Results 251 to 260 of about 711,163 (355)

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Pale Moon [PDF]

open access: yesRed Cedar Review, 2008
openaire   +1 more source

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

A strategy to identify biliary atresia efficiently: A perspective from a Texas center. [PDF]

open access: yesWorld J Pediatr Surg
Harpavat S   +5 more
europepmc   +1 more source

Single Cell RNA Transcriptomics of Mantle Cell Lymphoma Reveals the Presence of Treatment‐Resistant Subclones at the Time of Diagnosis

open access: yesAmerican Journal of Hematology, EarlyView.
ABSTRACT Mantle cell lymphoma (MCL) is a B‐cell malignancy with a chronically relapsing clinical course and pronounced genetic heterogeneity. To investigate the clonal dynamics underlying early disease relapse, we performed single‐cell RNA sequencing of paired tumor samples collected at diagnosis and at first relapse. Inference of copy number variants (
Dmitry Manakov   +14 more
wiley   +1 more source

Home - About - Disclaimer - Privacy