Labs and Centers
ARM’s focus is the development of robotic assistants (mobile manipulators and humanoids) with the goal of deployment for service tasks that may be highly dynamic and require dexterity, situational awareness and human-robot collaboration.
Monroe Kennedy III
Modeling and control of dextrous manipulation with robotic and teleoperated hands; force and tactile feedback in telemanipulation and virtual environments. Located at Building 02-660 Rm 132.
Developing principles and tools to realize advanced robotic and human-machine systems capable of haptic (touch) interaction.
Bldg 520, Room 145. In this unique facility, the ME Department holds undergraduate project-based classes, and offers our students the opportunity to build and collaborate.
Darve Research Group
Prof. Darve's focus is on numerical linear algebra (fast linear solvers, fast QR factorization, eigenvalue solvers, applications in geoscience and electric power grid), physics-informed machine learning (inverse modeling using PhysML, auto-encoders, GAN for uncertainty in predictive and inverse modeling, Kriging and statistical inversing, applications in geoscience, fluid mechanics and computational mechanics), anomaly detection (GAN-based algorithms, self-supervised machine learning, applications with Ford and SLAC linear accelerator), reinforcement learning for engineering applications (optimal control, application in 3D metal printing).
We conduct basic and applied research in complex turbulent flows motivated by problems in a variety of areas including gas turbine cooling, volcanic eruptions, renewable energy systems, cardiovascular diseases, and atmospheric dispersion of contaminants.
It is our goal to advance the state of the art in computational and theoretical fluid dynamics, with a particular emphasis on problems of practical interest to mechanical and aerospace engineers, including high-speed propulsion, aircraft noise, wind energy, and inertial confinement fusion.
The High Performance Computing Center (HPCC) at Stanford University is an entirely self sustaining academic service center run primarily by undergraduate students. Through this Center, undergraduate students get an intensive learning experience and have the opportunity to work on production HPC systems, which has a significant positive impact on their future careers.
Steve Jones, Director
The HTGL houses research on high temperature, high speed and reacting flows. The lab includes several shock tubes for study of both high-speed flows and reaction kinetics, a supersonic combustion wind tunnel, a large plasma torch, several high-vacuum chambers, a research furnace, several smaller combustion facilities and extensive laser-diagnostics capabilities.
A unique facility that represents the culture of innovation at Stanford, the Loft is the workspace for students in Stanford’s Design Impact Graduate Program.
We are interested in fluid dynamic processes that involve strong coupling with mass transport and commonly involve turbulence and chaos. Our goal is to develop simple understanding of such processes that enables development of predictive models appropriate for design optimization and engineering analysis.
We are a newly established group in Stanford's Mechanical Engineering Department led by Prof. Michaëlle N. Mayalu. Prof. Mayalu's background in control theory drives the lab’s mission to establish novel computational, dynamical systems, and control theoretic tools for understanding, controlling, and predicting responses of biological systems with respect to healthcare. Specifically, we investigate how to optimize biomedical therapeutic designs using theoretical and computational approaches coupled with experiments.
Predicting mechanical strength of materials through theory and simulations of defect microstructures across atomic, mesoscopic and continuum scales; developing new atomistic simulation methods for long time-scale processes, such as crystal growth and self-assembly.
Our lab leverages the physical regimes associated with micro- and nanoscale transport to design and optimize novel fluidic systems. We design, model, build, and experimentally study a wide variety of devices with applications ranging from biotechnology of the water/energy nexus.