Advanced Engineering Materials, EarlyView.This study investigates laser‐based oxide removal of Cu inserts in oxygen‐free conditions and examines long‐term oxidation kinetics and surface chemistry under different atmospheres via X‐ray photoelectron spectroscopy. Al–Cu compound casting with differently oxidized surfaces is performed, and intermetallic phase formation, morphology, and thermal ...
Timon Steinhoff +9 more
wiley +1 more source
Individualized structure-function coupling reveals behavioral signatures in the adolescent brain. [PDF]
Imaging Neurosci (Camb)Jafrasteh B +5 more
europepmc +1 more source
Identifying mutational signatures in individual cancer tumors using unsupervised machine learning
Bahar Mahdavi
openalex +1 more source
Predicting Suicidal Behaviors in Individuals With Diabetes Using Machine Learning Techniques [PDF]
Mohammed A. Mamun +6 more
openalex +1 more source
Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys
Advanced Engineering Materials, EarlyView.This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa +9 more
wiley +1 more source
Identifying neuroimaging biomarkers for anxiety in emerging adults using machine learning and functional near-infrared spectroscopy during resting-state. [PDF]
Front PsychiatryHuang S, Yu B, Liang L.
europepmc +1 more source
Understanding and Quantifying Confidence in Individual Machine Learning Predictions.
New developments in the fields of Machine Learning and Artificial Intelligence bring huge amounts of novel options and possibilities for industrial applications, for example, semiconductor fabrication. The latest experiences show that domain experts can profit a lot from the support of and insights generated by Machine Learning.
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat +7 more
wiley +1 more source
The dual effects of individual and contextual factors on adolescent problematic internet use: Machine learning approaches and SHAP explanations. [PDF]
J Behav AddictHuang K +6 more
europepmc +1 more source