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nanomos-r186.tar
- nanoMOS is a 2-D simulator for thin body (less than 5 nm), fully depleted, double-gated n-MOSFETs. A choice of three transport models is currently available (drift-diffusion, classical ballistic, and quantum ballistic). The transport models treat qua
fig1_4_6
- 量子输运模型，模拟源和漏在偏压下通过一个沟道的输运-Quantum transport model to simulate the source and drain through a channel transport under bias
angel-r41.tar
- Angel-r41由瑞士苏黎世联邦理工steiger博士编写的用非平衡态格林函数计算半导体量子输运的C++代码-Angel41 by the Swiss Federal Institute of Technology Zurich, prepared by Dr. steiger with non-equilibrium Green' s function calculations of semiconductor quantum transport C++ code
motecalor
- 蒙特·卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。与它对应的是确定性算法。蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）等领域应用广泛。-Monte Carlo (Monte Carlo method), also known as s
aeuh_v1_0
- 这是描述带间传输的量子输运程序，希望有帮助-This is describing the transmission of quantum transport programs, I hope there is help
datta
- Datta 量子输运 书中的所有代码。matlab平台-Datta quantum transport all of the code book. matlab platform
Efficient-quantum-transport-simulation-for-bulk-g
- Efficient quantum transport simulation for bulk graphene heterojunctions
mK
- 蒙克卡罗 蒙特·卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。与它对应的是确定性算法。蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）等领域应用广泛。-蒙克卡罗蒙 Carlo method (Monte Carlo method), als
urqmd-3.3p1
- The Ultra Relativistic Quantum Molecular Dynamics (UrQMD) model is a transport model for simu- lating heavy ion collisions in the energy range SIS to RHIC (use at LHC is at your own risk). It runs on various UNIX-based computing platforms. Curren
Lessons-from-Nana-Electronics_MatlabCodes
- Quantum transport codes
GNR_Green_Function
- NEGF for solving schrodinger in graphene nanoribbon
Monte Carlo Methods using Matlab
- 蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）(The Monte Carlo method is in financial engineering, macroeconomics, Computational Physics (such as particle transport calculation, quantum thermodynamics calculation, aerodynamics calculation))