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Conceptual understanding, physical

FLUID DYNAMICAL ASPECTS AND MACROSCOPIC THEORY. The following section shows that one can join statistical mechanics with fluid dynamics in the spirit of the global simulations this link is essential. The conceptual, intellectual and practical importance of this link is equally important and we are confident to have opened an important path to further understand physical phenomena. [Pg.249]

In this section, we will analyze an elementary problem in quantum mechanics, the square barrier. The purpose is twofold. First, such an analysis can provide physical insight into the process, to gain a conceptual understanding. Second, analytically soluble models are indispensable for assessing the accuracy of approximate methods, such as the MBA. [Pg.59]

An integral part of a student s education in physical chemistry is laboratory/practical work. While it is generally accepted that the main purposes of laboratory work are to teach hand skills and to illustrate theory, significant problems have been identified in the science education literature about the laboratory courses, and in particular about the ineffectiveness of laboratory instruction in enhancing conceptual understanding (135, 136), and unrealistic in its portrayal of scientific experimentation (137). [Pg.97]

This part provides a conceptual understanding of stochastic, bias, and fitting errors m frequency-domain measurements. A major advantage of frequency-domain measurements is that real and imaginary parts of the response must be internally consistent. The expression of this consistency takes different forms that are known collectively as the Kramers-Kronig relations. The Kramers-Kronig relations and their application to spectroscopy measurements are described. Measurement models, used to assess the error structure, are described and compared with process models used to extract physical properties. [Pg.539]

Huffman, D. (1997). Effect of explicit problem-solving instruction on high school students PS performance and conceptual understanding of physics. Journal of Research in Science Teaching, 34,551-570. [Pg.263]

In this chapter, we turn to problems of quantum chemistry and of many-electron atomic and molecular physics for which fhe desideratum is the quantitative knowledge and easy conceptual understanding of dynamical processes and phenomena thaf depend explicifly on time. We focus on a theoretical and computational approach which computes q>(q,t) by solving nonperturbatively the many-electron TDSE for unstable states of atoms and small molecules. The time evolution of fhese states is caused either by the time-independent Hamiltonian, Ham ( -g-/ case of time-resolved autoionization—see below) or by the time-dependent Hamiltonian, H t) = Ham + Vext(f), where Vext(f) is the sum of the identical one-electron operators that couple the field of a strong pulse of radiation to the electronic and nuclear moments of N-electron atomic or molecular states of inferest, thereby producing, during and at the end of the interaction, final stafes in the ionization or the dissociation continua. [Pg.337]

Sahin, M. (2010). The impact of problem-based learning on engineering students beliefs about physics and conceptual understanding of energy and momentum. European Journal of Engineering Education, 35(5), 519-537. [Pg.137]

A similar phenomenon has been discovered in physics instruction [40]. Students who consistently attain the correct solution to physics problems often lack conceptual understanding of the principles of physics that provide the rationale for the problem solving procedures they are applying. Physics students operate with ideas - variously called misconceptions, alternative conceptions, or naive conceptions - that contradict the principles of the physical theory that is supposed to be applied in the problem solving exercises. For instance, students may believe in the impetus principle, rather than in the principle of inertia. They nevertheless manage to solve mechanics problems, using problem solving procedures that are disconnected from their beliefs about the physical world. [Pg.85]

In conclusion, MBL tools used in the context of a carefully developed constructivist curriculum can help students develop a solid conceptual understanding of kinematics. Data show substantial and persistent learning of basic physical concepts not often learned in lectures. Similarly positive results have been observed for heat and temperature concepts. [Pg.164]

McDermott, L.C. Research on conceptual understanding in mechanics. Physics Today, 37, 24-32. 1984. [Pg.242]

Two other approaches have been taken in order to model the active site and its environment. The first has been to use somewhat less accurate quantum-chemical methods to obtain a more qualitative understanding of the key surface states, reaction pathways and mechanism. The key parameters can then be refined by the use of high level theory and/or experiments on model systems which are much smaller. The main benefit of theory then has been the design of a physically justifiable microscopic description of the catalytic system, with a qualitatively correct conceptual understanding. [Pg.13]

Physical chemistry tutorials reinforce conceptual understanding. Over 460 tutorials are available in MasteringChemistry for Physical Chemistry, including new ones on The Cyclic Rule and Thermodynamic Relation of Proofs. [Pg.1]

In principle, knowledge of an atom or molecule s electronic structure i.e., the quantum mechanical wavefunction) would enable one to predict both its physical properties and its chemical behavior, including the outcome of reactions with other atoms or molecules whose electronic structure are equally well known (cf Daudel, 1973 Daudel et al., 1982). But because the Schrddinger equation cannot be solved exactly for any system more complicated than the hydrogen atom, the wavefunction of atoms and molecules must be approximated. Spectroscopy provides us with an observational link between the macroscopic and microscopic realms of matter, and it has been both a guide to our conceptual understanding of matter and a means to approximate parameters that are used in semiempirical computational chemistry (cf. Segal, 1977). [Pg.86]


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