Dr. Gao obtained her Ph.D degree in Chemistry from institute of chemistry, Chinese Academy of Science. His Ph.D research focused on multiscale modeling of morphology and properties of polymeric materials, polymer processing and unveiling the process–properties relationships. (atomic to coarse...
Filter results
Category
- (-) Computational Research (16)
- (-) Energy Resiliency (9)
- (-) Cybersecurity (2)
- Scientific Discovery (238)
- Biology (144)
- Earth System Science (102)
- Human Health (83)
- Integrative Omics (64)
- Microbiome Science (28)
- National Security (20)
- Computing & Analytics (14)
- Chemistry (8)
- Data Analytics & Machine Learning (8)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (4)
- Coastal Science (4)
- Computational Mathematics & Statistics (4)
- Renewable Energy (4)
- Weapons of Mass Effect (4)
- Atmospheric Science (3)
- Data Analytics & Machine Learning (3)
- Ecosystem Science (3)
- Distribution (2)
- Electric Grid Modernization (2)
- Energy Efficiency (2)
- Energy Storage (2)
- Grid Cybersecurity (2)
- Plant Science (2)
- Solar Energy (2)
- Bioenergy Technologies (1)
- Computational Mathematics & Statistics (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Tags
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Machine Learning (5)
- Biomarkers (4)
- Molecular Profiling (4)
- Mass spectrometry-based Omics (3)
- Predictive Modeling (3)
- Alternative Splicing (2)
- Cybersecurity (2)
- Electrical energy (2)
- Energy Equity (2)
- Energy Storage (2)
- Energy Burden (1)
- Energy Justice (1)
- Heat Exchanger (1)
- High-Performance Computing (1)
- Hydrothermal Liquefaction (1)
- Renewable Energy (1)
- Software Data Analysis (1)
- Software Development (1)
- Solar photovoltaics (1)
- Statistical Expression Analysis (1)
- Weatherization (1)
- Wet Waste (1)
The Human Islet Research Network (HIRN) is a large consortia with many research projects focused on understanding how beta cells are lost in type 1 diabetics (T1D) with a goal of finding how to protect against or replace the loss of functional beta cells. The consortia has multiple branches of...
Datasets
0
This project is an interdisciplinary collaboration supported by US DOE Office of Science's Scientific Discovery through Advanced Computing (SciDAC) program. The project addresses a crucial but largely overlooked source of error in the Energy Exascale Earth System Model (E3SM) and other atmosphere...
Category
Datasets
2
Category
Datasets
1
Category
Datasets
1
The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...
Datasets
1
The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...
Datasets
1
Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...
Datasets
3
PNNL’s Vision Statement for Equity in the Power Grid Drawing from a wealth of interdisciplinary research in grid modernization, PNNL is spearheading an effort to advance equity and energy justice through the role of scientific research with the goal of building an advanced national power grid...
Datasets
2
Category
Biography Kelly is a senior data scientist in the Computational Biology group within the Biological Sciences Division at Pacific Northwest National Laboratory (PNNL). After earning a MS in Biostatistics from the University of Washington in 2012, she worked at a cancer research company for two years...
David Degnan is a biological data scientist who develops bioinformatic and statistical pipelines for multi-omics data, specifically the fields of proteomics, metabolomics, and multi-omics (phenotypic) data integration. He has experience with top-down & bottom-up proteomics analysis, genomics &...
Category
Category
ProxyTSPRD profiles are collected using NVIDIA Nsight Systems version 2020.3.2.6-87e152c and capture computational patterns from training deep learning-based time-series proxy-applications on four different levels: models (Long short-term Memory and Convolutional Neural Network), DL frameworks...