Results 191 to 200 of about 465,915 (347)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced 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

Lumps in level truncated open string field theory [PDF]

open access: green, 2000
Robert de Mello Koch, J. P. Rodrigues
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced 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

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

open access: yesAdvanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu   +7 more
wiley   +1 more source

Custom Shape Formation in Continuum Robots Using Compliant Bistable Segments for Medical Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This article describes the integration of compliant bi‐stability in continuum robots. This integration leads to two variants of compliant bistable mechanism (CBM) integrated continuum robot segments, extending and locking. Results show that when used together, these CBM‐integrated segments allow the continuum robot to form custom shapes.
Muhammad Umer Khan Niazi   +4 more
wiley   +1 more source

The Impact of Karyotype on Congenital Heart Diseases in Turner Syndrome: A Systematic Review and Meta‐Analysis

open access: yesAmerican Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT It is evident that Turner syndrome (TS) impacts almost all developmental stages of the fetal heart with congenital heart disease (CHD) being seen in 23%–50% of individuals. Although the spectrum of CHDs in TS is well‐established, with left‐sided lesions predominating, the influence of specific karyotypes on the prevalence and types of CHDs ...
Francisco Álvarez‐Nava   +5 more
wiley   +1 more source

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