
L. Mahadevan
· PersonVerifiedHarvard University
Research topics
- Physics
- Biology
- Materials science
- Biophysics
- Artificial Intelligence
- Computer Science
- Cell biology
- Genetics
- Composite material
- Mechanics
- Theoretical computer science
- Anatomy
- Botany
- Evolutionary biology
- Engineering
- Geometry
- Optics
- Chemical physics
- Nanotechnology
- Biological system
- Distributed computing
Selected publications
Active entanglement enables stochastic, topological grasping
Proceedings of the National Academy of Sciences · 2022 · 118 citations
- Computer Science
- Artificial Intelligence
- Computer Science
Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception and motion planning. Here, we circumvent the need for feedback or precise planning by using an array of fluidically actuated slender hollow elastomeric filaments to actively entangle with objects that vary in geometric and topological complexity. The resulting stochastic interactions enable a unique soft and conformable grasping strategy across a range of target objects that vary in size, weight, and shape. We experimentally evaluate the grasping performance of our strategy and use a computational framework for the collective mechanics of flexible filaments in contact with complex objects to explain our findings. Overall, our study highlights how active collective entanglement of a filament array via an uncontrolled, spatially distributed scheme provides options for soft, adaptable grasping.
Matrix viscoelasticity controls spatiotemporal tissue organization
Nature Materials · 2022 · 265 citations
- Cell biology
- Biophysics
- Materials science
Evolution · 2021 · 37 citations
- Biology
- Evolutionary biology
- Botany
Interactions with animal pollinators have helped shape the stunning diversity of flower morphologies across the angiosperms. A common evolutionary consequence of these interactions is that some flowers have converged on suites of traits, or pollination syndromes, that attract and reward specific pollinator groups. Determining the genetic basis of these floral pollination syndromes can help us understand the processes that contributed to the diversification of the angiosperms. Here, we characterize the genetic architecture of a bee-to-hummingbird pollination shift in Aquilegia (columbine) using QTL mapping of 17 floral traits encompassing color, nectar composition, and organ morphology. In this system, we find that the genetic architectures underlying differences in floral color are quite complex, and we identify several likely candidate genes involved in anthocyanin and carotenoid floral pigmentation. Most morphological and nectar traits also have complex genetic underpinnings; however, one of the key floral morphological phenotypes, nectar spur curvature, is shaped by a single locus of large effect.
Mechanical Coupling Coordinates the Co-elongation of Axial and Paraxial Tissues in Avian Embryos
Developmental Cell · 2020 · 112 citations
- Biology
- Anatomy
- Cell biology
Self-Excited Motions of Volatile Drops on Swellable Sheets
Physical Review Letters · 2020 · 84 citations
Senior authorCorresponding- Materials science
- Mechanics
- Composite material
When a volatile droplet is deposited on a floating swellable sheet, it becomes asymmetric, lobed and mobile. We describe and quantify this phenomena that involves nonequilibrium swelling, evaporation and motion, working together to realize a self-excitable spatially extended oscillator. Solvent penetration causes the film to swell locally and eventually buckle, changing its shape and the drop responds by moving. Simultaneously, solvent evaporation from the swollen film causes it to regain its shape once the droplet has moved away. The process repeats and leads to complex pulsatile spinning and/or sliding movements. We use a one-dimensional experiment to highlight the slow swelling of and evaporation from the film and the fast motion of the drop, a characteristic of excitable systems. Finally, we provide a phase diagram for droplet excitability as a function of drop size and film thickness and scaling laws for the motion of the droplet.
Recent grants
NSF · $266k · 2013–2016
NSF-ANR: Developmental Mechanics Of Brain Evolution
NSF · $266k · 2022–2025
Understanding How Motile Cells Make Decisions When Subject to Multiple Chemical and Physical Cues
NSF · $400k · 2015–2019
NIH · $399k · 2010
Collective Ecophysiology and Physics of Social Insects
NSF · $474k · 2016–2020
Education
- 1995
PhD
Stanford University
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