Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
On the Conservativeness of Robust Variance Estimators in Propensity Score Weighted Cox Models. [PDF]
Morita H +3 more
europepmc +1 more source
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin +12 more
wiley +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Hybrid CFD-DSMC Simulation of Ion Transport in Photoionization Mass Spectrometry: From Atmospheric Pressure to High Vacuum. [PDF]
Wen Z +10 more
europepmc +1 more source
Multiparameter Simulation for the Optimization of Ion Transmission Efficiency Through Mass Spectrometry Inlet Capillary. [PDF]
Wang D, Wang C, Li J, Yu J, Tang K.
europepmc +1 more source
Optimal parameters of roadway supports for water prevention based on the FFA algorithm. [PDF]
Xu C.
europepmc +1 more source
New frontiers in the p-hacking practices: assessing the effect of data peeking practice on type-I error rate through computational modeling. [PDF]
Freuli F, Noventa S, Lombardi L.
europepmc +1 more source
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This chapter shows simulation results of the optimization of the neural network ensemble with the genetic algorithm and PSO algorithm, as well as results for each of the type-1 and type-2 fuzzy integration and the optimization of these systems with GA and PSO.
Fernando Gaxiola +2 more
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This chapter presents numerical solutions of the initial boundary value problem for a continuously dislocated single crystal under plane shear deformation. To this end, the in-house finite element simulation code explained in the preview chapter is adopted.
Christian B. Silbermann +2 more
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