Results 111 to 120 of about 193,878 (312)
2 Jihad Goes to Court: The Invocation of Islamic Idioms in Terrorism Prosecutions [PDF]
, 2023 Nicole Nguyen
openalex +1 more source
Advanced Energy Materials, EarlyView.Selective Mg doping in O3‐layered NaNi0.2Fe0.4Mn0.4O2 unlocks fast Na⁺ transport, stable anionic redox, and structural resilience. At 5% substitution, the cathode delivers improved capacity retention and high‐rate performance, while suppressing oxygen loss.
Akanksha Joshi +11 more
wiley +1 more source
Origin of Optimal Composition and Density for Li‐Ion Diffusion in Amorphous Li–P–S Electrolytes
Advanced Energy Materials, EarlyView.AI‐driven simulations reveal that Li–S4 coordination and pore evolution govern short‐range Li dynamics and thus ion transport in Li2S–P2S5 glasses. This unified framework explains the optimal conductivity near Li3PS4 and 1.8 g/cm³ and clarifies why excess free volume suppresses diffusion, offering design principles for high‐performance amorphous solid ...
Chihun Kim, Hyun‐Jae Lee, Byungju Lee
wiley +1 more source
Historical Accuracy, Racism, Courtney Milan, and The Duke Who Didn’t Conform to Genre Norms
Journal of Popular Romance Studies, 2022 This essay seeks to demonstrate that Courtney Milan’s The Duke Who Didn’t (2020) is a “novel of ideas” which challenges readers to examine the concept of “historical accuracy” and the racism that may be perpetuated by its invocation.
Laura Vivanco
doaj
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Repetition and difference : poetic invocations of nature in visual art [PDF]
, 2023 MT MacDermott
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.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