Results 111 to 120 of about 138,094 (282)
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
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
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
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Abstract We explored community‐based doulas' perspectives on the acceptability of using formal screening tools to address low rates of mental health screening, diagnosis, and treatment for perinatal anxiety and depression among Black women. Using thematic analysis, we analyzed interview data from 30 community‐based doulas who support Black families ...
Tamara Nelson +5 more
wiley +1 more source
ABSTRACT Following the Royal Commission into Aged Care Quality and Safety, the Australian Government set a target for no‐one under 65 years of age to be living in residential aged care (RAC) by 2025. The numbers of young people in residential aged care (YPIRAC) have significantly declined since the start of the targets.
Elroy Dearn +4 more
wiley +1 more source
Seasonal climate change profoundly affects radon release from uranium tailings beaches. This study evaluates radon migration in uranium tailings reservoirs by developing a non-isothermal radon migration model that incorporates freeze-thaw cycles.
Ning Zhou, Yongjun Ye, Ting Yu
doaj +1 more source
A Geostatistical Approach to Define Guidelines for Radon Prone Area Identification [PDF]
Radon is a natural radioactive gas known to be the main contributor to natural background radiation exposure and the major leading cause of lung cancer second to smoking.
Daniela de Bartolo +3 more
core
Lung maneuvers of large amplitudes for probing physiological alterations in mouse models of asthma
Lung maneuvers of small amplitudes, such as the ones performed in oscillometry, are the current gold standard to probe lung mechanics in animals, but they are insensitive to detect baseline physiological alterations in mouse models of asthma. Herein, lung maneuvers of different amplitudes were compared in two mouse models of asthma.
Magali Boucher +4 more
wiley +1 more source

