
Dengpan Dong studies how matter behaves at the molecular scale, including ion transport, phase transitions, reaction networks, materials mechanics, interfacial behavior, and how that understanding becomes principles engineers can derive and design with.
He builds the tools that make this possible: interatomic potentials, both classical and machine-learned, with agentic workflows that automate their training and deployment; automated simulation pipelines; generative models built on hierarchical diffusion; and selective-precision methods for computational acceleration. He is currently a Staff AI Research Scientist at SES AI, following a Ph.D. at the University of Utah and postdoctoral work at Oak Ridge National Laboratory.

Science never evolves alone. Instead, the interchangable pattern exist between science, engineering and our life. Science is driven by curiosity, which is generated during our life, and linked together by engineering.

In today's complex landscape, challenges span across multiple scales in a multi-dimensional space. Macroscopic events often have their origins in microscopic interactions. Understanding these finer details often requires a top-down approach, emphasizing that neither the vast expanse of BIG science nor the intricate details of SMALL science operate in isolation. Instead, they work in tandem, propelling us toward new scientific discoveries.

Science makes a difference not only within its community but also profoundly influences human society and our interpretation of the world. Its impacts can be immediate or long-lasting. Some long-term impacts arise from groundbreaking discoveries, while others emerge from the gradual evolution of scientific thought. In my view, merely chasing the impact of science isn't the proper approach. Instead, a relentless dedication to continuous discovery is essential. Discover more about the influence of science in my story here.
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