Department of Physics
Truman State University
- Wave propagation. Surface elastic waves
- Ray theory and caustic formation
- Physics of imaging. Seismic and X-ray imaging
- Mathematical physics. Differential geometry
- Foundations of quantum mechanics
- Quantum optics and quantum electronics
- Computational fluid dynamics
- Numerical simulations in statistical mechanics
- Phase transitions and critical phenomena
- Cosmology. Dark Energy.
- Beyond Clausius–Clapeyron: Determining the second derivative of a first-order phase transition line
American Journal of Physics, 82 (2014), pp. 301-305
- Fundamentals of Thermodynamics and Statistical Mechanics: Lecture Notes.
Second Edition. CreateSpace Publishing (2010).
- A simple derivation of a result in electrostatics
SIAM Review 40 (1998) 915-917.
- When does thermodynamic work admit an integrating factor?
European Journal of Physics 18 (1997) 18-21.
- Microcanonical evidence of a first order phase transition in the 4-D U(1) lattice gauge theory
Physical Review E 54 (1996) 5819-5821.
- The transistor effect in improperly connected transistors
The Physics Teacher 34 (1996) 118-119.
Some Student Research Projects
- The Second Derivative of a First Order Phase Transition Line
Am. J. Phys. 82 (2014), pp. 301-305
- Wiener Filtering and Analysis of Gravitational Wave Data
- Algebraic Reconstruction Technique in Computed Tomography
Rachel McCarroll and Patrick Meyers
- Analog Simulation of Memristors
- Quantum Computer Science
- Hydraulic Jump
- Monte Carlo Simulations of Spin Systems
- Dark Energy
- Thermodynamic Properties of Fermions
- Fluorescence Experiments with a Nirogen Laser
- Computational Fluid Dynamics
- Laser Spectroscopy of Rubidium
- Minority Carrier Lifetime in the Base of a Phototransistor
- Lattice Gas Simulation of Fluid Flow.
** First Place MAS Collegiate Division Award 1998 **
- Hidden Variables and the Interpretation of Quantum Mechanics
If you are interested on doing research with me, on any topic, please stop by my office or e-mail me at:
"…it is also a good rule not to put overmuch confidence in the observational results that are put forward until they have been confirmed by theory" – Sir Arthur Eddington