I am interested in developing electronic structure methods and applying them to interesting problems in chemical catalysis, electrochemistry and fuel cells, solar and renewable energy, and quantum computing.
We have a long-standing interest in chemical catalysis, especially using organometallic compounds. We’ve studied polymerization and methane activation catalysts. As well as some other catalytic topics. More recently, I’ve been working with the Kemp and Goldberg groups to investigate their Pd oxidation catalysts. We also have a long-standing interest in electrocatalysis, both in biological enzymes and their simpler analogues, as well as on solid electrode surfaces. We’ve also looked at hydrogen storage for potential use by fuel cells.
We have just begun a project to consider the multiscale modeling of thermal runaway in transportation Li-ion batteries. Transitioning from fossil-fueled to electrified vehicles depends on developing batteries that are increasingly economical, reliable, and safe. Substantially improving transportation battery safety relies on greatly improving our understanding of the complex processes that can lead to thermal runaway, which can result in explosive energy release. We are developing a physics-based numerical simulation capability for tracking thermal history and predicting the onset of thermal runaway in transportation-based, secondary Li-ion batteries. The simulation methodology will be rooted in a first-principles description of the governing atomistic processes at the electrode-electrolyte interface. The atomistic chemical information will be propagated through multiple length scales to a continuum-scale description of thermal transport and failure. This simulation capability will enable exploration and characterization of a variety of operational conditions and their associated thermal histories so that potential safety and stability issues of new battery designs can be identified and mitigated prior to fabrication. This development will constitute a unique capability with far reaching value for Sandia’s work in battery technology and energy systems for government sponsors and commercial partners.
We have a long-standing interest in semiconductor growth and reconstruction, that was originally based in some efforts on Si and GaN (unpublished) growth. We have also considered some simple rotaxane based molecular switches.
We also model solid state semiconductor qubits in silicon. We’ve looked at both donor-based systems and quantum dots as spin-based qubits. We’re interested in developing accurate enough simulation tools so that we can help determine the best devices and potentials to achieve single-electron behavior in these devices. We’re also interested in understanding enough about operations like the exchange interaction on these qubits to model noise and decoherence properties. We also are interested in techniques for moving qubits around, mostly centered around the CTAP procedure.
We have investigated the reaction pathways of nitramine-based high explosives, in particular HONO elimination pathways, and have developed detailed reaction mechanisms for RDX and HMX based on these studies.
My graduate work developed faster algorithms for two-electron integrals in electronic structure algorithms using pseudospectral approaches, as well as faster convergence techniques, work that is currently released in Schrodinger’s Jaguar program. As a postdoc, I investigated QM/MM methods for enzyme catalysis. Later, we considered some improved methods for QMC simulations.
More recently, I’ve looked at density matrix purification techniques (mostly based on the excellent work of Niklasson at Los Alamos) and other methods to speed eigensolvers for quantum chemistry and density functional theory. We have also investigated exact exchange methods to find orbital-dependent density functionals. We have also looked into LMTO work for Lanthanide and Actinide compounds; my interest was in seeing how well these methods could be parallelized.
Being a quantum chemist means that we also generally have to interface with other techniques like molecular dynamics and Monte Carlo techniques, via multiscale modeling techniques.
Contact information:
Email: rmuller@sandia.gov
Phone: 505-284-3669
FAX: 505-284-2518
Web: http://www.cs.sandia.gov/~rmuller
My office is in the Computer Science Research Institute at Sandia, at 1450 Innovation Parkway, Albuquerque, NM. Map/Driving Instructions.
Mailing Address:
Multiscale Dynamic Material Models
Sandia National Labs
P.O. Box 5800, Mail Stop 1322
Albuquerque, NM 87185-1322
Mail that needs a street address (e.g. express mail/Fed Ex):
Sandia National Laboratories
Building CSRI/270
1515 Eubank SE
Albuquerque, NM 87123-1319