Results 151 to 160 of about 848,049 (294)

From processing text to counterfactual steel design: a knowledge-graph-organized and reliability-aware machine learning framework

Materials & Design
Reliable steel design requires property models that transfer beyond random data splits to unseen grades, compositions and processing routes. Here, we develop a knowledge-graph-organized, mechanism-aware and risk-controlled framework for steel composition-
Chengrong Xie, Dong Chen, Weibo Zhao, Zhao Zhang, Yunjie Li, Zhenlei Li, Jian Kang, Guo Yuan   +7 more
doaj   +1 more source

Nonreciprocal Swarmalators With Reconfigurable and Controllable Formations for Robot Collectives

Advanced Robotics Research, EarlyView.
Nonreciprocal swarmalator interactions are enabled through control barrier functions to transform self‐organizing robot collectives into reconfigurable, constraint‐aware systems. Complex two‐ and three‐dimensional shapes, continuous morphing, obstacle‐aware navigation, collective splitting, and object transport emerge from modulating agent‐level ...
Kush Patel, Xinyue Xu, Wei Xiao, Steven Ceron   +3 more
wiley   +1 more source

Robotic Assistants in the Operating Room: A Systematic Review of Vision‐Based Systems for Nonoperative Tasks

Advanced Robotics Research, EarlyView.
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo, Pietro Falco, Nicholas Raison, Christos Bergeles, Letizia Gionfrida   +4 more
wiley   +1 more source

Attomolar Detection of HIV‐1 With Label‐Free RCA‐rCRISPR on Smartphone

Advanced Science, EarlyView.
A new diagnostic strategy integrating rolling circle amplification (RCA) with a plasmid reporter–based ratiometric CRISPR (rCRISPR) system was developed to detect unfragmented HIV genomes with single‐digit attomolar sensitivity. The method quantifies targets using the plasmid relaxation ratio and employs a smartphone‐based mini‐gel device to enable ...
Noor Mohammad, Anastasiia Steksova, Yuyang Tang, Leyao Huang, Alireza Velayati, Shengwei Zhang, Aditi Dey Poonam, Sina Jamalzadegan, Matthew Breen, Hongjie Chen, Mahsa Bagi, Guochun Jiang, Qingshan Wei   +12 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Tunable Negative Thermal Expansion in Fe/Cr‐Substituted Nd2Co17 Compounds via Magnetoelastic Coupling

Advanced Science, EarlyView.
This study achieves anisotropic thermal expansion tuning in Nd2(Co1‐xFex)17‐yCry compounds via a magnetoelastic strategy. Variable‐temperature synchrotron X‐ray diffraction reveals that increased Fe content induces switchable lattice responses. Compositional control reduces the volume expansion coefficient αV by 20% (x═0.7) and modulates TC (442–625 K),
Jiayuan Li, Chenfei Qv, Haoran Tu, Qinfen Gu, Wayne D. Hutchison, Stewart J. Campbell, Zhenxiang Cheng, Wenquan Wang, Jianli Wang   +8 more
wiley   +1 more source

Income Splitting for Two-Parent Families: Who Gains, Who Doesn't, and at What Cost? [PDF]

In the 2011 Canadian federal election, the Conservative Party pledged to allow couples with minor children to split up to $50,000 of their incomes each year for tax purposes.
Jonathan Rhys Kesselman, Alexandre Laurin   +1 more
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Forbidden Minor Characterization of 3-Fold-3-Splitting of Binary Gammoid [PDF]

The r-fold-n-point-splitting operation is an important operation in Graph Theory defined by Slater [15]. Later, Ghafari [6] extended 3-fold-n-point-splitting operation in binary matroids and obtained the result for Eulerian matroids whose 3-fold is ...
Solanki, Shital Dilip, Dhotre, S. B.
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source