Results 201 to 210 of about 21,702 (260)
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.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
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Advanced Intelligent Discovery, EarlyView.Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Decay of Wood by the Dacrymycetales [PDF]
Mycologia, 1983 Forty-one strains representing sixteen species in the Dacrymycetales were tested for their abilities to decay wood using the soil block test. Dacrymyces stillatus, D. capitatus, D. dictyosporus, Dacryopinax spathularia, Cerinomyces ceraceus and Calocera cornea and C. lutea caused considerable decay of wood. Dacrymyces palmatus, D. minor, D.
Keith A Seifert
exaly +2 more sources
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Influence of a nitrogen supplement on the growth of wood decay fungi and decay of wood
International Biodeterioration & Biodegradation, 2005Bioremediation processes require cheap and effective nutrient sources which contain significant amounts of nitrogen, e.g. corn steep liquor (CSL). In order to elucidate fungal copper tolerance in a nitrogen-rich environment, experiments were performed on a nutrient medium and with wood.
Miha Humar, Franc Pohleven
openaire +1 more source
Wood decay under the microscope
Fungal Biology Reviews, 2007Abstract Many aspects of the interactions between host wood structure and fungal activity can be revealed by high resolution light microscopy, and this technique has provided much of the information discussed here. A wide range of different types of decay can result from permutations of host species, fungal species and conditions within wood.
Francis W M R Schwarze
exaly +3 more sources