Tofauti ya Mchakato wa Monte Carlo
Uchambuzi wa Tofauti ya Mchakato wa Monte Carlo hupima athari za kutokuwa na uhakika kwa utengenezaji kwenye utendaji wa saketi kwa kutumia sampuli za takwimu. Kadiri teknolojia ya nusu-kondakta inavyopungua, tofauti za mchakato (urefu wa geti, unene wa oksidi, mabadiliko ya dopant) huleta kutokuwa na uhakika mkubwa katika ucheleweshaji, nguvu, na uvujaji. Njia za Monte Carlo huchukua sampuli za nafasi ya tofauti isiyo ya mpangilio, kuwezesha tabia ya takwimu ya mavuno, mipaka ya muda, na uaminifu. Ni muhimu kwa nodi za teknolojia ya kisasa.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Fishman, G. S. (1996). Monte Carlo: Concepts, Algorithms, and Applications. Springer-Verlag. DOI: 10.1007/978-1-4757-2553-7 ↗
- Nassif, S. R. (2003). Modeling and analysis of manufacturing variations. In Proc. CICC (pp. 223-228). IEEE. DOI: 10.1109/cicc.2001.929760 ↗
- Agarwal, A., Blaauw, D., Zolotov, V., & Sundareswaran, S. (2005). Statistical timing analysis with dual-Vth devices. IEEE Transactions on VLSI Systems, 13(3), 319-328. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Monte Carlo Analysis of Semiconductor Process Variations. ScholarGate. https://scholargate.app/sw/electrical-engineering/monte-carlo-process-variation
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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