Monday, March 8, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Building scientific insight through machine learning

May 13, 2020
in Machine Learning
Building scientific insight through machine learning
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

An illustration of the collection of targeted information extracted from manuscripts including chemicals, experimental sentences, nanomaterial compositions and morphologies. The statistics of collected information is displayed using a computer visualization tool. Image by Veronica Chen/LLNL.

You might also like

How Machine Learning Is Changing Influencer Marketing

Video Highlights: Deep Learning for Probabilistic Time Series Forecasting

Machine Learning Market Expansion Projected to Gain an Uptick During 2021-2027

A team of Lawrence Livermore National Laboratory (LLNL) materials and computer scientists developed machine learning tools that extract and structure information from the text and figures of nanomaterials articles using state-of-the-art natural language processing, image analysis, computer vision and visualization techniques.

They are applying this technique to COVID-19 literature to determine if information extracted from that large body of literature can aid in accelerating COVID-19 research.

Nanomaterials are widely used at LLNL and in industry for many applications from catalysis to optics to additive manufacturing. The combination of nanomaterials’ shape, size and composition can impart unique optical, electrical, mechanical or catalytic properties needed for a specific application. However, synthesizing a specific nanomaterial and scaling up its production is often challenging because a small change in the process or the addition of a specific chemical can have a dramatic effect on what is made. These effects are only discovered by time-consuming trial-and-error experimentation and reading reported experiments in the scientific literature, which together build experts’ intuition.

The new machine learning tools have enabled the creation of a personalized knowledge base for nanomaterials synthesis that can be mined to help inform further development. Starting with approximately 35,000 nanomaterials-related articles, the team developed models to classify articles according to the nanomaterial composition and morphology, extract synthesis protocols from within the article text and extract, normalize and categorize chemical terms within synthesis protocols.

“These tools and information can be used to identify trends in nanomaterials synthesis, such as the correlation of certain reagents with various nanomaterial morphologies, which is useful in guiding hypotheses and reducing the potential parameter space during experimental design,” said Anna Hiszpanski, the lead author of the paper appearing in the Journal for Chemical Information and Modeling.

In addition to processing articles’ text, microscopy images of nanomaterials within the articles also are automatically identified and analyzed to determine the nanomaterials’ morphologies and size distributions. To enable users to easily explore the database, a complementary browser-based visualization tool also was developed that provides flexibility in comparing across subsets of articles of interest.

“While the focus of our work was on the synthesis of nanomaterials, the framework in terms of model selection and training methodology can be used for extracting other targeted data of interest from scientific articles in other materials and chemistry subfields and beyond,” said principal investigator of the project Yong Han.

Other LLNL contributors include: Brian Gallagher, Karthik Chellappan, Peggy Li, Shusen Liu, Hyojin Kim, Jinkyu Han, Bhavya Kailkhura and David Buttler. This work was funded by LLNL’s Laboratory Directed Research and Development program.

/Public Release. View in full here.

Credit: Google News

Previous Post

Unlock Your Mac with Apple Watch

Next Post

Database Week: MariaDB lets you have it your way with new tier to SkySQL cloud

Related Posts

How Machine Learning Is Changing Influencer Marketing
Machine Learning

How Machine Learning Is Changing Influencer Marketing

March 8, 2021
Video Highlights: Deep Learning for Probabilistic Time Series Forecasting
Machine Learning

Video Highlights: Deep Learning for Probabilistic Time Series Forecasting

March 7, 2021
Machine Learning Market Expansion Projected to Gain an Uptick During 2021-2027
Machine Learning

Machine Learning Market Expansion Projected to Gain an Uptick During 2021-2027

March 7, 2021
Clinical presentation of COVID-19 – a model derived by a machine learning algorithm
Machine Learning

Clinical presentation of COVID-19 – a model derived by a machine learning algorithm

March 7, 2021
Researchers at Utrecht University Develop an Open-Source Machine Learning (ML) Framework Called ASReview to Help Researchers Carry Out Systematic Reviews
Machine Learning

Researchers at Utrecht University Develop an Open-Source Machine Learning (ML) Framework Called ASReview to Help Researchers Carry Out Systematic Reviews

March 7, 2021
Next Post
Database Week: MariaDB lets you have it your way with new tier to SkySQL cloud

Database Week: MariaDB lets you have it your way with new tier to SkySQL cloud

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

How Machine Learning Is Changing Influencer Marketing
Machine Learning

How Machine Learning Is Changing Influencer Marketing

March 8, 2021
Video Highlights: Deep Learning for Probabilistic Time Series Forecasting
Machine Learning

Video Highlights: Deep Learning for Probabilistic Time Series Forecasting

March 7, 2021
Machine Learning Market Expansion Projected to Gain an Uptick During 2021-2027
Machine Learning

Machine Learning Market Expansion Projected to Gain an Uptick During 2021-2027

March 7, 2021
Maza Russian cybercriminal forum suffers data breach
Internet Security

Maza Russian cybercriminal forum suffers data breach

March 7, 2021
Clinical presentation of COVID-19 – a model derived by a machine learning algorithm
Machine Learning

Clinical presentation of COVID-19 – a model derived by a machine learning algorithm

March 7, 2021
Okta and Auth0: A $6.5 billion bet that identity will warrant its own cloud
Internet Security

Okta and Auth0: A $6.5 billion bet that identity will warrant its own cloud

March 7, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • How Machine Learning Is Changing Influencer Marketing March 8, 2021
  • Video Highlights: Deep Learning for Probabilistic Time Series Forecasting March 7, 2021
  • Machine Learning Market Expansion Projected to Gain an Uptick During 2021-2027 March 7, 2021
  • Maza Russian cybercriminal forum suffers data breach March 7, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates