Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Compositionally restricted attention-based network for materials property predictions
In this paper, we demonstrate an application of the Transformer self-attention mechanism in
the context of materials science. Our network, the Compositionally Restricted Attention …
the context of materials science. Our network, the Compositionally Restricted Attention …
Machine learning for structural materials
The development of structural materials with outstanding mechanical response has long
been sought for innumerable industrial, technological, and even biomedical applications …
been sought for innumerable industrial, technological, and even biomedical applications …
Core electron count as a versatile and accurate new descriptor for sorting mechanical properties of diverse transition metal compounds
Transition‐metal light‐element compounds show superb mechanical, chemical, and thermal
properties, and accurate descriptors are important to sorting targeted properties among this …
properties, and accurate descriptors are important to sorting targeted properties among this …
High-pressure studies of size dependent yield strength in rhenium diboride nanocrystals
The superhard ReB2 system is the hardest pure phase diboride synthesized to date.
Previously, we have demonstrated the synthesis of nano-ReB2 and the use of this …
Previously, we have demonstrated the synthesis of nano-ReB2 and the use of this …
CrabNet for explainable deep learning in materials science: bridging the gap between academia and industry
AYT Wang, MS Mahmoud, M Czasny… - Integrating Materials and …, 2022 - Springer
Despite recent breakthroughs in deep learning for materials informatics, there exists a
disparity between their popularity in academic research and their limited adoption in the …
disparity between their popularity in academic research and their limited adoption in the …
Virtual issue on machine-learning discoveries in materials science
Applications of machine learning, and machine learning-based models in materials
chemistry, are a rapidly growing area of research. Traditional methods of exploration are …
chemistry, are a rapidly growing area of research. Traditional methods of exploration are …
Twenty years of exceptional success: The molecular education and research consortium in undergraduate computational chemistry (MERCURY)
GC Shields - International Journal of Quantum Chemistry, 2020 - Wiley Online Library
The molecular education and research consortium in undergraduate computational
chemistry (MERCURY) consortium, established in 2000, has contributed greatly to the …
chemistry (MERCURY) consortium, established in 2000, has contributed greatly to the …
[HTML][HTML] Predicting active, selective and stable Mo2C–based bimetallic carbides for direct deoxygenation and hydrogenation reactions: A computational screening
Transition metal carbides (TMCs), especially molybdenum carbide (Mo 2 C), represent an
economical and attractive alternative to precious noble metal catalysts for processes …
economical and attractive alternative to precious noble metal catalysts for processes …
[HTML][HTML] Exploring the hardness and high-pressure behavior of osmium and ruthenium-doped rhenium diboride solid solutions
Rhenium diboride (ReB 2) exhibits high differential strain due to its puckered boron sheets
that impede shear deformation. Here, we demonstrate the use of solid solution formation to …
that impede shear deformation. Here, we demonstrate the use of solid solution formation to …
Synthesis and characterization of polycrystalline Mo2BC ceramic
Single-phase polycrystalline Mo 2 BC ceramic bulks were synthesized successfully from
molybdenum, boron, and graphite powders using the spark plasma sintering method …
molybdenum, boron, and graphite powders using the spark plasma sintering method …