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首页> 外文期刊>International Journal of Quantum Chemistry >Computer aid molecular design based on meta-heuristics techniques
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Computer aid molecular design based on meta-heuristics techniques

机译:基于元启发式技术的计算机辅助分子设计

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摘要

One of the challenges in modern chemistry is the problem of designing new molecules with desired properties. The traditional approach to this problem are usually expensive and time-consuming iterative process with the scientist or engineer hypothesizing a compound, synthesizing the material, testing for desired properties, and redesigning the candidate if the desired properties are not met. In the last years, a lot of scientists have reached to the conclusion that the artificial intelligence methods can improve/facilitate the design of new macromolecules with desired properties. One of the challenges in computer aid macromolecular design is to avoid local minima. Our paper present the use of meta-heuristics techniques that can solve this problem. (c) 2007 Wiley Periodicals, Inc.
机译:现代化学中的挑战之一是设计具有所需特性的新分子的问题。解决该问题的传统方法通常是昂贵且耗时的迭代过程,科学家或工程师假设一种化合物,合成材料,测试所需的性能,并在不满足所需性能的情况下重新设计候选对象。近年来,许多科学家得出的结论是,人工智能方法可以改善/促进具有所需特性的新大分子的设计。计算机辅助大分子设计中的挑战之一是避免局部最小值。我们的论文提出了可以解决这个问题的元启发式技术。 (c)2007年Wiley Periodicals,Inc.

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