Results 221 to 230 of about 3,277,431 (296)

Investigating the Relationship Between Physical Properties and Spatial Irregularities at Coronal Hole Boundaries. [PDF]

Sol Phys
Ngampoopun N, Long DM, Green LM, Yardley SL, James AW, Mason EI, Heinemann SG, Uritsky VM.   +7 more
europepmc   +1 more source

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

Advanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil, Edward D. McCarthy, Parvez Alam   +2 more
wiley   +1 more source

<i>mappestRisk</i>: an R package for modelling and mapping risk of crop pest development based on their thermal biology. [PDF]

PeerJ
San Segundo Molina D, Barbosa AM, Pérez-Luque AJ, Rodríguez Sánchez F.   +3 more
europepmc   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Advanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Wang   +3 more
wiley   +1 more source

Microstructural Control, Property Trade-Offs and Emerging Design Strategies in Conventional Aluminum Alloys. [PDF]

Materials (Basel)
Zhang S, Li B, Wang Z, Han J, Shi Q.
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Large Pigment Epithelial Detachments Associated With Type 1 Macular Neovascularization: Do Swept-Source OCT Angiography Devices Detect the Same Thing? [PDF]

Transl Vis Sci Technol
El Majdoubi El Idrissi K, Pastore MR, Mehanna CJ, Miere A, Souied EH.   +4 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Synergistic Grain Refinement and Insulating Phase Formation via Zr⁴⁺ Doping for Low-Loss Colossal Permittivity in (In,Nb) Codoped TiO₂ Ceramics. [PDF]

ACS Omega
Xu P, Qiu X, Sun B, Sun L, Cao E, Hao W.
europepmc   +1 more source