Results 101 to 110 of about 25,273 (241)
Performance comparison of the CRAY-2 and CRAY X-MP/416 supercomputers
Margaret L. Simmons, Harvey J. Wasserman
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Scalable3-BO: Big Data Meets HPC - A Scalable Asynchronous Parallel High-Dimensional Bayesian Optimization Framework on Supercomputers [PDF]
Anh Tran
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In this work, the electrochemical compatibility of a broad range of solid polymer electrolytes with two Ni‐rich nickel–manganese–cobalt cathodes (NMC622, NMC811) is investigated through a hybrid computational and experimental approach. The relative reactivity of NMC811 to NMC622 is demonstrated, as well as the role of Li cations in the electrolyte ...
Alexandre Roelens +9 more
wiley +1 more source
The transition from linear to cyclic organic cations promotes deprotonation and activates VH(N) defects with pronounced lone‐pair electron activity, thereby inducing severe local distortions and highly efficient nonradiative recombination centers. This work unveils a direct structure–defect–performance correlation and proposes design strategies for the
Qingshan Bao +5 more
wiley +1 more source
Constructing Cu/Cu2O Heterogeneous Interface for Efficient Urea Electrosynthesis
In this study, a Cu/Cu2O heterogeneous interface with dual active sites is prepared for electrocatalytic CO2 and NO3−$$ {\mathrm{NO}}_3^{-} $$ coupling to urea. The catalyst shows high yield rates of 1156.63 mmol g−1 h−1 and FE of 29.67% at −1.0 V (vs RHE), which is significantly higher than Cu and Cu2O, highlighting the advantages of heterogeneous ...
Jiani Liu +7 more
wiley +1 more source
Fullerenes tend to alloy with polymer:nonfullerene acceptor hosts, yielding composition‐dependent increases in open‐circuit voltage while recombination remains governed by the charge‐transfer state energy and is independent of the nature of the third component.
Dominic Blätte +14 more
wiley +1 more source
Parallel IO performance and scalability study on the PRACE CURIE supercomputer.
Philippe Wautelet, Pierre Kestener
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Tuning VASP (ver. 6.2.1) performance on AMD supercomputers
Dominik Legut, S. Arapan
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TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
Using silicon and gallium arsenide technologies for new supercomputer design
I.D. Robertson
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