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  • Computational Method to Look for Materials

    March 20, 2026

    Computational Method to Look for Materials

    Scientists have developed a powerful new computational method that could accelerate the search for next-generation materials capable of turning sunlight into useful chemical energy.

    The work focuses on polyheptazine imides, a promising class of carbon nitride materials that absorb visible light and can drive reactions such as hydrogen production, carbon dioxide conversion, and hydrogen peroxide synthesis.

    By analysing how 53 different metal ions influence the structure and electronic behaviour of these materials, researchers created a framework that predicts which combinations will perform best.

    Photocatalysis offers a promising way to convert the vast supply of sunlight into useful chemical energy. Among the materials attracting growing attention are polyheptazine imides, which have structural and functional features that make them particularly effective for photocatalytic reactions.

    Until recently, scientists had only limited insight into how changes in their structure influence their electronic and optical behaviour across the many possible materials in this family.

    Researchers led by a team at the Center for Advanced Systems Understanding (CASUS) at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) have now introduced a dependable and reproducible theoretical approach to tackle this problem.

    Their predictions were validated through measurements on real material samples. The team believes this advance could significantly accelerate research on polyheptazine imides and spark rapid growth in the field.

    Carbon Nitride Materials and Visible Light Absorption

    Polyheptazine imides belong to the broader class of carbon nitrides. These materials consist of layered structures that resemble graphene but are built from nitrogen-rich ring-shaped molecular units.

    While graphene is known for exceptional electrical conductivity, it does not function well as a photocatalyst. Polyheptazine imides differ in a crucial way.

    Their electronic band gaps allow them to absorb visible light, which makes them suitable for sunlight-driven chemical reactions.
    Carbon nitride materials also offer several practical advantages. They are relatively inexpensive to produce, non-toxic, and thermally stable. However, early versions of these materials did not perform well as photocatalysts because their internal properties limited effective charge separation.

    When a photon strikes a material, it can excite an electron and move it away from its original position, leaving behind a positively charged hole. If the electron quickly recombines with the hole, the energy is released only as heat or light instead of driving chemical reactions.

    “Polyheptazine imides containing positively charged metal ions exhibit markedly improved charge separation. This feature renders them highly suitable for practical applications,” says first author Dr. Zahra Hajiahmadi.

    Improved materials are needed to unlock the economic potential of several photocatalytic processes. These include water splitting (to produce hydrogen as a fuel), carbon dioxide reduction (to produce basic carbohydrates as fuels or industrial chemicals), and hydrogen peroxide production (as a basic industrial chemical).

    Designing a polyheptazine imide catalyst that performs well for a specific reaction requires careful control over many aspects of its structure. Creating and testing every possible material candidate in the laboratory would be unrealistic. Computational methods therefore, play an essential role in narrowing down the possibilities.

    “The design space is enormous,” explains Prof. Thomas D. Kuhne, Director of CASUS, head of the CASUS research team “Theory of Complex Systems” and senior author of the study. “One can for example add functional groups on the surface or substitute specific nitrogen or carbon atoms with oxygen or phosphorus atoms.” Kuhne’s research group is developing advanced numerical techniques designed to be both efficient and capable of accurately reproducing the chemical and physical behaviour of complex materials.

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