Results 61 to 70 of about 19,277,069 (274)
This study develops a multiscale modeling framework based on the crystal plasticity finite element (CPFE) method to analyze structure–property-performance relationships of functionally graded porous (FGP) 316L stainless steel fabricated via laser powder ...
Sina Jabarzadeh +2 more
doaj +1 more source
Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni +4 more
wiley +1 more source
Over the past decades, the prevalence of machine learning (ML) methods has made the development of ML-based constitutive models for granular materials undoubtedly a popular subject.
Mengqi Wang +3 more
doaj +1 more source
USe3 is introduced as an actinide van der Waals semiconductor that mirrors the quasi‐one‐dimensional physics of transition‐metal trichalcogenides. Polarization‐resolved Raman spectroscopy on exfoliated flakes maps strong in‐plane phonon anisotropy and strain‐tunable mode shifts.
Aljoscha Söll +17 more
wiley +1 more source
TIME-CONSERVATIVE FINITE-VOLUME METHOD WITH LARGE-EDDY SIMULATION FOR COMPUTATIONAL AEROACOUSTICS [PDF]
This thesis presents a time-conservative finite-volume method based on a modern flow simulation technique developed by the author. Its applicability to technically relevant aeroacoustic applications is demonstrated.
AYBAY, ORHAN
core
Destress Blasting of Rock Mass: Multiscale Modelling and Simulation
In this paper, a multiscale modelling and simulation of destress blasting of rock mass is presented. The proposed and novel approach combines two separate 3D solutions: the first was obtained for the small-scale problem, face(s) blasting process, and the
Paweł Baranowski +7 more
doaj +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Multiscale Modeling for Mechanical Properties of Cancellous Bone Based on the Schwarz Surface
Microstructure and the mechanical properties of cancellous bone were modeled by multiscale finite element method in this paper. Microstructure of the cancellous bone determines its mechanical properties and a rational geometry modeling of the cancellous ...
Huang ZhiQiang +4 more
doaj +1 more source
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
There are multiporosity media in tight oil reservoirs after stimulated reservoir volume (SRV) fracturing. Moreover, multiscale flowing states exist throughout the development process.
Long Ren +7 more
doaj +1 more source

