We introduce Kimi K2, a Mixture-of-Experts (MoE) large language model with 32 billion
activated parameters and 1 trillion total parameters. We propose the MuonClip optimizer, which …

Shape memory polymers (SMPs) can retain a temporary shape after pre-deformation at an
elevated temperature and subsequent cooling to a lower temperature. When reheated, the …

The paper describes the fabrication and characterization of composites with a shape memory
polymer matrix and SiC nanoparticulate reinforcements. Composites based on a SMP …

A 3D thermoviscoelastic model is proposed to represent the thermomechanical behavior of
shape memory polymers. The model is based on a physical understanding of the material …

Hyaluronic acid (HA) exists naturally as an important component of the extracellular matrix (ECM)
in the human body. In recent decades, HA has been widely used in bone regeneration, …

… Yiping Liu… Yiping Liu … Yiping Liu …

Shape memory polymers (SMPs) have the capacity to recover large strains when pre-deformed
at an elevated temperature, cooled to a lower temperature, and reheated. The …

There have been few researches on solving multimodal multiobjective optimization problems,
whereas they are commonly seen in real-world applications but difficult for the existing …

Circularly polarized light (CPL) with the end of optical vector traveling along circumferential
trajectory shows left‐ and right‐handedness, which transmits chiral information to materials …

Most existing multiobjective evolutionary algorithms experience difficulties in solving many-objective
optimization problems due to their incapability to balance convergence and …