Strain tunable spin reorientation of an individual Fe atom on 2D blue phosphorous.

J Phys Condens Matter

Department of Physics, Incheon National University, Incheon 22012, Republic of Korea.

Published: December 2019

Herein, using first-principles calculations, we predict spin reorientation from in-plane to out-of-plane magnetization of an individual Fe magnet at the monophosphor vacancy in two-dimensional blue phosphorous (2D blue-P) by a few percent of tensile strain. We further reveal that this magnetization reversal is associated with the spin-state transition of Fe 3d state from low-spin (1 [Formula: see text]) to high-spin state (5 [Formula: see text]), which occurs at the same tensile strain imposed into 2D blue-P, from the Ligand field theory analyses in the unpaired electron counts. The underlying mechanism for both the spin-state transition and spin-reorientation phenomena is the strain induced changes in the spin-orbit coupled adatomic [Formula: see text] and [Formula: see text] states through the strong hybridization with the P-3p  orbitals. These findings open interesting prospects for exploiting stain engineering of 2D materials to manipulate magnetism and magnetization orientation of single-molecule magnets adsorbed on it.

Download full-text PDF

Source
http://dx.doi.org/10.1088/1361-648X/ab3b6dDOI Listing

Publication Analysis

Top Keywords

[formula text]
16
spin reorientation
8
blue phosphorous
8
tensile strain
8
spin-state transition
8
strain
4
strain tunable
4
tunable spin
4
reorientation individual
4
individual atom
4

Similar Publications

Voltage-gated potassium conductances [Formula: see text] play a critical role not only in normal neural function, but also in many neurological disorders and related therapeutic interventions. In particular, in an important animal model of epileptic seizures, 4-aminopyridine (4-AP) administration is thought to induce seizures by reducing [Formula: see text] in cortex and other brain areas. Interestingly, 4-AP has also been useful in the treatment of neurological disorders such as multiple sclerosis (MS) and spinal cord injury, where it is thought to improve action potential propagation in axonal fibers.

View Article and Find Full Text PDF

(PN) root is a renowned nutritional supplement, health food additive, and traditional medicine that maintains homeostasis within the human microcirculatory system. Notoginsenoside R1 (NG-R1), an active compound derived from PN root, has been reported to possess various pharmacological activities, including anti-inflammatory, antioxidant, anticancer, antimicrobial, and angiogenic effects. However, NG-R1's pharmacokinetic properties and pharmacological activities have not been systematically elucidated.

View Article and Find Full Text PDF

The Pharmacology and Toxicology of Ginkgolic Acids: Secondary Metabolites from .

Am J Chin Med

January 2025

School of Pharmacy, Nantong University, 9 Seyuan Road, Nantong 226019, P. R. China.

Ginkgolic acids (GAs) are distinctive secondary metabolites of () primarily found in its leaves and seeds, with the highest concentration located in the exotesta. GAs are classified as long-chain phenolic compounds, and exhibit structural similarities to lignoceric acid. Their structural diversity arises from variations in the length of side chains and their number of double bonds, resulting in six distinct forms within extracts (GBE).

View Article and Find Full Text PDF

Advances in Pharmacological Research on Icaritin: A Comprehensive Review.

Am J Chin Med

January 2025

Henan Key Laboratory of Digestive Organ Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, P. R. China.

has been widely used in traditional Chinese medicine for several thousands of years. This plant is known for tonifying kidney Yang, strengthening muscles and bones, and dispelling wind and dampness. It is worth noting that icaritin, a prenylated flavonoid isolated from , has received increasing attention in recent years due to its wide range of pharmacological activities.

View Article and Find Full Text PDF

Tensor networks enable the calculation of turbulence probability distributions.

Sci Adv

January 2025

Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA.

Predicting the dynamics of turbulent fluids has been an elusive goal for centuries. Even with modern computers, anything beyond the simplest turbulent flows is too chaotic and multiscaled to be directly simulatable. An alternative is to treat turbulence probabilistically, viewing flow properties as random variables distributed according to joint probability density functions (PDFs).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!