Non-hardware (completely chemistry and physics), software has very interesting chemical uses: simulated annealing, this is an optimization method. From the Wikipedia page:
Simulated annealing (SA) is a heuristic generalized probabilistic element for the global optimization problem that finds a global approximation of a given function in large search space. It is usually used when the search space is discrete (for example, to access all trips for a particular city set). Simulated annealing may be more efficient than thorough enumeration in some problems, as long as the goal is not to find the best solution acceptable at a fixed time, rather than the best solution.
Its name and inspiration comes from metallurgical annealing, a technique involving heating and controlling the cooling material to expand the crystal size and reduce its defects. Both are characteristics of materials that depend on thermodynamic free energy. Heating and cooling materials affect temperature and thermodynamic free energy. The same amount of cooling leads to the same temperature drop, but the proportion of thermodynamic free energy will be larger or smaller depending on the speed at which it occurs, and will be greatly reduced at slower rates.
This slow cooling concept is implemented in a simulated annealing algorithm as it allows for a gradual reduction in the possibility of a poorer solution when searching for solution space. Accepting the worst solution is the basic nature of metaheuristic. It is because you can search for the optimum solution extensively.
This method is based on Scott Kirkpatrick, C. Daniel Gelatt and Mario P. Vecchi were independently described in 1985 [1], Vladočerný was independently described in 1985. This method is described in M. N. The application of the Metropolis - Hastings algorithm, which uses the Monte Carlo method to generate the sample state of the thermodynamic system invented by. Rosenbluth was published in a paper by N. Metropolis et al. In 1953. [3]
Israel's Wiseman Science Institute: The Wiseman Science Institute accepts excellent undergraduates in summer internships in mathematics, computer science, physics, chemistry and life sciences. The application deadline for the 2016 program is January 15, 2015. Travel expenses are not paid, but students receive weekly allowances. The duration of the program is 8 weeks. Please refer to this link for details. National Cancer Research Center (CNIO) (Spain): CNIO offers a summer training course for undergraduates in biomedicine and life sciences. In this course, only 9 undergraduates from around the world are selected. Their 2016 application is not yet open, but here there are links to more information.
Intermediate or advanced courses of science, engineering science or computer science, directly applied to chemistry and physics. These courses should be approved beforehand by the undergraduate or deputy director. In order to fulfill special needs, with the consent of the consultant, the concentrator can request the committee to use other intermediates or advanced science courses for this requirement (described in the physical requirements "Relationship" or "Physical Computing" course being done does not require approval).
Forensics is an application to the legal problems of science in physics, chemistry, biology, computer science, and engineering. Scientific investigative science is based on the understanding of researchers' understanding of how blood splashing patterns occur (physics), learning about the composition and causes of evidence of drugs and trace substances (chemistry), or unknown suspects It helps to identify the person. Forensic science provides scientific evidence through physical evidence analysis and plays a vital role in the criminal justice system. During the investigation, the evidence is collected by the crime scene or someone, analyzed at the criminal laboratory, and submitted to the courtroom. Every crime scene is unique and each case has its own task.