Results 71 to 80 of about 10,013 (265)
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Liquidity dynamics and risk premia in China's green bond market
This study investigates the liquidity dynamics and risk premiums in China's green bond market. Unlike previous studies relying on single indicators, a comprehensive illiquidity measure incorporating both liquidity level and liquidity risk dimensions is ...
Zijian Wu +3 more
doaj +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
Economic Barriers and Incentives in the Energy Transition: A Comparative Analysis of Policy Frameworks and Market Responses [PDF]
The shift to green energy is not merely a technological challenge but a multifaceted economic upheaval. In numerous countries, the process remains precarious, influenced by regional constraints, shifting political climates, and the need to balance ...
Mădălina Ana Burduja +1 more
doaj +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Background: Golf in urban regions such as Jabodetabek, Indonesia, is gaining wider appeal. Today’s players are increasingly influenced by practical service elements, including course layout, accessibility, green fee pricing, facility quality, and ...
Yanto Ramli +3 more
doaj +1 more source

