Results 201 to 210 of about 430,667 (336)
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
AT-BSS: A Broker Selection Strategy for Efficient Cross-Shard Processing in Sharded IoT-Blockchain Systems. [PDF]
Su Y, Xiang Y, Nguyen K, Sekiya H.
europepmc +1 more source
Viktoriia Shtefan, Thorgund Nemec, Ute Hempel, Annett Gebert and coworkers demonstrate that anodic treatment of Ti–Cu‐based metallic glass in a nontoxic pyrophosphate electrolyte forms a protective bilayered Ti/Zr‐oxide film enriched with Cu nanocrystals.
Viktoriia Shtefan +8 more
wiley +1 more source
Artificial intelligence-based digital transformation and environmental sustainability. [PDF]
Wu D, Zhang Y, Zhao L.
europepmc +1 more source
Temporal workflow orchestration: Transaction consistency across distributed financial services
Arjun Malhotra
openalex +1 more source
In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy
A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal +4 more
wiley +1 more source
QRBT: Quantum Driven Reinforcement Learning for Scalable Blockchain Transaction Processing. [PDF]
Lella KK, Mallu SRK.
europepmc +1 more source
Distributed Transactional Systems Cannot Be Fast [PDF]
Diego Didona +4 more
openalex +1 more source
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán +5 more
wiley +1 more source
EnCTN: an enhanced AI-enabled deep learning framework for security enhancement in blockchain transactions. [PDF]
Bhuvaneshwari P +3 more
europepmc +1 more source

