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
April 23-24, 2025
18th International Conference on Tissue Engineering and Regenerative Medicine
Aix-en-Provence, France
May 14-15, 2025
4th International conference on Information Technology, Data Science and Digital Health
Paris, France
July 28-29, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Vancouver, Canada
Nanoinformatics Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Big Data Analytics
- Big Data Technologies
- Business Analytics
- Cloud Computing
- Clustering
- Data Mining Methods and Algorithms
- Forecasting from Big Data
- Internet of Things (IOT)
- Nanoinformatics
- New Visualization Techniques
- Renewable Energy Forecasting with Big Data
- Social Network Analysis
- Big Data Algorithm
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Optimization
- Complexity and Algorithms
- Data Mining and Machine Learning
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Frequent Pattern Mining
- Open Data
- Search and Data Mining
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