Results 191 to 200 of about 8,425,275 (293)
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
Invertebrates at the Land-Sea Interface in a Climate Change World: Heatwaves, Floods, Fire and Ice. [PDF]
Byrne M, Ross PM.
europepmc +1 more source
Forest fire history in Tresdalen
Fire is one of the most important natural disturbance agents in the boreal forest. Therefore, knowledge about forest fires and its natural occurrences is important for understanding fires role in ecological processes, and subsequently how it may influence decisions regarding forest management.
openaire +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Health, safety training, and exposure reduction practices among U. S. fire investigators: a cross-sectional study. [PDF]
Caban-Martinez AJ +8 more
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Comparative Flammability and SEM-EDS Characterization of Contemporary, Aged and Charred Oak Wood from Historic Timber Structures. [PDF]
Jurecki A +3 more
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Previous prescribed burns saved thousands of ancient sequoias during historically unprecedented wildfires. [PDF]
Dixon DJ +7 more
europepmc +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source

