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 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!
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.
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.
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.
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.
My department has new postings for post-doc and staff positions in thermal protection system modeling. The candidate could be performing research on Sandia’s extensive high-performance computing assets using leading-edge multi-physics simulation codes and interacting with manufacturing experts and experimentalists to develop next-generation TPS materials. The candidate will show skills and interest in research spanning multiple disciplines, including heat transport, multi-material mechanical deformation, composite materials, microscale/mesoscale modeling, ablation chemistry, and aerosciences. Post-doc applicants should have experience in related technologies/areas, while staff applicants must have demonstrated experience in thermal protection system and/or composites manufacturing and performance modeling. Please apply online if you are interested.
Scott presented an invited lecture entitled "Electrode Mesoscale Morphology: How 3D Imaging Combined with Predictive Simulation Improves Performance Insight" at the ARTISTIC project First Battery Manufacturing Days in late June 2020. The recording of this presentation is now available online.
Our latest paper, covering large-scale discrete element simulations of the manufacturing process of lithium-ion battery electrodes, was published in ACS Applied Materials & Interfaces. Images from this paper were also selected as cover art for the issue. This was our first paper with post-doc Ishan Srivastava and represents over two years of work and millions of CPU-hours of simulations. We’re very excited about what this work represents for fundamentally understanding how conductive binder domains (CBDs) form during electrode coating, drying, and calendering. Congratulations Ishan and the rest of the team! DOI: 10.1021/acsami.0c08251