Results 111 to 120 of about 257,403 (265)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
An Attempt of Analysis of Two Mongolian Manuscripts about Prince Norsan
The article considers two Mongolian manuscripts under the same heading “Urida bolson üges-ün tuuli / čikin-ü čimeg neretü bodisadu qaγan Norsan kiged / ökin tngri Yidbrogma-yin qarilčan ögülegsen-e anu sayin bolumui” (“The story is about what had ...
S. Mirzaeva
doaj
'Always the foremost argive champion'? The representation of Neoptolemus in Quintus of Smyrna's posthomerica [PDF]
Neoptolemus rather seldom figures in Ancient Greek literature. The Posthomerica of Quintus of Smyrna is one of the scarce examples in which the son of Achilles is staged as a hero on the battlefield.
Scheijnen, Tine
core
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
Natalia Voskresenskaya +1 more
openaire +2 more sources
The civilizing of Ea-Enkidu : an unusual tablet of the Babylonian Gilgameš epic [PDF]
George, Andrew
core +1 more source

