Results 91 to 100 of about 1,793,420 (289)

Density and current profiles in Uq(A2(1)) zero range process

open access: yesNuclear Physics B, 2017
The stochastic R matrix for Uq(An(1)) introduced recently gives rise to an integrable zero range process of n classes of particles in one dimension.
A. Kuniba, V.V. Mangazeev
doaj   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

A Study of Rocket Exhaust Particles [PDF]

open access: yes, 1996
The exhaust -plumes generated by rocket motors are of significant military importance for missile detection, recognition and communication due to their electromagnetic emission and propagation properties. The plume is a high temperature, high velocity
Dennis, C., Dennis, C. W.
core  

Barrow entropy effects on thermodynamics and quasi-periodic oscillations around a Frolov black hole

open access: yesNuclear Physics B
This study investigates the geometric structure, particle dynamics, and thermal properties of the non-rotating Frolov black hole. We analyze the black hole geometry and derive the effective potential governing the motion of the test particle, showing the
Abdelmalek Bouzenada   +6 more
doaj   +1 more source

Resonance supression of high Q particle accelerometer

open access: yes, 2022
The noise floor of high-performance accelerometers is conditioned by the vacuum pressure inside the sensor package. However, less than atmospheric pressure introduces a lower level of damping to the sensor's mechanical structure, resulting in a large static displacement at resonance.
openaire   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo   +3 more
wiley   +1 more source

Characterization of Aluminized Layers on Inconel‐738 Alloy: Microstructure, Modeling of Aluminizing Kinetics, and Thermal Behavior

open access: yesAdvanced Engineering Materials, EarlyView.
This study explored how effective nickel aluminide coatings are obtained in providing oxidation resistance applied to the Inconel 738 alloy, modeling with diffusion models. In the present study, kinetics and thermal behavior of the Inconel 738 alloy were studied by the low‐temperature thermoreactive aluminizing process, which was carried out at 625°C ...
Gozde Celebi Efe   +4 more
wiley   +1 more source

q-Functional Field Theory for particles with exotic statistics

open access: yes, 2007
In the paper we give consecutive description of functional methods of quantum field theory for systems of interacting q-particles. These particles obey exotic statistics and appear in many problems of condensed matter physics, magnetism and quantum ...
Ilinski Kalinin And
core  

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

open access: yesAdvanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo   +3 more
wiley   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

open access: yesAdvanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell   +3 more
wiley   +1 more source

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