Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion
Advanced Sustainable Systems, EarlyView.This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar +2 more
wiley +1 more source
Life history is a key driver of temporal fluctuations in tropical tree abundances. [PDF]
Proc Natl Acad Sci U S AJops K, Dalling JW, O'Dwyer JP.
europepmc +1 more source
An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques
Advanced Theory and Simulations, EarlyView.Ultra‐pure silicon single‐crystals can be grown by the Floating Zone (FZ) method. This study investigates intricate relationships between process stability measures and multiple growth parameters by applying data mining techniques on FZ simulations. Regression Trees identified multivariate relationships that help explaining complex interactions between
Lucas Vieira +3 more
wiley +1 more source
Influence of Explanatory Variable Distributions on the Behavior of the Impurity Measures Used in Classification Tree Learning. [PDF]
Entropy (Basel)Gajowniczek K, Dudziński M.
europepmc +1 more source
Advanced Theory and Simulations, EarlyView.Analytic morphing of wurtzite nanowire cross sections to arbitrary shapes yields numbers of nanowire atoms, of bonds between these and of nanowire interface bonds, plus the nanowire cross section area. The ratios of above variables help to interpret any spectroscopic nanowire data which depend on diameter and cross section shape, and can be applied to ...
Dirk König, Sean C. Smith
wiley +1 more source
Zethembe: a co-developed couples intervention for young heterosexual couples in informal settlements in South Africa. [PDF]
PLOS Glob Public HealthGibbs A +5 more
europepmc +1 more source
Crystal Structure Prediction of Cs–Te with Supervised Machine Learning
Advanced Theory and Simulations, EarlyView.High‐throughput density functional theory calculations combined with machine learning models are employed to predict stable Cs– Te binary crystals. By systematically evaluating various structural descriptors and learning algorithms, the superiority of models based on atomic coordination environments is revealed.
Holger‐Dietrich Saßnick +1 more
wiley +1 more source
Predicting clinical pathways of traumatic brain injuries (TBIs) through process mining. [PDF]
NPJ Digit MedEili MY, Rezaeenour J, Roozbahani MH.
europepmc +1 more source
Advanced Science, EarlyView.The present study constructs machine‐learning models to resolve developmental relationships among auditory performance, auditory cortical processing, and functional connectivity of the bilateral language network during the first year of restored hearing. The results demonstrate that asymmetric inter‐hemisphere communication contributes significantly to
Xue Zhao +6 more
wiley +1 more source
Squirrel: Reconstructing Semi-directed Phylogenetic Level-1 Networks from Four-Leaved Networks or Sequence Alignments. [PDF]
Mol Biol EvolHoltgrefe N +5 more
europepmc +1 more source