Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures. [PDF]
Ghosh S, Dan S, Tarafder P.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Multiscale Modeling and Characterization of Graphene Epoxy Nanocomposite. [PDF]
Ekeowa C, Muthu SDJ.
europepmc +1 more source
Liquid Bismuth Catalyst Enables High‐CO‐Selectivity in CO2 Hydrogenation
This work introduces a dynamic liquid bismuth catalyst for efficient CO2‐to‐syngas conversion. Stabilized molten Bi nanodroplets on a defective VOx support enable a reversible Bi3+/Bi0 redox cycle at moderate temperatures. Mechanistic insights reveal that Ni‐Bi dual sites synergistically activate H2 and cleave CO2, leading to high CO selectivity ...
Xinxin Lu +6 more
wiley +1 more source
Multiscale Modeling of Vinyl-Addition Polynorbornenes: The Effect of Stereochemistry. [PDF]
Shahidi N +3 more
europepmc +1 more source
Haplotype‐Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine
This study presents a haplotype‐resolved 3D genomic landscape of grapevine, revealing that structural variations (SVs) are closely associated with phased topologically associating domain (TAD) boundary transitions. These rearrangements coordinate with allele‐specific DNA methylation (ASM) and allele‐biased gene expression (ASE) to shape key agronomic ...
Yanling Peng +18 more
wiley +1 more source
From protein structure to an optimized chromatographic capture step using multiscale modeling. [PDF]
Keulen D +7 more
europepmc +1 more source
Ultrastrong TEMPO‐Oxidized Densified Bamboo via Interface Decoupling and Hierarchical Toughening
This study develops TEMPO‐oxidized densified bamboo that achieves ultrahigh strength and toughness by decoupling rigid hydrogen bonds into reversible van der Waals interactions. TEMPO oxidation reorganizes the cellulose hydrogen‐bonding network, facilitating energy dissipation via reversible interactions, thereby establishing a general strategy to ...
Ziyu Ba +5 more
wiley +1 more source
Multiscale modeling shows how 2'-deoxy-ATP rescues ventricular function in heart failure. [PDF]
Teitgen AE +9 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

