Local Cascade Ensemble (LCE) [Fauvel et al., 2022] 是一种新的机器学习方法， 它结合了它们的优势并采用互补的多样化方法来获得更好的泛化预测器。 因此，LCE 进一步增强了随机森林和 XGBoost 的预测性能。 本文介绍了 LCE 和相应的 Python 包以及一些代码示例。

2025年3月1日 · By decomposing the total deformation into mechanical and thermal components, the proposed model integrates elastic, nematic, and anisotropic free energy components, addressing semi-soft elasticity and director rotation to provide a robust framework for predicting LCE responses under various conditions.

2024年12月5日 · Our demonstration of centimeter-scale LCE disks that sequentially switch Gaussian curvature and undergo a disk-saddle-dome transition upon temperature increase provides convincing evidence that the ambidirectionality of deformations can be extended to macroscale objects across three orders in dimensions.

2023年1月18日 · Here, we demonstrate a rapid and powerful snap-through response in liquid crystalline elastomers (LCEs). While LCEs have been extensively examined as material actuators, their deformation rate is limited by the second-order character of their phase transition.

2025年3月1日 · In this work, we aim to model the semi-soft elasticity and viscoelasticity of LCEs with experimental validation, implement the model in COMSOL, and provide benchmarks for complex deformations. The paper is organized as follows.

2024年6月15日 · Liquid crystal elastomer (LCE) is a type of soft active material that generates large and reversible spontaneous deformations upon temperature changes,...

2023年5月1日 · In this work, a constitutive model of LCE is established by introducing a triaxial order tensor to describe the complex alignment under uniaxial/biaxial loading conditions. Inspired by the classical theory of plasticity, an equivalent order parameter is proposed to characterize the order degree of the alignment, and its evolution condition is ...

2025年1月8日 · LCE（Local Cascade Ensemble）预测模型和LSTM（Long Short-Term Memory）模型在效果和特点上存在显著差异。 以下是对两者的比较： 优势：LCE结合了随机森林和XGBoost的优势，并采用互补的多样化方法来获得更好的泛化预测器。 它增强了预测性能，尤其适用于处理具有复杂关系的数据集。 此外，LCE模型对缺失值具有一定的鲁棒性，能够排除预测干扰因素，提高预测值的精确度。 应用实例：在电力交易领域，LCE算法被用于短期电价预 …

In this work, we develop a three-dimensional finite element implementation for monodomain LCEs, with the material modeled as a finite deformation viscoelastic network with a viscous director. The formulation is designed so that the director field …

This paper focuses on the modeling of the photo-responsive liquid crystal elastomer (LCE) actuator, which is essential in LCE-based light-driven soft robot applications. The goal is to provide a strategy to model the deformation of the photo-responsive LCE actuator under a certain input. By analyzing the deformation principle, a modeling scheme is proposed to divide the LCE model into two ...