Gaussian Decomposition vs. Semiclassical Quantum Simulation: Obtaining the High-Order Derivatives of a Spectrum in the Case of Photosynthetic Pigment Optical Properties Studying

Andrei P. Razjivin, Vladimir S. Kozlovsky, Aleksandr A. Ashikhmin, Roman Y. Pishchalnikov

Open source

DOI
10.3390/s23198248
Published
2023-10-05
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s23198248,
  title = {Gaussian Decomposition vs. Semiclassical Quantum Simulation: Obtaining the High-Order Derivatives of a Spectrum in the Case of Photosynthetic Pigment Optical Properties Studying},
  author = {Andrei P. Razjivin and Vladimir S. Kozlovsky and Aleksandr A. Ashikhmin and Roman Y. Pishchalnikov},
  year = {2023},
  journal = {Sensors},
  doi = {10.3390/s23198248},
  url = {https://doi.org/10.3390/s23198248}
}

RIS

TY  - JOUR
TI  - Gaussian Decomposition vs. Semiclassical Quantum Simulation: Obtaining the High-Order Derivatives of a Spectrum in the Case of Photosynthetic Pigment Optical Properties Studying
AU  - Andrei P. Razjivin
AU  - Vladimir S. Kozlovsky
AU  - Aleksandr A. Ashikhmin
AU  - Roman Y. Pishchalnikov
PY  - 2023
JO  - Sensors
DO  - 10.3390/s23198248
UR  - https://doi.org/10.3390/s23198248
ER  - 

APA

Razjivin, A. P., Kozlovsky, V. S., Ashikhmin, A. A., & Pishchalnikov, R. Y. (2023). Gaussian Decomposition vs. Semiclassical Quantum Simulation: Obtaining the High-Order Derivatives of a Spectrum in the Case of Photosynthetic Pigment Optical Properties Studying. Sensors. https://doi.org/10.3390/s23198248

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