welcome to the living matter lab!
we integrate physics-based modeling with machine learning and create interactive simulation tools to understand, explore, and predict the dynamics of living systems
discovering the mechanics of artificial meat
we explore artificial meat using tension, compression, and shear tests and discover the model and parameters that best explain its behavior to inform the design of more authentic meat substitutes that are sustainable and environmentally friendly while still offering the familiar taste and texture of traditional meat
learn moredemocratizing simulation through automation
we democratize constitutive modeling through automated model discovery, embedded in a universal material subroutine, to make scientific simulations accessible to a more inclusive and diverse community, and accelerate the design of new functional materials with tailored properties
integrating bayesian inference, neural networks, and physics
we integrate data, physics, and uncertainties by combining neural networks, physics informed modeling, and bayesian inference to improve the predictive potential of traditional neural network models.
learn morecan we reverse engineer an elephant trunk?
we explore the active filament theory that efficiently correlates fiber stretch and orientation to the intrinsic curvature of slender structures to robustly solve inverse problems in soft robotics inspired by natural manipulators such as the elephant trunk
learn morein the news
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