Results 221 to 230 of about 37,322 (309)
Drag reduction and degradation by sodium alginate in turbulent flow. [PDF]
Cheng Z +8 more
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Investigation on drag reduction on rotating blade surfaces with microtextures. [PDF]
Zhu Q, Zhang C, Yu F, Xu Y.
europepmc +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Laser Ablating Biomimetic Periodic Array Fish Scale Surface for Drag Reduction. [PDF]
Chen D +9 more
europepmc +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Viscosity Reduction and Drag Reduction Performance Analysis of Bionic Excavator Buckets Based on Discrete Element Method. [PDF]
Liu G +5 more
europepmc +1 more source
Drag Reduction in Pipe Flow with Riblet.
OKAMOTO, Shiki +2 more
openaire +3 more sources
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Analysis of the Drag Reduction Performance and Rheological Properties of Drag-Reducing Additives. [PDF]
Chang A, Huang L, Wei S, Shao M.
europepmc +1 more source

