Results 111 to 120 of about 7,006,649 (251)
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
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
Stable and tempered stable distributions and processes: an overview toward trajectory simulation
25 pages, 6 ...
openaire +3 more sources
Self-Decomposable Laws Associated with General Tempered Stable (GTS) Distribution and their Simulation Applications [PDF]
The paper describes the self-decomposable distribution and the background driving L\'evy process (BDLP) associated with the Generalized Tempered Stable (GTS) distribution.
Nzokem, A. H.
core
A Monolithic Janus Hydrogel Pressure Sensor for Wearable Motion and Physiological Monitoring
This work reports a monolithic Janus hydrogel pressure sensor featuring integrated conductive PEDOT and insulating PEGDA layers. The fabricated device achieves a rapid response time, a wide operating range, and good cyclic durability. The sensor demonstrates robust performance in tracking dynamic human joint motions, offering a scalable strategy for ...
Syed Atif Ali +7 more
wiley +1 more source
Grain Boundary Structure Ordering via Electroshock Treatment Enhances Strength‐Ductility Synergy
Electroshock treatment triggers atomic rearrangement, transforming disordered grain boundaries into ordered states without inducing recrystallization. This grain boundary ordering effectively relieves strain concentration and strengthens boundaries, enabling a simultaneous improvement in both strength and ductility.
Jiancheng Chen +6 more
wiley +1 more source
The Effect of Cu-Rich Nano-Precipitation on Hydrogen Embrittlement Performance in a Cu-Bearing Ultra-Low Carbon Steel. [PDF]
Cui H +6 more
europepmc +1 more source
Exact Simulation of Finite Variation Tempered Stable Ornstein-Uhlenbeck Processes
MI: Global COE Program Education-and-Research Hub for Mathematics-for-IndustryグローバルCOEプログラム「マス・フォア・インダストリ教育研究拠点」We develop an exact yet simple simulation algorithm for a wide class of Ornstein-Uhlenbeck processes with a tempered stable stationary ...
Masuda, Hiroki +3 more
core
Magnetoelectric BaTiO3/CoFe2O4 Thin‐Film Meshes for Neuronal Differentiation
We engineer an epitaxial BaTiO3/CoFe2O4 magnetoelectric mesh that overcomes boundary‐induced mechanical clamping. Progressively reducing the mechanical constraint, from substrate‐clamped to PDMS‐transferred and ultimately freestanding, enhances magnetic‐to‐electric transduction and strengthens magnetoelectric coupling.
Mathieu Mirjolet +13 more
wiley +1 more source

