三维旋转形式
统计物理学
堆积
非线性系统
计算机科学
钥匙(锁)
非线性光学
中尺度气象学
物理
复杂系统
多尺度建模
电子结构
格子(音乐)
非线性光学
材料科学
非线性动力系统
计算模型
微扰理论(量子力学)
纳米技术
密度泛函理论
连接(主束)
计算物理学
电子系统
摄动(天文学)
动力系统理论
理论物理学
计算科学
反演(地质)
数学模型
作者
Johnathan D. Georgaras,E Chen,Akash Ramdas,Emma Simmerman,Yuming Shi,Supavit Pokawanvit,Jonah B. Haber,Aaron Altman,Zachary Mauri,A Wang,S K Kundu,Christopher Ciccarino,Felipe H. da Jornada
标识
DOI:10.1146/annurev-matsci-072924-102520
摘要
Moiré materials, formed by stacking layered materials with a lattice mismatch or twist, exhibit long-wavelength periodicities that qualitatively alter their electronic and optical properties, leading to emergent phenomena such as superconductivity, magnetism, and nonlinear optical responses. Modeling these effects is challenging because the underlying physics spans atomic to mesoscale dimensions and requires formalisms that explicitly treat electronic correlations. This review surveys computational methods for capturing these phenomena, highlighting first-principles approaches based on density functional and many-body perturbation theories and their connection to lower-scaling frameworks such as empirical, continuum, and machine-learning models. We outline the regimes each method addresses, key approximations for realistic systems, and emerging strategies for modeling structural, electronic, optical, and dynamical properties, as well as validation strategies given available experimental capabilities.
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