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Albert, Daniel R. – Journal of Chemical Education, 2020
Monte Carlo simulations for uncertainty propagation take as inputs the uncertainty distribution for each variable and an equation for the calculation of a desired quantity. The desired quantity is then calculated by randomly drawing from the specified uncertainty distributions of the input variables. This calculation is then repeated many times…
Descriptors: Monte Carlo Methods, Science Instruction, Measurement, Undergraduate Students
Williamson, Timothy – Physics Teacher, 2013
During the summer of 2012, I had the opportunity to participate in a research experience for teachers at the center for sustainable energy at Notre Dame University (RET @ cSEND) working with Professor John LoSecco on the problem of using antineutrino detection to accurately determine the fuel makeup and operating power of nuclear reactors. During…
Descriptors: Science Instruction, Computation, Scientific Concepts, College Science
Tully, Shane P.; Stitt, Thomas M.; Caldwell, Robert D.; Hardock, Brian J.; Hanson, Robert M.; Maslak, Przemyslaw – Journal of Chemical Education, 2013
A Monte Carlo method is used to generate interactive pointillist displays of electron density in hydrogenic orbitals. The Web applet incorporating Jmol viewer allows for clear and accurate presentation of three-dimensional shapes and sizes of orbitals up to "n" = 5, where "n" is the principle quantum number. The obtained radial…
Descriptors: Visual Aids, Monte Carlo Methods, Interactive Video, Computer Uses in Education
Hoyer, Chad E.; Kegerreis, Jeb S. – Journal of Chemical Education, 2013
The essentials of Monte Carlo integration are presented for use in an upper-level physical chemistry setting. A Mathcad document that aids in the dissemination and utilization of this information is described and is available in the Supporting Information. A brief outline of Monte Carlo integration is given, along with ideas and pedagogy for…
Descriptors: Monte Carlo Methods, Chemistry, Physics, Computer Assisted Design
Sosnowski, Stanislaw – Journal of Chemical Education, 2013
Free software for the demonstration of the features of homo- and copolymerization processes (free radical, controlled radical, and living) is described. The software is based on the Monte Carlo algorithms and offers insight into the kinetics, molecular weight distribution, and microstructure of the macromolecules formed in those processes. It also…
Descriptors: Computer Software, Computer Uses in Education, Educational Technology, Science Instruction
Litaker, E. T.; Machacek, J. R.; Gay, T. J. – European Journal of Physics, 2011
We present a Monte Carlo simulation of a cylindrical luminescent volume and a typical lens-detector system. The results of this simulation yield a graphically simple picture of the regions within the cylindrical volume from which this system detects light. Because the cylindrical volume permits large angles of incidence, we use a modification of…
Descriptors: Research Design, Monte Carlo Methods, Optics, Computation
Aiola, Salvatore; La Rocca, Paola; Riggi, Francesco; Riggi, Simone – European Journal of Physics, 2012
An experimental setup, based on a plastic scintillator with an embedded wavelength shifter fibre and photosensors at the two ends, has been used to detect cosmic muons in undergraduate laboratory activities. Time and amplitude information from the two photosensors were measured using the time-over-threshold technique. The distribution of the…
Descriptors: Science Experiments, Energy, Undergraduate Students, Higher Education
Devlin, J. F.; Brookfield, A.; Huang, B.; Schillig, P. C. – Journal of Geoscience Education, 2012
The Domenico solution is a heuristic simplification of a solution to the transport equation. Although there is a growing consensus that the Domenico solution is undesirable for use in professional and research applications due to departures from exact solutions under certain conditions, it behaves well under conditions suitable for instruction.…
Descriptors: Equations (Mathematics), Heuristics, Geology, Science Instruction
Guastella, Ivan; Fazio, Claudio; Sperandeo-Mineo, Rosa Maria – European Journal of Physics, 2012
A procedure modelling ideal classical and quantum gases is discussed. The proposed approach is mainly based on the idea that modelling and algorithm analysis can provide a deeper understanding of particularly complex physical systems. Appropriate representations and physical models able to mimic possible pseudo-mechanisms of functioning and having…
Descriptors: Predictive Validity, Quantum Mechanics, Science Education, Science Instruction
Beddard, Godfrey S. – Journal of Chemical Education, 2011
Thermodynamic quantities such as the average energy, heat capacity, and entropy are calculated using a Monte Carlo method based on the Metropolis algorithm. This method is illustrated with reference to the harmonic oscillator but is particularly useful when the partition function cannot be evaluated; an example using a one-dimensional spin system…
Descriptors: Thermodynamics, Scientific Concepts, Calculus, Computation
Morio, Jerome; Pastel, Rudy; Le Gland, Francois – European Journal of Physics, 2010
Monte Carlo simulations are a classical tool to analyse physical systems. When unlikely events are to be simulated, the importance sampling technique is often used instead of Monte Carlo. Importance sampling has some drawbacks when the problem dimensionality is high or when the optimal importance sampling density is complex to obtain. In this…
Descriptors: Science Instruction, Physics, Simulation, Sampling
Capizzo, M. C.; Sperandeo-Mineo, R. M.; Zarcone, M. – European Journal of Physics, 2008
We present a pedagogic approach aimed at modelling electric conduction in semiconductors in order to describe and explain some macroscopic properties, such as the characteristic behaviour of resistance as a function of temperature. A simple model of the band structure is adopted for the generation of electron-hole pairs as well as for the carrier…
Descriptors: Teaching Methods, Science Instruction, Laboratory Equipment, Science Experiments
Peralta, Luis; Farinha, Ana Catarina; Rego, Florbela – European Journal of Physics, 2008
X-ray fluorescence is a non-destructive technique that allows elemental composition analysis. In this paper we describe a prescription to obtain the elemental composition of homogeneous coins, like 50 cent Euro coins, and how to get the quantitative proportions of each element with the help of Monte Carlo simulation. Undergraduate students can…
Descriptors: Undergraduate Students, Monte Carlo Methods, Chemistry, Science Laboratories
Davis, Stephen L. – Journal of Chemical Education, 2007
The practicality and usefulness of variational Monte Carlo calculations to atomic structure are demonstrated. It is found to succeed in quantitatively illustrating electron shielding, effective nuclear charge, l-dependence of the orbital energies, and singlet-tripetenergy splitting and ionization energy trends in atomic structure theory.
Descriptors: Nuclear Physics, Monte Carlo Methods, Chemistry, College Science
Peer reviewedSerrano, Agostinho; Santos, Flavia M. T.; Greca, Ileana M. – Journal of Chemical Education, 2004
The use of molecular dynamics and Monte Carlo methods has provided efficient means to stimulate the behavior of molecular liquids and solutions. A Monte Carlo simulation program is used to compute the structure of liquid water and of water as a solvent to Na(super +), Cl(super -), and Ar on a personal computer to show that it is easily feasible to…
Descriptors: Monte Carlo Methods, Molecular Structure, Chemistry, Water
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