A Laser, a Genetic Algorithm and Some Molecules: Ingredients for Controlled Photochemistry
نویسنده
چکیده
The interaction of light with matter has been an intensely studied area both theoretically and experimentally. Lasers are one of the most important tools for such experimental research. Progress in this area has been linked to the evolving capabilities of lasers. There are two features of lasers that are of importance in the study of light matter interactions the pulse duration and intensity. Rapid improvements in these two features have allowed scientists to probe regimes where molecular interactions can be observed on molecular timescales. However, though these features allow us to observe molecular phenomena, manipulation of these features does not allow us to reach our ultimate goal, viz. control of molecular phenomena. To have such control one must look at another feature of lasers the shape of the pulse itself.
منابع مشابه
QSAR models to predict physico-chemical Properties of some barbiturate derivatives using molecular descriptors and genetic algorithm- multiple linear regressions
In this study the relationship between choosing appropriate descriptors by genetic algorithm to the Polarizability (POL), Molar Refractivity (MR) and Octanol/water Partition Coefficient (LogP) of barbiturates is studied. The chemical structures of the molecules were optimized using ab initio 6-31G basis set method and Polak-Ribiere algorithm with conjugated gradient within HyperChem 8.0 environ...
متن کاملAn Optimized PID for Capsubots using Modified Chaotic Genetic Algorithm (RESEARCH NOTE)
This paper proposes a design for a mesoscale capsule robot which can be used in gaining diagnostic data and delivering medical treatment in inaccessible parts of the human body. A novel approach is presented for the capsule robot control: A PID-controlled closed-loop approach. A modified chaotic genetic algorithm will be used to optimize the coefficients of PID controller. Then, simulation will...
متن کاملDetection of some Tree Species from Terrestrial Laser Scanner Point Cloud Data Using Support-vector Machine and Nearest Neighborhood Algorithms
acquisition field reference data using conventional methods due to limited and time-consuming data from a single tree in recent years, to generate reference data for forest studies using terrestrial laser scanner data, aerial laser scanner data, radar and Optics has become commonplace, and complete, accurate 3D data from a single tree or reference trees can be recorded. The detection and identi...
متن کاملVoltage profile improvement through online dynamic voltage restorer controlled by chaos-based genetic algorithm
Improving reliability indices, increasing the grid production capacity, reducing power loss during peak periods and fuel cost, and economic and environmental considerations on the one hand, and the progresses made in the field of semiconductor devices on the other hand, are some of the factors that increase the penetration of the renewable energy sources to the distributed network. When the pho...
متن کاملPerformance Improvement of Direct Torque Controlled Interior Permanent Magnet Synchronous Motor Drives Using Artificial Intelligence
The main theme of this paper is to present novel controller, which is a genetic based fuzzy Logic controller, for interior permanent magnet synchronous motor drives with direct torque control. A radial basis function network has been used for online tuning of the genetic based fuzzy logic controller. Initially different operating conditions are obtained based on motor dynamics incorporating...
متن کامل