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Our current understanding of the structure and dynamics of aqueous interfaces at the molecular level has grown substantially in the last few decades due to the continuous development of surface-specific spectroscopies, such as vibrational…

Chemical Physics · Physics 2023-09-27 Yair Litman , Jinggang Lan , Yuki Nagata , David M. Wilkins

Much work over the last 25 years has demonstrated that the interface-specific, alloptical technique, vibrational sum frequency generation (v-SFG) spectroscopy, is often uniquely capable of characterizing the structure and dynamics of…

Optics · Physics 2018-11-14 Martin Thämer , R. Kramer Campen , Martin Wolf

Understanding the molecular-level structure and dynamics of ice surfaces is crucial for deciphering several chemical, physical, and atmospheric processes. Vibrational sum-frequency generation (SFG) spectroscopy is the most prominent tool…

Vibrational sum frequency generation (SFG) is a nonlinear spectroscopic technique widely used to study the molecular structure and dynamics of surface systems. However, the spatial resolution achieved by far-field observations is…

Vibrational sum frequency generation (SFG) spectroscopy is a powerful technique for investigating molecular structures, orientations, and dynamics at surfaces. However, its spatial resolution is fundamentally restricted to the micrometer…

In the present work, we provide an electronic structure based method for the "on-the-fly" determination of vibrational sum frequency generation (v-SFG) spectra. The predictive power of this scheme is demonstrated at the air-water interface.…

Chemical Physics · Physics 2020-06-26 Deepak Ojha , Thomas D Kühne

Calculation of Raman scattering from molecular dynamics (MD) simulations requires accurate modeling of the evolution of the electronic polarizability of the system along its MD trajectory. For large systems, this necessitates the use of…

Materials Science · Physics 2024-06-12 Atanu Paul , Maya Rubenstein , Anthony Ruffino , Stefan Masiuk , Jonathan Spanier , Ilya Grinberg

The authors propose a new modeling approach based on the impedance field method (IFM) to analyze the general geometric variations in device simulations. Compared with the direct modeling of multiple variational devices, the proposed…

Mesoscale and Nanoscale Physics · Physics 2016-04-27 Bo Fu , Seonghoon Jin , Woosung Choi , Keun-Ho Lee , Young-Kwan Park

Variational regression methods are an increasingly popular tool for their efficient estimation of complex. Given the mixed model representation of penalized effects, additive regression models with smoothed effects and scalar-on-function…

Methodology · Statistics 2024-06-13 Mark J. Meyer , Junyi Wei

Interface-specific hydrogen- (H-)bonding network of water next to a substrate (including air) directly controls the energy transfer and chemical reaction pathway at many charged aqueous interfaces. Yet, experimental characterization of such…

Soft Condensed Matter · Physics 2023-01-02 Yao Hsiao , Ting-Han Chou , Animesh Patra , Yu-Chieh Wen

Vibrational spectroscopy, comprised of infrared absorption and Raman scattering spectroscopy, is widely used for label-free optical sensing and imaging in various scientific and industrial fields. The group theory states that the two…

Chemical Physics · Physics 2019-10-09 Kazuki Hashimoto , Venkata Ramaiah Badarla , Akira Kawai , Takuro Ideguchi

Sum-frequency generation (SFG) spectroscopy provides a versatile method for the investigation of non-centrosymmetric media and interfaces. Here, using tunable picosecond infrared (IR) pulses from a free-electron laser, the nonlinear optical…

Materials Science · Physics 2023-08-01 Riko Kiessling , Martin Wolf , Alexander Paarmann

A simple molecular thermodynamic approach is applied to the study of the adsorption of gases of chain molecules on solid surfaces. We use a model based on the Statistical Associating Fluid Theory for Variable Range (SAFT-VR) potentials [A.…

Computational Physics · Physics 2010-12-23 M. Castro , R. Martinez , A. Martinez , H. C. Rosu

In developing data-driven modeling methodologies, there is an ongoing need to reconcile the strong predictive performance of opaque black-box models with the transparency required for critical applications. This work introduces an…

Machine Learning · Statistics 2026-05-21 Xin Huang , Jia Li , Jun Yu

The Gaussian graphical model (GGM) incorporates an undirected graph to represent the conditional dependence between variables, with the precision matrix encoding partial correlation between pair of variables given the others. To achieve…

Methodology · Statistics 2023-07-03 Yueqi Qian , Xianghong Hu , Can Yang

Multimodal recommendation aims to integrate collaborative signals with heterogeneous content such as visual and textual information, but remains challenged by modality-specific noise, semantic inconsistency, and unstable propagation over…

Information Retrieval · Computer Science 2026-02-02 Wei Yang , Rui Zhong , Yiqun Chen , Chi Lu , Peng Jiang

In this paper, a novel decomposition method for non-stationary and nonlinear signals is proposed. This method is inspired by the adaptive wavelet filter bank of the empirical wavelet transform (EWT) and Fourier intrinsic band functions…

Signal Processing · Electrical Eng. & Systems 2019-12-03 Wei Zhou , Zhongren Feng , Xiongjiang Wang , Hao Lv

Current generative models for drug discovery primarily use molecular docking to evaluate the quality of generated compounds. However, such models are often not useful in practice because even compounds with high docking scores do not…

Biomolecules · Quantitative Biology 2024-02-19 Peter Eckmann , Dongxia Wu , Germano Heinzelmann , Michael K Gilson , Rose Yu

Sum-frequency generation (SFG) is a powerful second-order nonlinear spectroscopic technique that provides detailed insights into molecular structures and absolute orientations at surfaces and interfaces. However, conventional SFG based on…

Infrared and visible image fusion (IVIF) is essential for integrating thermal saliency with textural details to support downstream perception. However, most existing approaches suffer from "semantic blindness," leading to the erroneous…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Xiaoyang Zhang , jinjiang Li , Guodong Fan , Yakun Ju , Linwei Fan , Jun Liu , Alex C. Kot
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