Search

Standard molecular dynamics (MD) and Monte Carlo (MC) simulations deal with spherical particles. Extending the standard simulation methodologies to the nonspherical objects is non‐trivial. To circumvent this problem, nonspherical bodies are often treated as a collection of constituent spherical objects. As the number of these constituent objects becomes large, the computational burden to simulate the system also increases. Here, an alternative way is proposed to simulate nonspherical rigid bodies having pairwise repulsive interactions. This approach is based on a machine learning (ML)‐based model, which predicts the overlap between two nonspherical bodies. The ML model is easy to train and the computation cost of its implementation remains independent of the number of constituent spheres used to represent a nonspherical rigid body. When used in MC simulation, this method is faster than the standard implementation, where overlap determination is based on calculating the distance between constituent spheres. This proposed ML‐based MC method produces similar structural features (in comparison to the standard implementation) in both two and three dimensions, and can qualitatively capture the isotropic to nematic transition of rigid rods in three dimensions. It is believed that this work is a step toward a time‐efficient simulation of non‐spherical rigid bodies.

A company's employees are its most valuable resource. A company's greatest asset is its talented employees. An organization cannot grow if its members cannot think creatively and provide useful feedback. To ensure that a company can meet its current and future needs, it is essential to hire people with the right skills, qualifications and experience. Companies will only receive positive responses if they adopt innovative measures to attract jobseekers and provide jobseekers with the information, they need to make their own choices. Recruiters review resumes and contact qualified candidates to fill vacancies. The recruiter's duties include speaking with potential new recruits, finding out about their employment history, and advising on compensation and promotion. While interning for a well-known organization during the recent pandemic, I took the following steps, which I describe in this report.

In this multidisciplinary project several aspects of geosciences are combined. The regional geology background was summarized and linked to the borehole data. Multiple tests were conducted on the well to answer several questions. The slug test indicated that the fracture is still open and essentially confirmed that it is a shear fracture, however it is unclear to what extent that the fracture is open. The fracture seems to be hydraulically connected to a permeable unit or shallow aquifer. Unfortunately, the length of the fracture could not be determined with the data collected from the test. Electrical resistivity tomography (ERT) and seismics were both applied to a location near the borehole to acquire lateral information of the subsurface. The ERT results showed that the layers were horizontally continuous and indicated layers with different compositions based on resistive properties. Seismic refraction tomography conducted along a part of the same profile showed similar results as the ERT for that part of the profile. P-wave velocities indicate a horizontally layered subsurface in the upper 40m. Additionally surface wave analysis of the same setup utilizing active and passive measurements resulted in a vertical s-wave velocity profile that can be used for future implementation of the planned Borehole Thermal Energy Storage (BTES) system. The last geophysical method was using gravity data on the region around the site. A map was made by using available data on changes in gravity in the region and plotting the results. On this map the location of remnants of volcanos and the Litoměřice deep fault can be recognised. Thermal properties of cores were analyzed using a Hot Disk and an optical scanner. Unfortunately the drilling of a new well from which the cores were to be analyzed was delayed, and cores from an uranium mine were used. This way the advantages and disadvantages of both measuring devices could be argued and used for future research., Civil Engineering