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Literature DB >> 9945814

Empirical interatomic potential for silicon with improved elastic properties.

Abstract

Entities: Chemical

Year: 1988 PMID： 9945814 DOI： 10.1103/physrevb.38.9902

Source DB: PubMed Journal: Phys Rev B Condens Matter ISSN： 0163-1829

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16 in total

1. Operational and environmental conditions regulate the frictional behavior of two-dimensional materials.

Authors: Bien-Cuong Tran-Khac; Hyun-Joon Kim; Frank W DelRio; Koo-Hyun Chung
Journal: Appl Surf Sci Date: 2019 Impact factor: 6.707

2. Thermal conductivity and its relation to atomic structure for symmetrical tilt grain boundaries in silicon.

Authors: J Hickman; Y Mishin
Journal: Phys Rev Mater Date: 2020 Impact factor: 3.989

3. Investigation of the 'double cross' splitting mechanism of single-crystal diamond under nanoindentation via molecular dynamics simulation.

Authors: Linyuan Wang; Hao Ke; Jie Ma; Jian Liu
Journal: J Mol Model Date: 2017-09-29 Impact factor: 1.810

4. Generating gradient germanium nanostructures by shock-induced amorphization and crystallization.

Authors: Shiteng Zhao; Bimal Kad; Christopher E Wehrenberg; Bruce A Remington; Eric N Hahn; Karren L More; Marc A Meyers
Journal: Proc Natl Acad Sci U S A Date: 2017-08-28 Impact factor: 11.205

5. Gaussian Process Regression for Materials and Molecules.

Authors: Volker L Deringer; Albert P Bartók; Noam Bernstein; David M Wilkins; Michele Ceriotti; Gábor Csányi
Journal: Chem Rev Date: 2021-08-16 Impact factor: 60.622

6. The interplay of chemical structure, physical properties, and structural design as a tool to modulate the properties of melanins within mesopores.

Authors: Alessandro Pira; Alberto Amatucci; Claudio Melis; Alessandro Pezzella; Paola Manini; Marco d'Ischia; Guido Mula
Journal: Sci Rep Date: 2022-07-06 Impact factor: 4.996

Empirical interatomic potential for silicon with improved elastic properties.

1. Operational and environmental conditions regulate the frictional behavior of two-dimensional materials.

2. Thermal conductivity and its relation to atomic structure for symmetrical tilt grain boundaries in silicon.

3. Investigation of the 'double cross' splitting mechanism of single-crystal diamond under nanoindentation via molecular dynamics simulation.

4. Generating gradient germanium nanostructures by shock-induced amorphization and crystallization.

5. Gaussian Process Regression for Materials and Molecules.

6. The interplay of chemical structure, physical properties, and structural design as a tool to modulate the properties of melanins within mesopores.

7. Atomic-scale disproportionation in amorphous silicon monoxide.

8. Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems.

9. Thermal conductance calculations of silicon nanowires: comparison with diamond nanowires.

10. Machine learning unifies the modeling of materials and molecules.