What Strategies are Used to Manage Computational Costs?
Several strategies are employed to manage computational costs in nanotechnology:
Parallel Computing: Distributing computations across multiple processors to speed up simulations. Optimized Algorithms: Developing more efficient algorithms that reduce computational load without compromising accuracy. Approximation Methods: Using approximate models to reduce complexity while maintaining useful accuracy. High-Performance Computing (HPC): Leveraging supercomputers and specialized hardware to handle large-scale computations.
