Results 291 to 300 of about 4,422,072 (371)
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Synthetic-bioinformatic natural product-inspired peptides.
Nelson S, Parkinson EI.
europepmc +1 more source
Infrared spectroscopic characterization of sesamin, a dietary lignan natural product. [PDF]
Jackson SW+5 more
europepmc +1 more source
Digital Methods for the Fatigue Assessment of Engineering Steels
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener+7 more
wiley +1 more source
Natural Product-Inspired Dopamine Receptor Ligands. [PDF]
Dorogan M, Namballa HK, Harding WW.
europepmc +1 more source
Integrity constraints enforce consistency and completeness on data. The article discusses a newly developed validator for checking integrity constraints in Shapes Constraint Language (SHACL) through reduction to SPARQL Protocol and RDF Query Language (SPARQL) queries. It can be used with systems for ontology‐based database access.
Özgür L. Özçep+5 more
wiley +1 more source
Targeted sampling of natural product space to identify bioactive natural product-like polyketide macrolides. [PDF]
Wilson DM+7 more
europepmc +1 more source
Multilayer ferrite inductor prototypes are fabricated by cofiring metallized tapes of NiCuZn ferrite and glass‐ceramic composite. Prerequisites for a predictive component simulation are discussed. An automated data‐pipeline stores and semantically links the experimental data acquired in the study according to a domain ontology.
Björn Mieller+8 more
wiley +1 more source
Unifying principles for the design and evaluation of natural product-inspired compound collections. [PDF]
Bro FS, Laraia L.
europepmc +1 more source