Results 211 to 220 of about 8,482,913 (303)
Assessing Constrained Nuclear-Electronic Orbital Theory for the Floppy CH5+ Ion: Geometry-Dependent Zero-Point Effects on Structure, Hydrogen Rearrangement Dynamics, and Simulated IR Spectra. [PDF]
Wang Y +4 more
europepmc +1 more source
Impact of MgO Additions on the Oxidation Resistance and Compression Behavior of Vanadium Alloys
An increase in oxidation resistance at 600 °C is achieved for alloys containing more than 2.5 wt.% MgO. It has been established that, along with V2O5, MgO6V2, and Mg2O7V2 are formed, which are presumed to enhance oxidative stability. Furthermore, the possible transformation of Mg‐vanadates through reaction with CO2, which presumably occurs in this ...
Ievgen Solodkyi +5 more
wiley +1 more source
Integrating Coupled-Cluster Theory Within AI Workflows for Accurate Molecular Geometries. [PDF]
Akram S, Vogiatzis KD.
europepmc +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Exact-Factorization Framework for Electron-Nuclear Dynamics in Electromagnetic Fields. [PDF]
Nazarov VU, Gross EKU.
europepmc +1 more source
This study examines Invar composites reinforced with titanium carbide (TiC) and titanium nitride (TiN) using laser powder bed fusion (LPBF). It presents the influence of reinforcements on microstructure, tensile properties, and thermal expansion. Results show that TiC effectively strengthens Invar while maintaining low thermal expansion, whereas TiN ...
Ayodeji Nathaniel Oyedeji +3 more
wiley +1 more source
Charge Transport in Solvated Donor-Acceptor Functionalized Peptoids: Molecular Dynamics and Rate Theory. [PDF]
Huang Z +7 more
europepmc +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Complexity of Nuclear States for <sup>48</sup>Ca. [PDF]
López-Hernández L +3 more
europepmc +1 more source

