Results 161 to 170 of about 6,319,999 (278)

Genome-Wide Identification and Structural Characterization of Secondary Metabolite Biosynthetic Gene Clusters in African Baobab (Adansonia digitata). [PDF]

Chem Biodivers
Elshikh AA, Kabbashi AS, Musa IM.
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

All-Optically Controlled Memristive Reservoir Computing Capable of Bipolar and Parallel Coding. [PDF]

Nat Commun
Hu L, Jiao D, Wang K, Cheng P, Wang J, Al-Madani H, Zhang L, Vasilakos AV, Chai Y, Ye Z, Zhuge F.   +10 more
europepmc   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Chloroplast Genome Sequence of Snap Bean (<i>Phaseolus vulgaris</i> L.) and Comparative Analyses with Other Legume Chloroplast Genomes. [PDF]

Int J Mol Sci
Liu Z, Wang J, Xu Z, Zhang H, She H, Qian W.   +5 more
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

Neural mechanisms of time-forward predictions for naturalistic auditory tone sequences. [PDF]

Nat Commun
Baumgarten TJ, Koenig L, Hardstone R, Flinker A, Devore S, Friedman D, Dugan P, Devinsky O, He BJ.   +8 more
europepmc   +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

Mitochondrial genome of <i>Scutiger boulengeri</i> (Anura, Megophryidae) reveals an exceptionally expanded non-coding region and its phylogenetic position within Megophryidae. [PDF]

Zookeys
Wang WT, Zhang FH, Wang R, Zhang XZ.
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