A5013951816- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Complex Network Analysis Techniques
- Advanced Graph Neural Networks
- Topic Modeling
- Natural Language Processing Techniques
- Opinion Dynamics and Social Influence
- CO2 Reduction Techniques and Catalysts
- Advanced battery technologies research
- Electrocatalysts for Energy Conversion
- Ionic liquids properties and applications
- Protein Structure and Dynamics
- Advanced Text Analysis Techniques
- Photonic Crystal and Fiber Optics
- Photochemistry and Electron Transfer Studies
- Fuel Cells and Related Materials
- Chemical Analysis and Environmental Impact
- Metal-Catalyzed Oxygenation Mechanisms
- Data Management and Algorithms
- Authorship Attribution and Profiling
- Nitric Oxide and Endothelin Effects
- Optical Network Technologies
- Multimodal Machine Learning Applications
- Sulfur Compounds in Biology
- Advanced Fiber Laser Technologies
University of California, Los Angeles
2025
National Taiwan University
2014-2023
National Tsing Hua University
2021
San Diego State University
2015
The broadband parasitic amplification in a diode-seeded nanosecond ytterbium-doped fiber laser amplifier system is numerically and experimentally investigated. originated from weak pulsed signal associated with the 1064-nm seed diode laser. Although average power of pulse less than 5% total power, significant transient spike observed during amplification. In agreement simulation, nonlinear effects caused by limits scaling peak preamplifiers. With utilization narrow bandwidth filter to...
Copper-oxide electrocatalysts have been demonstrated to effectively perform the electrochemical CO2 reduction reaction (CO2RR) toward C2+ products, yet preserving reactive high-valent CuOx has remained elusive. Herein, we demonstrate a model system of Lewis acidic supported Cu electrocatalyst with pulsed electroreduction method achieve enhanced performance for in which an optimized could reach ∼76% Faradaic efficiency products (FEC2+) at ∼-0.99 V versus reversible hydrogen electrode, and...
Proton-coupled electron transfer (PCET) underpins energy conversion processes in biological systems and fuel-forming reactions. Interrogation of the dynamics proton PCET requires tunable models, with...
PageRank has been the signature unsupervised ranking model for node importance in a graph. One potential drawback of is that its computation depends only on input graph structures, not considering external information such as attributes nodes. This work proposes AttriRank, an considers structure but also AttriRank and domain-independent, which different from most existing works requiring either ground-truth labels or specific domain knowledge. Combining two reasonable assumptions about...
In spite of the comprehensive study metal-mediated conversion NO to N2O disclosing conceivable processes/mechanism in biological and biomimetic studies, this study, synthesis cycles mechanism reduction triggered by electronically localized dinuclear {Fe(NO)2}10–{Fe(NO)2}9 dinitrosyl iron complex (DNIC) [Fe(NO)2(μ-bdmap)Fe(NO)2(THF)] (1) (bdmap = 1,3- bis(dimethylamino)-2-propanolate) were investigated detail. Reductive 1 presence exogenous ·NO occurs via simultaneous formation...
Abstract The traditional connection between rate constants and free energy landscapes is extended to define effective relevant on any chosen timescale. Although the Eyring–Polanyi transition state theory specifies a fixed timescale of <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi>τ</m:mi> <m:mo>=</m:mo> <m:mi>h</m:mi> <m:mo>/</m:mo> <m:msub> <m:mi>k</m:mi> <m:mi mathvariant="normal">B</m:mi> </m:msub> <m:mi>T</m:mi> </m:mrow> </m:math> ${\tau =h/k_{\mathrm {B}}T}$ , we...
Pre-trained language models that learn contextualized word representations from a large un-annotated corpus have become standard component for many state-of-the-art NLP systems. Despite their successful applications in various downstream tasks, the extent of contextual impact on representation has not been explored. In this paper, we present detailed analysis Transformer- and BiLSTM-based masked models. We follow two different approaches to evaluate context: masking based approach is...
The redox reaction as the driving force induces dynamic structure of electrocatalyst, which enhances performance catalysis. Yet, it lacks understanding influence on transforming process, inhibiting obtaining actual factor that determines catalytic performance. Resorting to pulse and in situ methodology, herein, effect spontaneous reoxidation structural transformation Cu–Pd bimetallic catalyst for CO 2 electroreduction is investigated. During program, applying open‐circuit voltage cathodic...
Summarizing data samples by quantitative measures has a long history, with descriptive statistics being case in point. However, as natural language processing methods flourish, there are still insufficient characteristic metrics to describe collection of texts terms the words, sentences, or paragraphs they comprise. In this work, we propose diversity, density, and homogeneity that quantitatively measure dispersion, sparsity, uniformity text collection. We conduct series simulations verify...