Commentary - From Foundation to Future

Lawrence Livermore sets its focus on what is next and needed for the nation. Our researchers explore materials for batteries, chemical conversion and storage, and other technologies to address growing energy needs; downselect promising therapeutic candidates to cure disease; test theories to explain the origins of the universe; and advance production and manufacturing methods to help support stockpile modernization, among many other research topics. Every experiment or simulation begins with fundamental science. The Laboratory’s strength lies in advancing and applying foundational knowledge and principles to solve the nation’s most consequential challenges. 

This issue of Science & Technology Review features the impact of one such principle, density functional theory (DFT), on nearly every aspect of the Laboratory’s research. DFT, based in quantum mechanics, is used to calculate the electronic structure of atoms, molecules, and solids by considering the whole of electron density rather than multiple electron wave functions. In other words, DFT simplifies the problem of many-particle quantum systems, enabling accurate predictions and interpretations of material behavior in systems with hundreds or thousands of atoms. In the 1960s, Walter Kohn and colleagues helped establish DFT’s foundations, which were refined in the 1990s, earning Kohn the Nobel Prize in Chemistry. 

While DFT may ring a dim bell for many, even those who pursued science careers, its impact as a foundational modeling tool in computational materials science is ubiquitous. DFT is especially important at the Laboratory because it helps fill gaps where trial-and-error, experimental proof would be too difficult or resource-intensive to achieve. Many mission-relevant problems involve extreme conditions in which reliable experimental data is limited. In these cases, DFT provides trusted atomistic insight that can guide interpretation and design of experiments. Within the Physical and Life Sciences (PLS) Principal Directorate alone, DFT underpins much of the computational materials science effort relevant to essential updates in materials for batteries, catalysis, critical element extraction, hydrogen storage, fusion energy, quantum devices, and optoelectronics as well as needs in projects outside of PLS, especially equation-of-state work. Experiments to characterize materials often depend on quantum transitions, and DFT provides a practical balance of accuracy and efficiency for connecting signals to atomic structure. DFT supports researchers as they interpret experimental outcomes, for example, explaining spectroscopy measurements such as x-ray, optical, electron, and nuclear magnetic resonance. 

The feature article describes key areas in which DFT has expanded Laboratory discoveries such as the composition of planets in our solar system, the behavior of weapon stockpile-relevant metals, and characteristics of atoms themselves, which inform insights into fission energy and nuclear material detection. Emphasized as well is Lawrence Livermore’s role in advancing DFT applications with efforts such as SPARC code development to solve DFT equations with increased speed and accuracy. DFT is increasingly used to train and validate machine-learning models for future applications such as materials design for fusion, quantum information systems, and other advanced technologies.

This issue’s three science highlights align with materials science and the continuing impact of DFT on computational science. The first updates readers on the Laboratory’s growing use of large language models (LLMs) and adoption of other AI tools. LLM usage at Livermore has climbed sharply to more than 80 billion tokens per month, and a Laboratory-developed LLM solution has gained broad acceptance from staff. The second describes new, user-friendly code—the alloy optimization software, or TAOS—based on established computational thermodynamics methods to rapidly develop candidates for tailored material alloys. The third presents the High Performance Software Foundation, an external organization uniting Department of Energy national laboratories, academia, and industry to support an expanding list of open-source software run on ever more powerful computing systems. 

From predicting the properties of materials to informing stockpile stewardship, DFT has become an indispensable tool in Lawrence Livermore’s scientific toolkit. Its success reflects the Laboratory’s ability to translate advances in fundamental science into mission impact, helping ensure a safe, secure, and effective deterrent while opening new avenues for discovery.