Computational Core-Level Spectroscopic Imaging

Electronic structures are sensitive to their local environment and it is possible to predict that sensitivity with computational methods.

Developing for Advanced Resources

The Computational Physics Group develops software for computing the electronic and atomic structure of complex solids that is intended for use on high performance computing infrastructure.

Complex Materials Modeling

The Computational Physics Group endeavors to establish new methods for creating a Materials-by-Design paradigm with primary applicability to complex amorphous materials.

The Computational Physics Group

The Computational Physics Group (CPG) at the University of Missouri – Kansas City (UMKC) was formed by Prof. Paul Rulis in the spring of 2011 as an independent spin-off from the highly successful Electronic Structure Group at UMKC.  The CPG is composed of student-researchers who are dedicated to the use of computer simulations to help discover, clarify, and disseminate fundamental knowledge about the physical laws that govern our universe.  The primary focus of the group is the realm of theoretical condensed matter physics, but expansion into other areas of physics research and education is never far from our sights.

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Computational Study of a Heterostructural Model of Type I Collagen and Implementation of an Amino Acid Potential Method Applicable to Large Proteins

Jay Eifler, Paul Rulis, Rex Tai, Wai-Yim Ching
Publisher's website

Crystal Structure and Elastic Properties of Hypothesized MAX Phase-Like Compound (Cr2Hf)2Al3C3

Yuxiang Mo, Sitaram Aryal, Paul Rulis, and Wai-Yim Ching
Publisher's website

Electronic structure, stacking energy, partial charge, and hydrogen bonding in four periodic B-DNA models

Lokendra Poudel, Paul Rulis, Lei Liang, and Wai-Yim Ching
Publisher's website