Concept

Laser absorption spectrometry

Publications associées (330)

Probing the Material Loss and Optical Nonlinearity of Integrated Photonic Materials

Tobias Kippenberg, Guanhao Huang, Junqiu Liu

Optical absorption and nonlinear index are important performance drivers in devices like microcombs and parametric oscillators. Here we use resonance-enhanced nonlinear spectroscopy to characterize absorption limits and nonlinear index for some integrated ...

IEEE2021

Influence of Uncertainty of Body Permittivity on Achievable Radiation Efficiency of Implantable Antennas-Stochastic Analysis

Anja Skrivervik, Zvonimir Sipus

Design of medical sensor implants is very challenging due to numerous restrictions in terms of size and biological acceptability. In addition, large absorption and reflection of electromagnetic waves in body tissues significantly degrades the communication ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Femtosecond laser-based optomechanical processes for permanent and high-precision fine alignment of optical systems

Saood Ibni Nazir

Miniaturization has been at the forefront of scientific research in the past decade covering diverse areas such as electronics, mechanics, and optics. While 'small is beautiful' may be a vast generalization, the true benefits of miniaturization are especia ...

EPFL2021

Efficient Semiclassical Dynamics for Vibronic Spectroscopy beyond Harmonic, Condon, and Zero-Temperature Approximations

Jiri Vanicek, Tomislav Begusic

Understanding light-induced processes in biological and human-made molecular systems is one of the main goals of physical chemistry. It has been known for years that the photoinduced dynamics of atomic nuclei can be studied by looking at the vibrational su ...

2021

Phototransformation of Organic Contaminants in Aquatic Systems: Characterization of Long-Lived Photooxidants Derived from Dissolved Organic Matter

Stephanie Christa Remke

The increasing interest in the fate of organic contaminants in the aquatic environment requires the elucidation of relevant abiotic transformation processes. These processes often involve the ubiquitous dissolved organic matter (DOM), a complex mixture of ...

EPFL2021

Efficient ab initio semiclassical dynamics for linear and nonlinear electronic spectroscopy

Tomislav Begusic

Molecular spectroscopy is an essential experimental technique in both fundamental physical sciences and applied research. For example, electronic spectroscopy, in which light induces a change in the electronic state of a molecule, is a powerful tool for st ...

EPFL2021

Photoisomerization of Linear and Stacked Isomers of a Charged Styryl Dye: A Tandem Ion Mobility Study

Eduardo Carrascosa Casado

The photoisomerization behavior of styryl 9M, a common dye used in material sciences, is investigated using tandem ion mobility spectrometry (IMS) coupled with laser spectroscopy. Styryl 9M has two alkene linkages, potentially allowing for four geometric i ...

AMER CHEMICAL SOC2021

Computational studies for the description of electronic and optical properties for photocatalysis in Metal Organic Frameworks

Andres Adolfo Ortega Guerrero

Metal-organic frameworks(MOFs) are promising materials for photocatalytic applications. MOFs modular and porosity structure provides a platform to assemble photo-active and catalytic-sites building block units that can offer unique photo-physics. This feat ...

EPFL2021

Coherent terahertz-to-microwave link using electro-optic-modulated Turing rolls

Tobias Kippenberg, Anat Siddharth, Wenle Weng, Arslan Sajid Raja, Jijun He, Miles Henry Anderson

Arising from modulation instability, Turing rolls in optical Kerr microresonators have been used in the generation of optical frequency combs and the synthesis of microwave and terahertz frequencies. In this work, by applying electro-optic modulation on te ...

AMER PHYSICAL SOC2021

Toward smart carbon capture with machine learning

Berend Smit, Seyedmohamad Moosavi, Mohammad Rahimi

Machine learning (ML) is emerging as a powerful approach that has recently shown potential to affect various frontiers of carbon capture, a key interim technology to assist in the mitigation of climate change. In this perspective, we reveal how ML implemen ...

ELSEVIER2021

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