Results 151 to 160 of about 11,200,517 (250)

What Do Large Language Models Know About Materials?

Advanced 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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Correction: Modifying recombinant purple acid phosphatase using computational design. [PDF]

Eur Biophys J
Venkatramani A, Ali M, Predeina O, Molloy JC, Sormanni P, Hall EAH.   +5 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Il ruolo del design nella progettazione alberghiera

, 2014
l'autore è stato invitato a stendere un contributo sul ruolo del design nell'ambito della progettazione alberghiera, evidenziando le varie declinazioni della disciplina- design strategico, design dei servizi, design della comunicazione, interior design,
SCULLICA, FRANCESCO, dipartimento di design   +1 more
core  

A p53^R273H-selective bispecific T cell engager: Computational design and functional validation. [PDF]

Mol Ther Oncol
Huynh N, Thi Nguyen TM, Bui NT, Ho Nguyen TN, Tran DT, Nguyen HN, Nguyen CT.   +6 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Computational design of generalist cyclopropanases with stereodivergent selectivity. [PDF]

Nat Commun
Shen Z, Siriboe MG, Ren X, Dayananda T, Jenkins JL, Khare SD, Fasan R.   +6 more
europepmc   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Beam damage and dynamics modelled with equivariant neural networks [PDF]

BIO Web of Conferences
Valencia Cuauhtémoc Nuñez, Nissen Mathias Stokkebye, Giese Patrick, Helveg Stig, Hansen Thomas Willum, Schiøtz Jakob   +5 more
doaj   +1 more source

Computational Design of RNA Aptamers Targeting Oncogenic miR-10b Using T‑SELEX and Molecular Dynamics-Based Stability Metrics. [PDF]

ACS Omega
Mokgopa KP, Lobb KA, Tshiwawa T.
europepmc   +1 more source