A5086799007- Liquid Crystal Research Advancements
- Photonic Crystals and Applications
- Atomic and Subatomic Physics Research
- Advanced Polymer Synthesis and Characterization
- Advancements in Photolithography Techniques
- Quantum Chromodynamics and Particle Interactions
- Pickering emulsions and particle stabilization
- Electron and X-Ray Spectroscopy Techniques
- Advanced Data Storage Technologies
- Polymer Surface Interaction Studies
- Supramolecular Self-Assembly in Materials
- Block Copolymer Self-Assembly
- Advanced Materials and Mechanics
- Advanced Fluorescence Microscopy Techniques
- Scientific Computing and Data Management
- Advanced ceramic materials synthesis
- Stochastic processes and statistical mechanics
- Integrated Circuits and Semiconductor Failure Analysis
- Engineering Education and Technology
- Copper Interconnects and Reliability
- Advanced Fiber Optic Sensors
- Geological Modeling and Analysis
- 3D Modeling in Geospatial Applications
- Machine Learning in Materials Science
- Optical Systems and Laser Technology
Lawrence Berkeley National Laboratory
2017-2023
Ashland (United States)
2021-2022
Research Applications (United States)
2022
Randolph–Macon College
2021-2022
William & Mary
2020
Williams (United States)
2020
Alive Hospice
2020
University of California, Merced
2013-2015
Merced College
2014-2015
University of California System
2014
Xi-cam is an extensible platform for data management, analysis and visualization. aims to provide a flexible approach synchrotron treatment as solution rising demands high-volume/high-throughput processing pipelines. The core of plugin-based graphical user interface which provides users with interactive algorithms. Plugins are available SAXS/WAXS/GISAXS/GIWAXS, tomography NEXAFS data. With Xi-cam's `advanced' mode, steps designed graph-based workflow, can be executed live, locally or...
The isotropic to nematic liquid crystal (LC) phase transition is used create organized assemblies of CdSe/ZnS core/shell quantum dots (QDs). Under controlled conditions, well dispersed QDs are expelled from the ordered domains LC into remaining domains. final produces three dimensional QD that situated at defect points in volume. Through luminescence we able track movement nanoparticles as formed spectrally probe resulting assemblies. Forster resonance energy transfer (FRET) measurements,...
Abstract Mesogenic ligands have the potential to provide control over dispersion and stabilization of nanoparticles in liquid crystal (LC) phases. The creation such hybrid materials is an important goal for soft tunable photonic devices, as LC laser. Herein, we present a comparison isotropic mesogenic attached surface CdSe (core‐only) CdSe/ZnS (core/shell) quantum dots (QDs). ligand′s flexible arm structure enhances ligand alignment, with local director promoting QD nematic To characterize...
A new process for the generation of micron-scale vesicle-like nanoparticle shells is reported. These constructs consist a robust, thin spherical layer, composed closely packed quantum dots (QDs) and are stabilized by ligand–ligand interactions. This represents versatile method making non-planar 3D nano-assemblies.
The spin-structure functions $g_1$ and $g_2$, the spin-dependent partial cross-section $\sigma_\mathrm{TT}$ have been extracted from polarized cross-sections differences, $\Delta \sigma_{\parallel}\hspace{-0.06cm}\left(\nu,Q^{2}\right)$ \sigma_{\perp}\hspace{-0.06cm}\left(\nu,Q^{2}\right)$ measured for $\vec{^\textrm{3}\textrm{He}}(\vec{\textrm{e}},\textrm{e}')\textrm{X}$ reaction, in E97-110 experiment at Jefferson Lab. Polarized electrons with energies 1.147 to 4.404 GeV were scattered...
The introduction of BERTopic marked a crucial advancement in topic modeling and presented model that outperformed both traditional modern models terms metrics on variety corpora. However, unique issues arise when is performed scientific articles. This paper introduces BERTeley, an innovative tool built upon BERTopic, designed to alleviate these shortcomings improve the usability conducting corpus consisting accomplished through BERTeley's three main features: article preprocessing, using...
Investment in brighter sources and larger faster detectors has accelerated the speed of data acquisition at national user facilities. The offers many opportunities for discovery new materials, but it also presents a daunting challenge. rate far exceeds current quality assessment, resulting less than optimal coverage, which extreme cases forces recollection data. Herein, we show how this challenge can be addressed through development an approach that makes routine assessment automatic...
The design and development of multifunctional composite materials from artificial nano-constituents is one the most compelling current research areas. This drive to improve over nature produce 'meta-materials' has met with some success, but results have proven limited regards both demonstration synergistic functionalities in ability manipulate material properties post-fabrication situ. Here, magnetic nanoparticles (MNPs) semiconducting quantum dots (QDs) are co-assembled a nematic liquid...
Extreme ultraviolet (EUV) lithography is one of the most promising printing techniques for high-volume semiconductor manufacturing at 14-nm half-pitch device node and beyond. However, key challenges around EUV photoresist materials, such as exposure-dose sensitivity or line-width roughness, continue to impede its full adoption into industrial nanofab facilities. Metrology tools are required address these by helping assess impact materials' properties processing conditions along different...
Semiflexible polymers can generate a range of filamentous networks significantly different in structure from those seen conventional polymer solutions. Our coarse-grained simulations with an implicit cross-linker potential show that branching bundles, knotted morphologies, and structural chirality be generated by generalized approach independent specific cross-linkers. Network depends primarily on filament flexibility separation, significant connectivity increase after percolation. Results...
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large diverse data problems. However, many available ML tools programmatically demanding computationally costly. The MLExchange project aims build collaborative platform equipped with enabling that allow scientists facility users who do not have profound background use computational resources discovery. At high level, we targeting full...
With the advent of high brightness sources and fast detectors, there is a possibility for combining X-ray acquisition with high-speed data treatment to reach timescale an effective in-line characterization method. We will highlight two recent developments using Small Angle Scattering on nanoscale etched patterns: first inclusion CD-SAXS tool, allowing simulations reconstruct form-factor, inside Xi-cam framework; second development performance Grazing Incidence approach shape line profile....
The Gaussian process (GP) is a widely used probabilistic machine learning method for stochastic function approximation, modeling, and analyzing real-world measurements of nonlinear processes. Unlike many other methods, GPs include an implicit characterization uncertainty, making them extremely useful across areas science, technology, engineering. Traditional implementations involve stationary kernels (also termed covariance functions) that limit their flexibility exact methods inference...
Extreme ultraviolet lithography is one of the most promising printing techniques for high volume semiconductor manufacturing at 14 nm half-pitch device node and beyond. However, key challenges around EUV photoresist materials such as exposure-dose sensitivity or line-width roughness continue to impede full adoption into industrial nanofab facilities. New metrology tools are required address these by helping determine impact materials' properties processing conditions on through different...