From Experiments to AI: A Comparative Review of Machine Learning Approaches for Predicting Nanofluid Thermophysical Properties. [PDF]
Nanomaterials (Basel)Al Jadidi S +4 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Multi-response optimization and machine learning-based prediction of straight-groove warm incremental sheet forming of AZ31 magnesium alloy. [PDF]
Sci RepKhot AA +4 more
europepmc +1 more source
Amuc_1473 Links Gut Microbes to Skeletal Homeostasis and Counteracts Multifactorial Osteoporosis
Advanced Science, EarlyView.Amuc_1473, a previously uncharacterized protein enriched in Akkermansia muciniphila‐derived extracellular vesicles, is identified as a gut–bone messenger that promotes osteogenesis and inhibits osteoclastogenesis by engaging transcriptional and translational regulators in bone cells.
Shan‐Shan Rao +28 more
wiley +1 more source
Predicting wire electrical discharge machined surface roughness of C355/silicon nitride/graphene hybrid nanocomposites using simulation, statistical and machine learning techniques. [PDF]
Sci RepVellingiri S +7 more
europepmc +1 more source
Advanced Science, EarlyView.ARC3 levels are controlled by cytosolic and chloroplast proteolytic systems. PUB52 mediates ARC3 precursor ubiquitination and degradation in the cytosol, while CLPC1 promotes ARC3 degradation in chloroplasts, where ARC2 protects ARC3 from excessive breakdown. Disrupting these components causes chloroplast division defects, placing them upstream of ARC3.
Yang Yuan +5 more
wiley +1 more source
Design of PMMA-Cotton Composite Textile with Tunable Properties via a Physics-Aware Bidirectional Neural Network Framework. [PDF]
Materials (Basel)Krishnamurthy RJ, Szypula MM, Milani AS.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Thermal and solutal analysis of oxytactic microbes in bioconvection slip flow of trihybrid nanofluid with activation energy using artificial neural network. [PDF]
Discov NanoAbbas M +5 more
europepmc +1 more source
Endogenous Engineering Reprograms Extracellular Vesicles for Enhanced Therapeutic Function
Advanced Science, EarlyView.This review explains how Extracellular vesicles‐producing cells can be endogenously engineered to load therapeutic proteins and nucleic acids. We summarize physiological and genetic strategies that harness native sorting pathways for selective cargo loading.
Jinghui Wang +10 more
wiley +1 more source