Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data. [PDF]
BioData MinCantor E +4 more
europepmc +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Predicting dichotomised outcomes from high-dimensional data in biomedicine. [PDF]
J Appl StatRauschenberger A, Glaab E.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data. [PDF]
BiometricsLi W, Chang C, Kundu S, Long Q.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.The low cycle fatigue life of additive manufactured HAYNES® 282® superalloy was investigated for conventional and high‐productivity processing: samples of the former lasted 1400–1700 cycles, while samples of the latter failed at ~ 1200 cycles, at 760 °C and 1% strain.
Abdul Shaafi Shaikh +3 more
wiley +1 more source
Penalized Bayesian forward continuation ratio model with application to high-dimensional data with discrete survival outcomes. [PDF]
PLoS OneSeffernick AE, Archer KJ.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This article demonstrates the successful qualification of a copper–tungsten composite for laser powder bed fusion. The resulting components exhibited high density, high thermal conductivity, and reduced thermal expansion. Heat sinks with complex geometries were successfully manufactured, clearly showcasing the material's potential for additive ...
Simon Rauh +6 more
wiley +1 more source
Machine learning methods for propensity and disease risk score estimation in high-dimensional data: a plasmode simulation and real-world data cohort analysis. [PDF]
Front PharmacolGuo Y +5 more
europepmc +1 more source
Duplex Stainless Steel Laser‐Surface Textured: Stability in Brine Solution
Advanced Engineering Materials, EarlyView.Controlled laser‐surface treatment (LST) of duplex DSS2205 steel is performed to increase its stability in brine solution under cyclic electrochemical assays. The superior protection with respect to flat and smooth panels is attributed to the presence of FeCr2O4 as the main protective oxide layer in the LST surface, after corrosion tests. The stability
Mohammad Rezayat +5 more
wiley +1 more source