Results 211 to 220 of about 372,053 (263)
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Review of Xylanases: Sources, Engineering and Biotechnological Use. [PDF]
Pavlova EY +12 more
europepmc +1 more source
Rational Function-Based Approach for Integrating Tableting Reduced-Order Models with Upstream Unit Operations: Lubricants and Glidants Case Study. [PDF]
Bachawala S, Nasilowski DT, Gonzalez M.
europepmc +1 more source
Engineering a yeast cell factory for high-level production of unnatural ginsenoside 3β-O-Glc-DM. [PDF]
Sun XY +6 more
europepmc +1 more source
Accessible biocatalyst development by rapid <i>in vitro</i> semi-rational engineering (RISE) of enzymes. [PDF]
Telek A +6 more
europepmc +1 more source
De novo design of insulated cis-regulatory elements based on deep learning-predicted fitness landscape. [PDF]
Wang H +7 more
europepmc +1 more source
Synthetic biology empowers development of traditional Chinese medicine. [PDF]
Li C.
europepmc +1 more source

