PyBaMM
PulseAugur coverage of PyBaMM — every cluster mentioning PyBaMM across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
Small LLMs struggle with multi-step tool use in agentic applications
A developer building an agentic assistant for battery engineering discovered limitations when using smaller language models, specifically the qwen2.5:7b model. While single-tool calls for simulations were reliable, mult…
-
New AI frameworks enhance battery degradation modeling and data curation
Researchers have developed two distinct approaches to improve battery degradation modeling and data management. The first, BattVAE-GP, uses a hybrid physics-probabilistic learning framework to create a computationally e…
-
New transfer learning method enhances AI for lithium-ion battery state estimation
Researchers have developed a transfer learning framework for physics-informed neural networks (PINNs) to improve state estimation in lithium-ion batteries. This approach addresses the challenge of training PINNs from sc…