by U-M MICDE | Feb 23, 2023
The research team will use deep neural networks to infer molecular phylogenies and extract phylogenetically useful patterns from amino acid or nucleotide sequences, which will help understand evolutionary mechanisms and build evolutionary models for a variety of...
by U-M MICDE | Feb 23, 2023
To understand the mechanisms driving the population dynamics of pollinators, the research team will develop technologies for deeply embedded hardware/software learning systems capable of remote, long term, autonomous operation; and will analyze the resulting new data...
by U-M MICDE | Feb 23, 2023
Researchers will further develop a 3-D mesh adaptation model for climate modeling, allowing computational resources to be focused on phenomena of interest such as tropical cyclones or other extreme weather events. The project will also introduce data-driven machine...
by U-M MICDE | Feb 23, 2023
The team will develop a set of algorithms for use on high performance computers to analyze de-identified brain data from patients in order to better understand what electrical oscillations tell us about rapidly changing behavioral and pathological brain states. When...
by U-M MICDE | Feb 23, 2023
Despite substantial advances in civil engineering in the modern era, urbanized areas are vulnerable to extreme flooding, since urban drainage and stormwater management infrastructure are generally designed for flows of 10-20 year return periods. Flooding in densely...
by U-M MICDE | Feb 23, 2023
The graceful swimming of a jellyfish, the locomotion of a snail, and the beating of our hearts are inspiring examples of machines made from soft materials. While examples abound in nature, we lack the technology to fabricate our own soft machines. The great promise of...
by U-M MICDE | Feb 23, 2023
The research team will design quantum embedding algorithms that can be early adopters of quantum computers on development of advanced materials for possible applications in modern batteries, next-generation oxide electronics, or high-temperature superconducting power...
