or quantum computers is challenging. We formulate an efficiently implementable multiscale entanglement renormalization ansatz model of AdS/CFT, providing a mapping between a (1+1)-dimensional

This study presents, for the first time, a model capable of simulating the complex interactions among deformation, phase transformation, and hydrogen (H) diffusion in H-charged transformation-induced plasticity (TRIP)-assisted steel. The model integrates a crystal plasticity (CP) framework with a deformation-induced martensitic transformation (DIMT) model and a H diffusion model while incorporating

We describe a quantum algorithm for the Planted Noisy kXOR Problem (also known as Sparse Learning Parity with Noise) that achieves a nearly (fourth-power) speedup over the best known classical algorithm while using exponentially less space. Our work generalizes and simplifies prior work of Hastings [], by building on his quantum algorithm for the tensor principal component analysis (PCA) problem. We