Results 141 to 150 of about 3,194,220 (288)
Advanced Science, EarlyView.An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Annual Report 1990 of the Aerospace Electronics and Systems Division
, 1991 The document details the progress of R b D activities13; in Aerospace Electronics and Systems Division for calender13; year ...
Aerospace Electronics amp; Systems Division, --
core
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced 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
Deep learning enabled intelligent robotic system for aeroengine blade surface inspection. [PDF]
Sci RepIqbal E +5 more
europepmc +1 more source
Real‐Time Ferroelectric Domain Wall Dynamics During Electric Poling and Depoling
Advanced Science, EarlyView.Real‐time visualization of domain wall dynamics during alternating‐current poling, direct‐current poling, and electrical depoling in relaxor‐PT ferroelectric single crystals reveals distinct field‐dependent pathways and strong path dependence. Instant polarized light microscopy uncovers reversible domain wall nucleation, motion, and reconfiguration ...
Ziqi Wang +12 more
wiley +1 more source
High-Performance Lightweight Alloy Materials and Their Advanced Forming Technologies. [PDF]
Materials (Basel)Tong X.
europepmc +1 more source
Advanced Science, EarlyView.To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Mode-Dependent Strain-Rate Sensitivity of Filled Polymer Yield Under Shear and Uniaxial Deformation. [PDF]
Polymers (Basel)Sun Y +6 more
europepmc +1 more source
Using network science to disentangle supply networks: a case study in aerospace industry
, 2014 Supply chains in the aerospace sector are becoming more complex than ever before, frequently causing delays on the production process. Complexity gave rise to the term “supply networks”, changing the way we view supply chains from a structural point ...
Wang, Yu
core
Functionalized Biomimetic Scaffolds for Human‐Derived Auditory Neural Circuit Construction
Advanced Science, EarlyView.In Vitro Auditory Circuit Model. ABSTRACT Damage to auditory circuits results in sensorineural hearing loss. However, the scarcity of human inner ear tissue significantly hinders the development of therapies to preserve auditory function, creating a critical need for reliable in vitro models.
Pan Feng +12 more
wiley +1 more source