MEAM

Uncertainty quantification is a recent emerging interdisciplinary area that leverages the power of statistical methods, machine learning models, numerical methods and data-driven approach to provide reliable inference for quantities of interest in natural science and engineering problems. In practice, the sources of uncertainty come from different aspects such as: aleatoric uncertainty where the uncertainty comes […]

Rapid, sensitive, and specific detection of causative pathogens is key to personalized medicine and the prompt implementation of appropriate mitigation measures to reduce disease transmission, mortality, morbidity, and cost. Conventional molecular detection methods require trained personnel, sophisticated equipment, and specialized laboratories, which limits their use to centralized laboratories. To enable molecular diagnostics at the point […]

Amorphous solids, those composed of haphazardly arranged constituents, are found everywhere from our windows as silicate glass, in the ground and foundations as mud and concrete, and our grocery stores as granular piles of oranges. Even though they can be found over a huge range of length scales, it remains a challenge to systematically design […]

In many cases, the size and weight of energy storage technologies required to power robotic systems are too large or massive for a robot to carry, leading to limited operational times and long recharging times over which the robot remains unused. Computer-free autonomous decision making based on environmental cues provides exciting alternatives to classic control […]

We discuss mechanical behavior of specific fibrous network materials, including the evolution of tension in fibrin clots, compression of pulmonary emboli, and fracture of Whatman filter paper. The first material, fibrin clots, consist of random networks of fibrin fibers. When clots form by polymerization they develop tensile pre-stresses. We construct a mathematical model for the […]