Jagannadh Boddapati

I am Jagannadh Boddapati. I am currently working as a Module Development Engineer at Intel Mask Operations in Santa Clara, CA.

I recently (Aug 2024) finished my Ph.D. in Mechanical Engineering at Caltech, accompanied by a minor in Computer Science. My thesis was focused on shear-normal coupled deformations in anisotropic structured materials under the supervision of Prof. Chiara Daraio. Prior to joining Caltech, I earned my Bachelor’s with Honors in Mechanical Engineering with a minor in Microelectronics from the Indian Institute of Technology Madras in 2018. My undergraduate research focused on shape-morphing piezo composites, conducted under the guidance of Prof. Ratna Kumar Annabattula.

I possess a well-rounded skill set encompassing hands-on experimental expertise in areas such as additive manufacturing, material testing with computational skills spanning finite element analysis, machine learning, and theoretical knowledge in applied mathematics areas like linear analysis, differential equations. While I am proficient across these domains, my strength lies in leveraging computational tools to tackle complex interdisciplinary fundamental and applied research problems.

I am passionate about understanding the mechanical behavior of a diverse range of materials at various length and time scales. I developed this interest in solid mechanics while finding answers to many questions that occurred to me at various periods of my studies. The exhilarating “aha” moments when I successfully unraveled these inquiries and the delights from comprehending the underlying physics are the key factors that motivate me to delve deeper into this field. In a way, stress serves as my stress-burster.

“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” - Richard Feynman

selected publications

MatDes
Planar structured materials with extreme elastic anisotropy

Jagannadh Boddapati , and Chiara Daraio

Materials & Design, 2024

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Designing anisotropic structured materials by reducing symmetry results in unique behaviors, such as shearing under uniaxial compression. While rank-deficient materials such as hierarchical laminates have been shown to exhibit extreme elastic anisotropy, there is limited knowledge about the fully anisotropic elasticity tensors achievable with single-scale fabrication techniques. No established upper and lower bounds on anisotropic moduli exist. In this paper, we estimate the range of anisotropic stiffness tensors achieved by single-scale two-dimensional structured materials. We first develop a database of periodic anisotropic single-scale unit cell geometries using linear combinations of periodic cosine functions. The database covers a wide range of anisotropic elasticity tensors, which are then compared with the elasticity tensors of hierarchical laminates. We identify the regions in the property space where hierarchical design is necessary to achieve extremal properties. We demonstrate a method to construct various 2D functionally graded structures using this cosine function representation. These graded structures seamlessly interpolate between unit cells with distinct patterns, allowing for independent control of several functional gradients. When designed with unit cells positioned at extreme parts of the property space, these graded structures exhibit unique mechanical behaviors such as selective strain energy localization, compressive strains under tension, and localized rotations.
@article{boddapati2024planar, title = {Planar structured materials with extreme elastic anisotropy}, author = {Boddapati, Jagannadh and Daraio, Chiara}, journal = {Materials \& Design}, volume = {246}, pages = {113348}, year = {2024}, doi = {https://doi.org/10.1016/j.matdes.2024.113348}, publisher = {Elsevier}, }