Advances and challenges in thermal runaway modeling of lithium-ion batteries.

The broader application of lithium-ion batteries (LIBs) is constrained by safety concerns arising from thermal runaway (TR). Accurate prediction of TR is essential to comprehend its underlying mechanisms, expedite battery design, and enhance safety protocols, thereby significantly promoting the safer use of LIBs. The complex, nonlinear nature of LIB systems presents substantial challenges in TR modeling, stemming from the need to address multiscale simulations, multiphysics coupling, and computing efficiency issues. This paper provides an extensive review and outlook on TR modeling technologies, focusing on recent advances, current challenges, and potential future directions. We begin with an overview of the evolutionary processes and underlying mechanisms of TR from multiscale perspectives, laying the foundation for TR modeling. Following a comprehensive understanding of TR phenomena and mechanisms, we introduce a multiphysics coupling model framework to encapsulate these aspects. Within this framework, we detail four fundamental physics modeling approaches: thermal, electrical, mechanical, and fluid dynamic models, highlighting the primary challenges in developing and integrating these models. To address the intrinsic trade-off between computational accuracy and efficiency, we discuss several promising modeling strategies to accelerate TR simulations and explore the role of AI in advancing next-generation TR models. Last, we discuss challenges related to data availability, model scalability, and safety standards and regulations.

COVID-19 as a Trigger for Type 1 Diabetes.

Type 1 diabetes (T1D) is usually caused by immune-mediated destruction of islet ß cells, and genetic and environmental factors are thought to trigger autoimmunity. Convincing evidence indicates that viruses are associated with T1D development and progression. During the COVID-19 pandemic, cases of hyperglycemia, diabetic ketoacidosis, and new diabetes increased, suggesting that SARS-CoV-2 may be a trigger for or unmask T1D. Possible mechanisms of ß-cell damage include virus-triggered cell death, immune-mediated loss of pancreatic ß cells, and damage to ß cells because of infection of surrounding cells. This article examines the potential pathways by which SARS-CoV-2 affects islet ß cells in these 3 aspects. Specifically, we emphasize that T1D can be triggered by SARS-CoV-2 through several autoimmune mechanisms, including epitope spread, molecular mimicry, and bystander activation. Given that the development of T1D is often a chronic, long-term process, it is difficult to currently draw firm conclusions as to whether SARS-CoV-2 causes T1D. This area needs to be focused on in terms of the long-term outcomes. More in-depth and comprehensive studies with larger cohorts of patients and long-term clinical follow-ups are required.