Results 121 to 130 of about 2,297,129 (216)

Convergent algorithms for protein structural alignment. [PDF]

BMC Bioinformatics, 2007
Martínez L, Andreani R, Martínez JM.
europepmc   +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

Loop Quantum Gravity. [PDF]

Living Rev Relativ, 2008
Rovelli C.
europepmc   +1 more source

Polynomiality of the structure coefficients of double-class algebras

, 2014
On étudie dans cette thèse les coefficients de structure et particulièrement leurs dépendancesen n dans le cadre d’une suite des algèbres de doubles-classes.
Tout, Omar
core  

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, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Machine learning prediction of the unconfined compressive strength of controlled low strength material using fly ash and pond ash. [PDF]

Sci Rep
Dev KL, Kumar DR, Wipulanusat W.
europepmc   +1 more source

Discrete Approaches to Quantum Gravity in Four Dimensions. [PDF]

Living Rev Relativ, 1998
Loll R.
europepmc   +1 more source

An interactive polynomial approximation algorithm [PDF]

The Computer Journal, 1976
Karl-Heinz Mohn, Roger V. Roman
openaire   +2 more sources

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Linking QKD Testbeds across Europe. [PDF]

Entropy (Basel)
Brauer M, Vicente RJ, Buruaga JS, Méndez RB, Braun RP, Geitz M, Rydlichkowski P, Brunner HH, Fung F, Peev M, Pastor A, Lopez DR, Martin V, Brito JP.   +13 more
europepmc   +1 more source