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Joel Bowman

Joel Bowman is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Joel Bowman rather than just read about it. In short: Joel Mark Bowman is an American physical chemist and educator. He is an emeritus professor at Emory University.

Joel Bowman — main illustration
Joel Bowman — illustration

Key takeaways

  • Joel Bowman belongs to astronomy; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Joel Bowman to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Joel Bowman from memory before moving on to harder problems.

Reference excerpt

Joel Mark Bowman is an American physical chemist and educator. He is an emeritus professor at Emory University.

Education and career Bowman spent his early years in Boston, Massachusetts, attending school in Dorchester and then moving to Brookline. He first attended University of Massachusetts-Amherst and then transferred to the University of California, Berkeley, where he received a bachelor’s degree in 1969. He went to California Institute of Technology for graduate school, and was advised by Donald Truhlar (as he was leaving for the University of Minnesota) to choose Aaron Kuppermann as his advisor. Completing his Ph.D. in 1974, he began his career at Illinois Institute of Technology in Chicago, where he began collaborating with Al Wagner at Argonne National Laboratory. He held a faculty appointment at Argonne from 1978 to 1991. In 1982-1983 he spent a sabbatical at the James Franck Institute of the University of Chicago, and worked as a consultant at Bell Laboratories in 1984. Bowman moved to Emory University in 1986, where he has spent the rest of his career to date.

Research interests Bowman's research interests are in basic theories of chemical reactivity. He is well known for his contributions in simulating potential energy surfaces for polyatomic molecules and clusters. Approximately fifty potential energy surfaces for molecules and clusters have been simulated employing his permutationally invariant polynomial method.

Permutationally invariant polynomial (PIP) method

Simulating potential energy surfaces (PESs) for reactive and non-reactive systems is of broad utility in theoretical and computational chemistry. Development of global PESs, or surfaces spanning a broad range of nuclear coordinates, is particularly necessary for certain applications, including molecular dynamics and Monte Carlo simulations and quantum reactive scattering calculations. Rather than utilizing all of the internuclear distances, theoretical chemists often analytical equations for PESs by using a set of internal coordinates. For systems containing more than four atoms, the count of internuclear distances deviates from the equation 3N−6 (which represents the degrees of freedom in a three-dimensional space for a nonlinear molecule with N atoms). As an example, Collins and his team developed a method employing different sets of 3N−6 internal coordinates, which they applied to analyze the H + CH4 reaction. They addressed permutational symmetry by replicating data for permutations of the H atoms. In contrast to this approach, the PIP method uses the linear least-square method to accurately match tens of thousands of electronic energies for both reactive and non-reactive systems mathematically.

Methodology Generally, the functions used in fitting potential energy surfaces to experimental and/or electronic structure theory data are based on the choice of coordinates. Most of the chosen coordinates are bond stretches, valence and dihedral angles, or other curvilinear coordinates such as the Jacobi coordinates or polyspherical coordinates. There are advantages to each of these choices. In the PIP approach, the N(N − 1)/2 internuclear distances are utilized. This number of variables is equal to 3N −6 (or 3N − 5 = 1 for diatomic molecules) for N = 3, 4 and differs for N ≥ 5. Thus, N = 5 is an important boundary that affects the choice of coordinates. An advantage of employing this variable set is its inherent closure under all permutations of atoms. This implies that regardless of the order in which atoms are permuted, the resulting set of variables remains unchanged. However, the main focus pertains to permutations involving identical atoms, as the PES must be invariant under such transformations.

PIP utilizing Morse variables of the form y i j = e x p ( − r i j / a ) {\displaystyle y_{ij}=exp(-r_{ij}/a)} , where r i j {\displaystyle r_{ij}} is the distance between atoms i {\displaystyle i} and j {\displaystyle j} and a {\displaystyle a} is a range parameter) offers a method for mathematically characterizing high-dimensional PESs. By fixing the range parameter in the Morse variable, the PES can be determined through linear least-squares fitting of computed electronic energies for the system at various structural arrangements. The adoption of a permutationally invariant fitting basis, whether in the form of all internuclear distances or transformed variables like Morse variables, facilitates the attainment of accurate fits for molecules and clusters.

Publications, honors and awards Bowman, who is the Samuel Candler Dobbs Professor Emeritus of Theoretical Chemistry at Emory University, is the author or co-author of more than 700 publications. He is an elected member of the International Academy of Quantum Molecular Sciences. He received the Herschbach Medal, which is the highest award given by the Conference on Molecular Collision Dynamics. He is an honorary fellow of the Chinese Chemical Society and an elected fellow of the American Physical Society and of the American Association for the Advancement of Science. In 2013, a Festschrift issue of the Journal of Physical Chemistry A was published in his honor.. He is also the recipient of the Alexander von Humboldt Research Award.

… excerpt ends here. Continue reading the full article.

Illustrations

Joel Bowman illustration
Joel Bowman: Linear least-squares polynomial fits of indicated order n and r-value in the variables r and y to a Morse potential.[3]
Linear least-squares polynomial fits of indicated order n and r-value in the variables r and y to a Morse potential.[3]
Joel Bowman: Potential energy curve of the internal rotation of CH3OH from a full-dimensional, permutationally invariant potential energy surface[3]
Potential energy curve of the internal rotation of CH3OH from a full-dimensional, permutationally invariant potential energy surface[3]

Worked examples

Example 1 — a first encounter with Joel Bowman

Start with the simplest possible case. Write down what Joel Bowman claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Joel Bowman before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Joel Bowman ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Joel Bowman

In research
Joel Bowman appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Joel Bowman in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Joel Bowman is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1948 births, 21st-century American chemists, California Institute of Technology alumni, so understanding it makes those chapters shorter.
In everyday life
Look for Joel Bowman outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Joel Bowman in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Joel Bowman means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Joel Bowman out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Joel Bowman in simple terms?

Joel Mark Bowman is an American physical chemist and educator. He is an emeritus professor at Emory University.

Why does Joel Bowman matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Joel Bowman?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Joel Bowman.

Tags

  • 1948 births
  • 21st-century American chemists
  • California Institute of Technology alumni
  • Emory University faculty
  • Fellows of the American Association for the Advancement of Science
  • Fellows of the American Physical Society
  • Living people
  • University of California, Berkeley alumni

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