Results 91 to 100 of about 117,976 (311)
What Do Large Language Models Know About Materials?
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
Towards Collaboratively Mapped Multi-View Mobile Augmented Reality [PDF]
Whilst Augmented Reality (AR) offers the possibility of exciting new interaction modalities for mobile users, the prospect of providing a collaborative multi-view, in which multiple viewers may view the same shared AR workspace from multiple perspectives,
Čopič Pucihar, Klen, Coulton, Paul
core
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
Mobile Phone Based Augmented Reality [PDF]
Although the field of mixed reality has grown significantly over the last decade, there have been few published books about augmented reality, particularly the interface design aspects.
Ollila, Mark, +2 more
core
Exploring flow fields in augmented reality environments [PDF]
S.36-38Specifically during the analysis and optimization stage within the product development process, e.g. in crash tests, structural optimization or flow simulations, VR techniques contributed to a minimum number of physical models in use and enhanced ...
Stork, A., Graf, Holger, Benölken, P.
core
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 +3 more
wiley +1 more source
In-situ refinement techniques for outdoor geo-referenced models using mobile AR [PDF]
We present a set of techniques to perform in-situ refinements on simple geo-referenced models using mobile augmented reality systems. The refinements include affine transformations to the model and surface feature additions, including high detail concave
Bruce H. Thomas +3 more
core +1 more source
Augmented Reality for Education [PDF]
Reimagining our future engagement with learners through an augmented reality (AR) lens offers a range of possibilities, on a continuum from rigid materials, created with generic learning outcomes, to learner-centred, personalised and emancipatory practice.
Holley, Debbie, Hobbs, M.
openaire +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
IntroductionVirtual Reality (VR) applications often require two-handed interactions, which can pose accessibility challenges for users with missing limbs or limited mobility in the arms or hands.
Judith Hartfill +4 more
doaj +1 more source

