Results 101 to 110 of about 2,404,174 (296)
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
[North Texas State Teachers College Commencement Exercise]
Commencement program for the 1933 May Commencement Exercise for the North Texas State Teachers College. Printed on the cover are the words, " North Texas State Teachers College. Denton, Texas. Commencement Exercise. Wednesday Morning.
North Texas State Teachers College
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
Commencement program for the summer 1948 graduating class of North Texas State Teachers College, held in the Main Auditorium on Friday, August 27, 1948.
North Texas State Teachers College
core
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
[North Texas State Teachers College Commencement Invitation]
Commencement invitation for the 1946 graduating class of North Texas State Teachers College. The invitation is printed in black ink on card stock paper and states: "The Faculty and Graduating Class of the North Texas State Teachers College invites you to
North Texas State Teachers College
core
Exploring collaborative mentoring relationships between teachers and student teachers [PDF]
Located within a broader initiative of teacher education reform in Scotland, this study explores teacher and student teacher mentoring relationships in the classroom. A preliminary study to investigate these relationships was conducted involving a focus
Aderibigbe, Semiyu Adejare
core
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source

