Dr. Scott A. Roberts is a Principal Research and Development Chemical Engineer in the Thermal/Fluid Component Sciences Department, Engineering Sciences Center at Sandia National Laboratories in Albuquerque, New Mexico. He has a B.S. in Chemical Engineering from the University of Kansas and a Ph.D. in Chemical Engineering from the University of Minnesota, under the supervision of Prof. Satish Kumar. He has worked at the Sandia National Laboratories since 2010 on a variety of projects, please see the research page for more information.
- Perspective on machine learning in electrochemistry published in ACS Energy Letters
This article, which was written in collaboration with international battery modeling and machine learning experts from Argonne NL (A. Mistry), Carnegie Mellon (V. Viswanathan), Imperial College (S. Cooper), and LRCS (A. Franco), discusses how machine learning has impacted the electrochemical sciences over the past decade. Even more importantly, is proposes future areas where the authors expect machine learning will have increased impact in the coming decade, potentially revolutionizing the field. DOI: 10.1021/acsenergylett.1c00194
- Scott Named Associate Editor of J. Electrochemical Energy Conversion and Storage
Scott is honored to be appointed to a three-year term as an Associate Editor for the Journal of Electrochemical Energy Conversion and Storage, published by the ASME. He will be overseeing papers in a wide variety of areas, including batteries, capacitors, fuel cells, etc. He will also be working to increase the journal’s reputation and presence. If you have relevant papers, send them our way!
- Scott Organizing Minisymposium on Image-Based Simulation at USNCCM
If you are involved in any aspect of image-based simulation of as-built materials/components, including image processing, discretization, and physicss simulation, consider submitting a talk abstract to my minisymposium at the 16th US National Congress on Computational Mechanics (USNCCM) this summer in Chicago, IL. Abstracts are due February 5.
- Multi-fidelity Thermal Battery Model Published in J. Power Sources
Thermal batteries involve complex multi-physics interactions. We have developed a detailed computational model for a single thermal battery cell including thermal, species and current transport, and electrochemical reactions. We also compare the tradeoffs between model fidelity, accuracy of predicting key quantities of interest, and computational expense. This article can be read for free until March 4, 2021 and is available afterwards at J. Power Sources.
- Making a Case for Battery Modeling
In collaboration with seven other authors from around the battery modeling community, I recently “Made a Case for Battery Modeling” in the latest version of the Electrochemical Society Interface Magazine. In this work, we presented a brief overview of the impact of computational simulation and modeling on battery technologies and presents opportunities, challenges, and next steps for improving the adoption of modeling in this field. You can find this article open source at Electrochemical Society Interface.
- TABS Wins NNSA DPAE Award
The Thermally Activated Battery Simulator (TABS) development team was recently awarded the National Nuclear Security Administration’s (NNSA) Defense Programs “Exceptional Achievement” award. Our team has developed TABS as a computational model and intuitive user interface for designing thermal batteries. We have deployed TABS to significantly reduce design cycles and qualify new batteries faster.