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We live in a wonderful time for teaching physical chemistry. Using
symbolic mathematics software appropriately, we can effectively
implement the physical chemistry curriculum, bringing about even more
comprehensive chemistry teaching and learning. Change has been
occurring in the physical chemistry curriculum for over 75 years but
its pace has increased phenomenally in the last decade due to the
availability of computers. The story of change starts with
Farrington Daniels in the 1920s at the University of
Wisconsin–Madison. There Daniels was assigned to teach advanced
physical chemistry and a course in calculus for chemists. Daniels,
never having had a course in calculus, kept one step ahead of the
students and eventually wrote the first book on calculus for physical
chemistry (1–3). A more recent
textbook contribution to mathematics for physical chemistry is by
Francl (4). Examination of the two volumes
shows a striking overlap. Francl calls calculus for physical chemistry
“guerilla math”. I am sure this is what most students think
as well. Nevertheless mathematics is essential for progress in physical
chemistry, even for those who will not become physical chemists.
Mathematics may also be one reason why many students do not choose to
be chemistry majors. Curriculum change incorporating symbolic
mathematics software allows instructors to provide students with more
meaningful mathematical experiences (even students with only two
semesters of calculus), leading to better understanding of core
concepts. The templates available in symbolic mathematics software
furnish the tools students need to advance their mathematical skills,
appreciate mathematical models in science, and apply understanding of
models to the practice of spectroscopy. Well-crafted templates permit
exploration and discovery of concepts free from the drudgery of
programming or numerous error-prone hand calculations and plots. Using
these templates encourages students to focus on concepts and promotes
instructor–student discussion. Visualizing
Particle-in-a-Box Wavefunctions In this column we introduce two
new Mathcad documents. The first, “Visualizing Particle-in-a-Box Wavefunctions
Using Mathcad”, provides a series of laboratory exercises
that explore the properties of wavefunctions for the simple particle in
a box, a step potential, and a double-well potential. The template is
arranged with clear instructions that permit students to proceed after
learning only a few basic Mathcad operations. Students learn how the
wave-functions look and the effect of the size of the box on energy
level separation. They learn that the boundary condition forces
quantization and can verify the relationship between length of the box
and particle energy. The template uses the Runge–Kutta method for
numerically solving the differential equations. It provides a concrete
introduction to the tunneling concept and the relationship between
energy and the curvature of the wavefunction. Students are asked to
find the eigenvalue and wavefunction by iteratively varying the initial
energy and testing the resulting wavefunction to see if it matches the
boundary properties of a quantum mechanical wavefunction. An
instructor’s document details the method used in the template and
provides sample wavefunction plots for the three cases studied. The
template would be an ideal laboratory assignment early in the semester
when students would be learning Mathcad and beginning to see the
solution to simple box models in the lecture portion of the course.
Femtosecond Spectroscopy The second document takes students
on an exploration of femtosecond
spectroscopy. This template would be a valuable addition to the
latter part of the traditional quantum chemistry semester for
undergraduates and first-year graduate students. Here the focus is the
harmonic oscillator in both the time-independent and time-dependent
forms. Students first practice determining energy levels for the
time-independent harmonic oscillator. They then move to explore the
distribution of energies in an ultra-short laser pulse and see how
these energies contribute to the population of multiple excited states
of a harmonic oscillator. The lesson includes consideration of the
Franck–Condon factors and the probability of any particular
excited state being populated. Both 100- and 350-fs laser pulses are
considered, and the time dependence of the population of the excited
state probability distribution is examined. The author provides an
animation, developed using Mathcad, for the 100-fs time evolution of
the populated states. The ‘Femtochemistry’ template enables
students to work with models based on the work of Baskin and Zewail
(5). All of the concepts presented in this
document are easily within the reach of the typical undergraduate
student, and working with this template makes it clear how knowledge of
quantum chemistry models is important for modern spectroscopy.
Literature Cited - Daniels, F. J.
Chem. Educ. 1958, 35,
322–333.
- Daniels, F. J. Chem.
Educ. 1929, 6, 254–259.
- Daniels, F. Mathematical Preparation for
Physical Chemistry; McGraw-Hill: New York, 1928.
- Francl, M. Survival Guide for Physical
Chemistry; Physics Curriculum and Instruction, Inc.: Lakeville,
2001.
- Baskin, J. S.; Zewail, A. H. J. Chem. Educ.
2001, 78, 737–751.
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