• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Friday, August 29, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Chemistry

New data-driven model rapidly predicts dehydrogenation barriers in solid-state materials

Bioengineer by Bioengineer
May 17, 2024
in Chemistry
Reading Time: 3 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

Researchers have developed a groundbreaking data-driven model to predict the dehydrogenation barriers of magnesium hydride (MgH2), a promising material for solid-state hydrogen storage. This advancement holds significant potential for enhancing hydrogen storage technologies, a crucial component in the transition to sustainable energy solutions.

Figure 1

Credit: Hao Li et al.

Researchers have developed a groundbreaking data-driven model to predict the dehydrogenation barriers of magnesium hydride (MgH2), a promising material for solid-state hydrogen storage. This advancement holds significant potential for enhancing hydrogen storage technologies, a crucial component in the transition to sustainable energy solutions.

Hydrogen, recognized for its versatility and clean energy potential, can be produced from various renewable sources. Solid-state hydrogen storage materials, particularly MgH2, are considered prime candidates for efficient hydrogen storage due to their high storage capacity and resource abundance. However, despite extensive research over the past five decades, the material properties of MgH2 have yet to meet the performance targets set by the US Department of Energy (US-DOE).

The key challenge lies in understanding the fundamental principles of solid-state hydrogen storage reactions. Current methods to assess the efficiency of hydrogen storage materials rely on dehydrogenation enthalpy and energy barriers, with the latter being particularly complex and computationally intensive to calculate. Traditional transition state search techniques, though refined over time, remain costly and time-consuming, limiting the pace of discovery and optimization.

To address this, the research team has introduced a model that predicts the dehydrogenation barriers using easily computable parameters: the crystal Hamilton population orbital of the Mg-H bond and the distance between atomic hydrogen atoms. By deriving a distance-energy ratio, the model captures the essential chemistry of the reaction kinetics with significantly lower computational demands than conventional methods.

“Our model offers a faster, more efficient way to predict the dehydrogenation performance of hydrogen storage materials,” said Hao Li, associate professor at Tohoku University’s Advanced Institute for Materials Research (WPI-AIMR) and corresponding author of the paper. “This allows us to bridge the knowledge gap left by experimental techniques and accelerate the development of high-performance hydrogen storage solutions.”

The model’s predictive power was validated against typical experimental measurements, showing excellent agreement and providing clear design guidelines to enhance the performance of MgH2. This breakthrough not only propels magnesium hydride closer to the US-DOE targets but also sets the stage for broader applications in other metal hydrides.

The research team plans to extend the model’s application beyond magnesium-based materials. The flexibility of the model’s variables allows for rapid recalibration to different metal hydrides, potentially facilitating the discovery of new composite materials and innovative solid-state hydrogen storage solutions.

“By adapting our model to various metal hydrides, we can expedite the exploration and optimization of hydrogen storage materials, paving the way for cleaner and more efficient energy systems,” added Li.

About the World Premier International Research Center Initiative (WPI)

The WPI program was launched in 2007 by Japan’s Ministry of Education, Culture, Sports, Science and Technology (MEXT) to foster globally visible research centers boasting the highest standards and outstanding research environments. Numbering more than a dozen and operating at institutions throughout the country, these centers are given a high degree of autonomy, allowing them to engage in innovative modes of management and research. The program is administered by the Japan Society for the Promotion of Science (JSPS).

See the latest research news from the centers at the WPI News Portal: https://www.eurekalert.org/newsportal/WPI

Main WPI program site:  www.jsps.go.jp/english/e-toplevel

 

Advanced Institute for Materials Research (AIMR)

Tohoku University

Establishing a World-Leading Research Center for Materials Science

AIMR aims to contribute to society through its actions as a world-leading research center for materials science and push the boundaries of research frontiers. To this end, the institute gathers excellent researchers in the fields of physics, chemistry, materials science, engineering, and mathematics and provides a world-class research environment.

 



Journal

Angewandte Chemie International Edition

DOI

10.1002/anie.202320151

Article Title

Picturing the Gap Between the Performance and US-DOE’s Hydrogen Storage Target: A Data-Driven Model for MgH2 Dehydrogenation

Article Publication Date

25-Apr-2024

Share12Tweet8Share2ShareShareShare2

Related Posts

blank

Innovative Pimple Patches Offer Effective Solution for Stubborn Acne

August 29, 2025

Revealing the Unseen: A Breakthrough Method to Enhance Nanoscale Light Emission

August 29, 2025

Fluorescent Smart Eye Patch Revolutionizes Monitoring of Eye Health

August 29, 2025

Protective Dual Shell Extends Lifespan of Lithium-Rich Batteries

August 29, 2025

POPULAR NEWS

  • blank

    Breakthrough in Computer Hardware Advances Solves Complex Optimization Challenges

    151 shares
    Share 60 Tweet 38
  • Molecules in Focus: Capturing the Timeless Dance of Particles

    142 shares
    Share 57 Tweet 36
  • New Drug Formulation Transforms Intravenous Treatments into Rapid Injections

    116 shares
    Share 46 Tweet 29
  • Neuropsychiatric Risks Linked to COVID-19 Revealed

    82 shares
    Share 33 Tweet 21

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Pregabalin May Cause Rare Visual Hallucinations

Enhancing Cone-Beam CT: GANs Improve Image Quality

Top Home Nutrition Tips for Post-Gastric Surgery

  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

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
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.