Bay Area lab’s new model for forecasting wildfires could change how they’re fought — and save lives

Multi-ignition wildfires are a dangerous challenge for firefighters. But a new model from the Lawrence Livermore National Laboratory and UC Irvine could be a crucial new tool.
IEEE

Balancing Charge Loss and Carrier Mobility: A Multiscale Modeling Approach for Device Geometry Optimization of VS-DRAM Dual-Gate Access Transistors

Abstract: In the pursuit of advancing memory density, the vertically stacked dynamic random-access memory (VS-DRAM) architecture shows promise but encounters significant obstacles. This study focuses ...
Frontiers

Modeling and Engineering T Cells: From Systems Understanding to Next-Generation Immunotherapies

T cells sit at the center of modern immunotherapy, yet many of the rules that govern their activation, differentiation, dysfunction (e.g., exhaustion), and ...
Frontiers

Information Theory Meets Network Physiology: Modeling Nonlinear Interactions in Complex Systems

Information theory and network physiology are rapidly converging fields that offer powerful frameworks for unraveling the complexities of living systems. At ...
GitHub

A Python tool for processing GDAS (Global Data Assimilation System) data for use with the CMAQ (Community Multiscale Air Quality) modeling system.

This is recommended in order to get grib2io's C dependencies installed. start_date Start date for processing (YYYY-MM-DD) Required end_date End date for processing (YYYY-MM-DD) Required ...
IEEE

Hybrid Element-Level and Subdomain-Level DGTD Method for Multiscale Electromagnetic Modeling

Abstract: In this letter, a hybrid element-level and subdomain-level discontinuous Galerkin time-domain (DGTD) method is proposed for efficient modeling of multiscale electromagnetic problems. Based ...