Results 121 to 130 of about 8,119,426 (288)
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Investigating the Challenges and Prospects of Construction Models for Dynamic Knowledge Graphs
Recently, Dynamic knowledge graphs (DKGs) have been considered the foundation stone for several powerful knowledge-aware applications. DKG has a great advancement over static knowledge graph with the ability to capture the dynamicity of knowledge.
Maha Farghaly +3 more
doaj +1 more source
Effects of Negative Sampling on Knowledge Graph Completion
Knowledge graph embedding concepts have become popular in recent years. The most common usage area of this concept is knowledge graph completion because ordinarily, knowledge graphs consist of a large amount of structured data, but they are not complete.
Betul Bayrak, BAYRAK, BETÜL
core +1 more source
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski +3 more
wiley +1 more source
Versatile guanosine‐quadruplex (GQ) hydrogels are developed as dynamic biomatrices for cell culture. These scaffolds are fabricated under mild aqueous conditions, present improved stability, tunable mechanical properties within physiological ranges; fibrillar, porous microstructure, ion conductivity, and cytocompatibility.
Neha Thakur +10 more
wiley +1 more source
A Miniaturized Autonomous Thermomagnetic Generator
Micro, autonomous and high power thermomagnetic generator operating between a heat dissipator and a processor. ABSTRACT Thermomagnetic generators (TMG) are promising devices for converting low‐grade waste heat into electricity. Self‐actuation using permanent magnets is the key to autonomy.
Morgan Almanza +11 more
wiley +1 more source
Endosomal Escape of siRNA Polyplexes: A Molecular Dynamics Perspective on Underlying Mechanisms
Molecular dynamics simulations reveal distinct endosomal escape mechanisms of siRNA nanoparticles, ranging from electrostatic membrane attachment to hydrophobic membrane fusion. Hydrophobic residues and anionic endosomal lipids emerge as key determinants of membrane disruption, linking molecular interactions to experimental delivery performance and ...
Katharina M. Steinegger +5 more
wiley +1 more source
Modular Neuro-Symbolic Knowledge Graph Completion
Knowledge graph completion (a.k.a. link prediction), i.e., the task of inferring missing edges in knowledge graphs, is a widely used task in many applications, such as product recommendation and question answering.
Markl, Volker +5 more
core +1 more source
KERMIT: Knowledge graph completion of enhanced relation modeling with inverse transformation
Knowledge graph completion (KGC) revolves around populating missing triples in a knowledge graph using available information. Text-based methods, which depend on textual descriptions of triples, often encounter difficulties when these descriptions lack ...
Wang, K +5 more
core +1 more source
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj +23 more
wiley +1 more source

