Results 61 to 70 of about 222,373 (310)

GMT-09-script-profiles-KKT-south

open access: yes, 2019
GMT-09-script-profiles-KKT ...
Polina Lemenkova (5855411)
core   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

GMT-18-script-surface-grav-KKT

open access: yes, 2019
GMT-18-script-surface-grav ...
Polina Lemenkova (5855411)
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced 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   +8 more
wiley   +1 more source

GMT-04-script-JD-geoid-World

open access: yes, 2019
GMT-04-script-JD-geoid ...
Polina Lemenkova (5855411)
core   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

open access: yesAdvanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei   +7 more
wiley   +1 more source

Ground moving target-detection and focusing imaging under strong noise background

open access: yesThe Journal of Engineering, 2019
This study proposes a detection algorithm for a three-channel SAR system with weak ground moving target (GMT)-detection and focusing imaging under strong noise background.
Yang Zhou   +4 more
doaj   +1 more source

GMT-15-script-JB-profiles-MT

open access: yes, 2019
GMT-15-script-JB-profiles ...
Polina Lemenkova (5855411)
core   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

GMT-03-script-JB-bathy-KKT

open access: yes, 2019
GMT-03-script-JB-bathy ...
Polina Lemenkova (5855411)
core   +1 more source

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