Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...
Validated by early deployments at leading semiconductor companies, Vinci’s physics-driven AI software operates up to 1000x ...
A new study published in AI Materials presents a comprehensive multi-scale computational framework capable of predicting the ...
A research team led by professor Olivia Merkel, Chair of Drug Delivery at LMU and co-spokesperson of the Cluster for Nucleic ...
Researchers at Universidad Carlos III de Madrid (UC3M) have developed a set of innovative methods and algorithms that improve ...
This paper revisits the problem of power analysis and sample size calculations in randomised experiments.
Research shows near-surface-mounted reinforcement restores shear capacity in concrete beams with vertical openings, improving ...
A team at Shanghai Jiao Tong University has introduced a research platform to explore whether quantum algorithms can ...
The Ph.D. program at Gallaudet University prepares scholars and practitioners to lead in the design, development, and ...
This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...
Researchers developed a genetically encoded fluorescence lifetime indicator that enables quantitative imaging of ATP levels ...
While experimental screening of polymer libraries is time-consuming and costly, purely computational approaches have so far fallen short due to limited data availability and high computational demands ...