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Dr. David Keffer


keffer_sns_nomad_2Their tool of choice is a high-performance computing tool kit they have built, tested, and now employ in an integrated suite for multiscale modeling. (The challenge for modelers in exploring structure-property relationships from materials is to effectively employ multiscale modeling techniques incorporating four scales of “description”—the quantum scale in which electron distributions are important; the molecular scale in which the distribution of atoms and molecules is important; the mesocale in which the larger clusters of molecules are important; and macro-scale in which the material is treated as a continuum.)

The demonstrated ability to integrate multiple levels of modeling into a coherent, dynamic rendering of the structure-property relationship is a unique hallmark of Keffer’s Computational Materials Research Group.

While the corresponding LDRD project, led by Orlando Rios at ORNL, directly benefits from the modeling results of Keffer’s team, the project collaboration gives the JDRD team the opportunity to expand its range of applications into the strategically important area of high-capacity, low-cost, renewable-source batteries. The goal for both teams is to achieve a fundamental understanding that will allow for the fabrication and production of a revolutionary new anode material for applications such as battery packs in hybrid-electric and fully electric vehicles.

keffer_sns_nomad_4

Keffer’s students have been especially excited to have the opportunity of hands-on familiarity with the LDRD experiments at the NOMAD beam line of the Spallation Neutron Source at ORNL. More generally, lessons learned in communication skills and in how to acquire cross-disciplinary subject expertise serve to prepare students to be team members in developing applications in other fields of study.

keffer_sns_nomad_3For his part, Rios reports that Keffer’s modeling and computational work has been so integral to the experimentation process that their combined effort has become a truly synergistic approach to modeling and synthesis.  Going well beyond the simple comparison of model and data, the computational team has predicted results later proven experimentally.

You cannot get much better than that.

Progress to date has already led to substantive proposals jointly undertaken by the two teams. Also submitted for publication is an article by the JDRD team—including post doc Qifei Wang and graduate student Nick McNutt.


JDRD project:
Lignin-based high performance Li-ion anode materials synthesized from low-cost renewable resources (year 2)
David Keffer, UT Materials Science and Engineering Department

LDRD project:
Lignin-based high performance Li-ion anode materials synthesized from low-cost renewable resources
Orlando Rios, ORNL Materials Science and Technology Division


David KefferDavid Keffer has become well versed in this multiscale modeling process and now his JDRD team applies their high-performance computing parallelized tool kit to understand the fundamental relationship between nanostructure and lithium-ion conductivity in lignin-based carbon fiber (LCF) anodes.

The challenge for modelers in exploring structure-property relationships from materials is to effectively employ multiscale modeling techniques incorporating four scales of “description”—the quantum scale in which electron distributions are important; the molecular scale in which the distribution of atoms and molecules is important; the mesoscale in which the larger clusters of molecules are important; and macro-scale in which the material is treated as a continuum.

By extension from previous work on proton transport in fuel cell membranes, Keffer’s JDRD study employs an integrated suite of multiscale modeling tools. The demonstrated ability to integrate all four levels of modeling into a coherent, dynamic rendering of the structure-property relationship is a unique hallmark of Keffer’s Computational Materials Research Group.

So why does this research matter? If a new lignin-based carbon anode can be developed for lithium-ion battery packs, many advantages accrue: the new material will enable a complete redesign of the anode with superior capabilities that can be “tuned”—that is, tailored—to greatly improve electrochemical performance; cost, weight, and volume of the fabricated battery are substantially reduced; and lignin constitutes a renewable resource available for extraction in abundance from biomass in paper mills and future bio-refineries.

ComputersIn the joint collaboration, Keffer’s JDRD team, including post-doc Qifei Wang and graduate student Nick McNutt, provides high-performance, multiscale computational modeling in support of the experimental synthesis and characterization work on novel battery electrode materials from the corresponding LDRD, led by Orlando Rios of the Materials Processing Group at ORNL. Based upon data and parameter specifications from the experimental team, the JDRD simulations provide the experimental LDRD group with molecular-level guidance in their task of synthesis of tailored nanostructures in the LCF anodes; and the subject/materials expertise of the LDRD team gives the JDRD team the opportunity to expand its range of applications into the strategically critical area of batteries.

Combining theory and experiment in this highly effective and synergistic package will allow both teams to more aggressively compete in applying for larger grants in energy storage initiatives.

See example animations and interactive structures created from molecular dynamics simulation and quantum calculations.


JDRD project:
Lignin-based high performance Li-Ion anode materials synthesized from low-cost renewable resources
David Keffer, UT Department of Chemical and Biomolecular Engineering

LDRD project:
Lignin-based High-Performance Li-Ion Anode Materials Synthesized from Low-Cost Renewable Resources
Orlando Rios, ORNL Materials Science and Technology Division