This $232,250 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports theoretical and computational research and education to enhance the accuracy and efficiency of first-principles quantum mechanical simulations for materials design. The research team at Stony Brook University aims to develop innovative approximations to the exact functional using advanced machine learning techniques. Key objectives include...
This Project Grant award, valued at $370,000.00, was provided by the National Science Foundation (NSF) through its Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports fundamental and applied research to advance the understanding of random matrices, which have significant applications across physics, data science, and mathematics. The key objectives of this award are to: (1) develop new probabilistic techniques for the analysis of random matrix models and their...
This $142,013 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (MPS) program (CFDA 47.049) supports research conducted by New York University (NYU) on the development of new mathematical methods for analyzing complex physical systems with behaviors across multiple length scales. The primary goals of this 3-year project are to: 1) improve quantitative homogenization theory to better account for key parameters and allow for more flexible...
This $100,011 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research on stochastic growth models and mathematical structures called line ensembles, which have applications in fields ranging from magnetization to protein synthesis. The research aims to expand knowledge of line ensembles and related techniques, leading to solutions for previously intractable problems. The award includes organizing conferences...
This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $150,843 to the University of Wisconsin-Madison for the development of an experimental framework to enhance large language models (LLMs) for materials science hypothesis generation. The project aims to expand the capabilities of LLMs by enabling them to ingest and learn from diverse data formats beyond just text, such as microscopy images, X-ray diffraction...
This $350,000 federal Project Grant was awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The goal of the research is to develop accurate mathematical models and computer simulations for studying non-equilibrium systems with memory effects, such as those found in biosystems, plasma evolution, and solid-state nanostructures. The Principal Investigator will focus on analytical and numerical approaches to statistical transport...
This Project Grant award, valued at $300,000.00, was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award supports research to advance the understanding of three classes of nonlinear partial differential equations that model emergent phenomena, conservation laws, and the pressure-less early universe model. The project aims to develop novel paradigms to address open questions regarding the existence,...
The National Science Foundation awarded New York University a $201,408 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) for the period of September 1, 2021 through August 31, 2023. The grant funds the EAGER: ADAPT project, which will develop AI-enhanced sampling techniques to advance computational methods in lattice field theory and related areas of mathematical, statistical and computational physics. By applying machine learning to sampling...
This $248,461 Project Grant award was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award will support research to efficiently design patchy particles for targeted assembly of bulk and finite soft materials structures, using state-of-the-art data-driven methods. The project aims to develop a fast design pipeline for building blocks that could potentially be synthesized in a laboratory environment. The...
This $300,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) funds research and education into the study of novel materials with strong interactions between particles that give rise to unique and complex behaviors. The research aims to develop new theoretical tools to better understand and predict these unusual states of matter, focusing on understanding the patterns of quantum entanglement that can arise in strongly...
This Project Grant award, with a total funding amount of $280,000.00, was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award supports computational and theoretical research at New York University (NYU) aimed at efficiently sampling complex energy landscapes, predicting nonequilibrium entropies, and predicting the structure of novel inorganic crystals. The research objectives are to elucidate the relationship between structural regularities in material systems and the number of available states, as well as to quantify the richness of compositional and structural diversity achievable by generative models for materials discovery. The project also integrates its research program to modernize the NYU undergraduate physics curriculum, promote interdisciplinarity in education, and advance research education in molecular simulation. The award period runs from March 1, 2025 to February 28, 2030.