• Latest
  • Trending
Using artificial intelligence to advance energy technologies

Using artificial intelligence to advance energy technologies

November 30, 2021
ATC Ghana supports Girls-In-ICT Program

ATC Ghana supports Girls-In-ICT Program

April 25, 2023
Vice President Dr. Bawumia inaugurates  ICT Hub

Vice President Dr. Bawumia inaugurates ICT Hub

April 2, 2023
Co-Creation Hub’s edtech accelerator puts $15M towards African startups

Co-Creation Hub’s edtech accelerator puts $15M towards African startups

February 20, 2023
Data Leak Hits Thousands of NHS Workers

Data Leak Hits Thousands of NHS Workers

February 20, 2023
EU Cybersecurity Agency Warns Against Chinese APTs

EU Cybersecurity Agency Warns Against Chinese APTs

February 20, 2023
How Your Storage System Will Still Be Viable in 5 Years’ Time?

How Your Storage System Will Still Be Viable in 5 Years’ Time?

February 20, 2023
The Broken Promises From Cybersecurity Vendors

Cloud Infrastructure Used By WIP26 For Espionage Attacks on Telcos

February 20, 2023
Instagram and Facebook to get paid-for verification

Instagram and Facebook to get paid-for verification

February 20, 2023
YouTube CEO Susan Wojcicki steps down after nine years

YouTube CEO Susan Wojcicki steps down after nine years

February 20, 2023
Inaugural AfCFTA Conference on Women and Youth in Trade

Inaugural AfCFTA Conference on Women and Youth in Trade

September 6, 2022
Instagram fined €405m over children’s data privacy

Instagram fined €405m over children’s data privacy

September 6, 2022
8 Most Common Causes of a Data Breach

5.7bn data entries found exposed on Chinese VPN

August 18, 2022
  • Consumer Watch
  • Kids Page
  • Directory
  • Events
  • Reviews
Thursday, 19 June, 2025
  • Login
itechnewsonline.com
  • Home
  • Tech
  • Africa Tech
  • InfoSEC
  • Data Science
  • Data Storage
  • Business
  • Opinion
Subscription
Advertise
No Result
View All Result
itechnewsonline.com
No Result
View All Result

Using artificial intelligence to advance energy technologies

by ITECHNEWS
November 30, 2021
in Data Science
0 0
0
Using artificial intelligence to advance energy technologies

Hongliang Xin, an associate professor of chemical engineering in the College of Engineering, and his collaborators have devised a new artificial intelligence framework that can accelerate discovery of materials for important technologies, such as fuel cells and carbon capture devices.

Titled “Infusing theory into deep learning for interpretable reactivity prediction,” their paper in the journal Nature Communications details a new approach called TinNet—short for theory-infused neural network—that combines machine-learning algorithms and theories for identifying new catalysts. Catalysts are materials that trigger or speed up chemical reactions.

YOU MAY ALSO LIKE

5.7bn data entries found exposed on Chinese VPN

Introduction to Google Firebase: Firestore using Python

TinNet is based on deep learning, also known as a subfield of machine learning, which uses algorithms to mimic how human brains work. The 1996 victory of IBM’s Deep Blue computer over world chess champion Garry Kasparov was one of the first advances in machine learning. More recently, deep learning has played a major role in the development of technologies such as self-driving cars.

Xin and his colleagues want to put machine learning to use in the field of catalysis for developing new and better energy technologies and products to improve daily life. 

“About 90 percent of the products you see today are actually coming from catalysis,” Xin said. The trick is finding the efficient and robust catalysts for each application, and finding new ones can be difficult.

“Understanding how catalysts interact with different intermediates and how to control their bond strengths to be in the Goldilocks Zone is absolutely the key to designing efficient catalytic processes,” Xin said. “And our study provides a tool exactly for that.”

Machine-learning algorithms can be helpful because they identify complex patterns in big data sets, something humans are not very good at, Xin said. But deep learning has limitations, especially when it comes to predicting highly complex chemical interactions—a necessary part of finding materials for a desired function. In these applications, sometimes deep learning fails, and it may not be clear why.

“Most of the machine-learning models developed for material properties prediction or classification are often considered ‘black boxes‘ and provide limited physical insights,” chemical engineering graduate student and paper co-author Hemanth Pillai said. 

“The TinNet approach extends its prediction and interpretation capabilities, both of which are crucial in catalyst design.” said Siwen Wang, also a chemical engineering graduate student and co-author of the study.

A hybrid approach, TinNet combines advanced theories of catalysis with artificial intelligence to help researchers peer into this “black box” of material design to understand what is happening and why, and it could help researchers break new ground in a number of fields. 

“Hopefully we can make this approach generally accessible to the community and others can use the technique and really further develop the technique for renewable energy and decarbonization technologies that are crucial for the society,” Xin said. “I think this is really the key technology that could make some breakthroughs.”

Luke Achenie, a professor of chemical engineering specializing in machine learning, collaborated with Xin on the project, as well as graduate student Shih-Han Wang, who helped author the paper. Now the team is working on applying TinNet to their catalysis work. Andy Athawale, an undergraduate chemical engineering student, has joined the effort.

“I really love to see the different aspects of chemical engineering outside of the course of classes,” Athawale said. “It has a lot of applications, and you know, it could be really revolutionary. So it’s just amazing to be part of it.”

by Tonia Moxley,  Virginia Tech

ShareTweetShare
Plugin Install : Subscribe Push Notification need OneSignal plugin to be installed.

Search

No Result
View All Result

Recent News

ATC Ghana supports Girls-In-ICT Program

ATC Ghana supports Girls-In-ICT Program

April 25, 2023
Vice President Dr. Bawumia inaugurates  ICT Hub

Vice President Dr. Bawumia inaugurates ICT Hub

April 2, 2023
Co-Creation Hub’s edtech accelerator puts $15M towards African startups

Co-Creation Hub’s edtech accelerator puts $15M towards African startups

February 20, 2023

About What We Do

itechnewsonline.com

We bring you the best Premium Tech News.

Recent News With Image

ATC Ghana supports Girls-In-ICT Program

ATC Ghana supports Girls-In-ICT Program

April 25, 2023
Vice President Dr. Bawumia inaugurates  ICT Hub

Vice President Dr. Bawumia inaugurates ICT Hub

April 2, 2023

Recent News

  • ATC Ghana supports Girls-In-ICT Program April 25, 2023
  • Vice President Dr. Bawumia inaugurates ICT Hub April 2, 2023
  • Co-Creation Hub’s edtech accelerator puts $15M towards African startups February 20, 2023
  • Data Leak Hits Thousands of NHS Workers February 20, 2023
  • Home
  • InfoSec
  • Opinion
  • Africa Tech
  • Data Storage

© 2021-2022 iTechNewsOnline.Com - Powered by BackUPDataSystems

No Result
View All Result
  • Home
  • Tech
  • Africa Tech
  • InfoSEC
  • Data Science
  • Data Storage
  • Business
  • Opinion

© 2021-2022 iTechNewsOnline.Com - Powered by BackUPDataSystems

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
Go to mobile version