Tuchinda’s winning project, titled The Role of Entropy in the Interfacial Cohesion of Metals and Alloys, sets its sights on a factor that conventional models of material failure have long treated as an afterthought: entropy. Entropy is a thermodynamic property related to the number of possible arrangements and motions that atoms can adopt within a material at finite temperatures. That may sound abstract, but it describes the actual environment that engineering materials face in real processing routes and real applications, where heat, vibration and atomic shuffling are unavoidable facts of life. Although scientists have spent decades studying how chemical elements accumulate along crystal boundaries and alter their strength, the entropic contributions are frequently excluded from predictive calculations altogether, simply because they are difficult and computationally expensive to account for. Tuchinda’s project aims to close that gap by developing a more complete understanding of how atomic arrangements, chemical composition and temperature jointly determine the strength of the interfaces that hold metals together.

The practical stakes of this question are enormous. Metals and alloys contain microscopic crystals separated by internal boundaries, and these boundaries can become vulnerable points where fractures begin. Chemical elements that segregate along these boundaries can either strengthen the connections between crystals or weaken them dramatically, influencing whether a material withstands mechanical stress or becomes susceptible to sudden brittle failure. Sulfur embrittling steel at high temperature, or beneficial elements toughening a superalloy, are two sides of the same atomic-scale coin. Understanding this type of mechanism, Tuchinda explained, will help materials scientists and engineers design both new processing routes and alloys that are resistant to fracture, such as advanced steels and refractory alloys intended for nuclear applications. In other words, the research could contribute to the development of stronger, more reliable materials for the demanding energy environments where failure is simply not an option.

To attack the problem, Tuchinda will deploy a toolkit that reflects the modern transformation of materials science. His approach combines advanced computer simulations, thermodynamic modeling and machine-learning-assisted techniques to disentangle the interplay between atomic structure, chemistry and temperature at internal interfaces. At NJIT he leads the Imperfection Engineering Group, a research team that uses accelerated computer modeling and simulations to investigate the structure of imperfections in crystalline materials. The group studies grain boundaries, triple junctions, which are the locations where three crystals meet, and other structural imperfections within crystalline materials, blending computational materials science, thermodynamics and data-driven modeling to understand how these features affect material behavior. Rather than treating defects as nuisances to be eliminated, the group treats them as designable features whose properties can be engineered.

The DOE award builds on a substantial foundation of published research. In a 2026 review published in the journal Acta Materialia, Tuchinda and collaborators examined advances in computational models that predict how chemical elements accumulate along grain boundaries. Their review highlights how accounting for differences in atomic environments and thermodynamic properties, including entropy, can improve predictions of material behavior and inform the design of more stable alloys. The message of that review is that the field’s predictive models have been leaving measurable accuracy on the table by ignoring entropic effects, and that correcting this omission could change how alloy designers think about stability at elevated temperatures.

Tuchinda’s earlier research, carried out during his doctoral studies at the Massachusetts Institute of Technology, investigated how alloy composition and atomic-scale interactions influence material strength and stability. Those studies examined grain-boundary embrittlement in aluminum alloys, developed large computational databases to predict how chemical elements affect interfacial cohesion, and advanced machine-learning-assisted methods for understanding atomic interactions across different alloy systems. Each of these strands feeds directly into the new DOE project. The databases provide the raw predictive machinery, the machine-learning methods accelerate the exploration of vast chemical spaces, and the embrittlement studies supply the physical intuition about how segregation translates into fracture.

The new project will also expand the scope of the research well beyond grain boundaries. Engineering alloys contain many other types of internal interfaces, including boundaries between different material phases, interfaces involving intermetallic compounds, and surfaces where reinforcing particles meet the surrounding metal matrix. The research will examine how atomic arrangements and their stability at different temperatures influence the accumulation of chemical elements at these interfaces and the strength of the connections between them. This is territory where scientists still lack comprehensive models to explain and predict what happens, which means the project could establish explanatory frameworks that do not currently exist. Success would give alloy designers a unified picture of interfacial cohesion across the full menagerie of interfaces found in real engineering materials, not just the classical grain boundaries that have dominated the literature.

The award carries institutional as well as scientific weight. This DOE project will help establish my lab and support graduate students who will further develop the future STEM workforce, and help mentor undergraduate students at NJIT, Tuchinda said. The funding arrives at a formative moment for a young research group, providing the sustained five-year horizon that fundamental computational research requires. The DOE Early Career Research Program, administered through the Office of Science, supports scientists at U.S. universities, national laboratories and user facilities pursuing fundamental research in areas central to the department’s mission, and the 2026 cohort draws its 67 scientists from 39 universities and 11 DOE national laboratories and user facilities. Tuchinda’s project was selected through the DOE Office of Basic Energy Sciences, which supports research into the fundamental properties and behavior of matter.

Tuchinda’s trajectory traces a clear line from Bangkok to Newark. He earned his bachelor’s degree in metallurgical and materials engineering from Chulalongkorn University in Thailand in 2018, then moved to MIT, where he completed his Ph.D. in materials science and engineering in 2023. Five years later he stands at the head of his own laboratory, federally funded to pursue the entropic physics of the seams that hold metals together. If his project succeeds, the atomic-scale interactions that determine whether a nuclear alloy toughens or shatters will become predictable quantities in the equations of alloy design, transforming a long-overlooked thermodynamic property into a practical engineering tool for the materials that power the nation’s energy future.

Subject of Research: Entropy-driven interfacial cohesion and failure prediction in metals and alloys

Article Title: NJIT professor selected for DOE early career award to advance research on metal failure

Article References: NJIT professor selected for DOE early career award to advance research on metal failure. Original publication (Bibliographic details unavailable.)

Image Credits: AI Generated

DOI: Not provided

Keywords: materials science, metallurgy, entropy, grain boundaries, DOE Early Career Research Program, NJIT, alloy design, brittle fracture, computational materials science, machine learning, professor, selected