Nanoinformatics
Nanoinformatics is the science and practice of determining which information is relevant to the nanoscale science and engineering community, and then developing and implementing effective mechanisms for collecting, storing, validating, modelling, applying, analysing and sharing that information. Nano informatics also involves the utilization of networked communication tools to launch and support efficient communities of practice. Nanoinformatics is necessary for intelligent development and comparative characterization of nanomaterials, for design and use of optimized Nanodevices and Nanosystems, and for development of advanced instrumentation and manufacturing processes.
- Consortium for Coordinating Nanomaterials Research Data
- Nanomaterials Development Using Nanoinformatics
- Meta data for Cross-discipline, Cross-sector Information Exchange
- Meta-crawler for Mining Nanotechnology Repositories and Open Access Sources
- Nano SAR Education and Dissemination
- Simulation Resources and Challenge
Related Conference of Nanoinformatics
10th International Conference and Expo on Computer Graphics & Animation
11th International Conference on Data Science and Machine Learning Applications
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Nanoinformatics Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Big Data Algorithm
- Big Data Analytics
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Optimization
- Big Data Technologies
- Business Analytics
- Cloud Computing
- Clustering
- Complexity and Algorithms
- Data Mining and Machine Learning
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Methods and Algorithms
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Forecasting from Big Data
- Frequent Pattern Mining
- Internet of Things (IOT)
- Nanoinformatics
- New Visualization Techniques
- Open Data
- Renewable Energy Forecasting with Big Data
- Search and Data Mining
- Social Network Analysis
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