
Akash Ramdas
Materials scientist focused on computational materials discovery
Network
3.9K connectionsNetwork
3.9K connectionsSummary
Work
Education
Projects
Writing
Surface conduction and reduced electrical resistivity in ultrathin noncrystalline NbP semimetal
January 1, 2025Study reporting that ultrathin (sub-5 nm) noncrystalline niobium phosphide films show reduced resistivity due to surface conduction channels, with implications for ultrathin conductors in nanoelectronics.
Targeted materials discovery using Bayesian algorithm execution
July 1, 2024Framework for creating custom acquisition functions for sequential experimental design, enabling targeted materials discovery via Bayesian algorithm execution.
Predicting Reactivity and Passivation of Solid-State Battery Interfaces
January 1, 2024Work developing a data-driven model trained on ab initio molecular dynamics data to predict chemical reactivity of Li|solid-state electrolyte interfaces, identifying new candidate stable and passivating electrolytes.
Multi‑Objective Optimization for Rapid Identification of Novel Compound Metals for Interconnect Applications
January 1, 2024Research on multi-objective optimization approaches for fast identification of compound metals for interconnect applications (publication listed with Akash Ramdas as an author).
Preparing for Product Interviews (A Product-ive Guide to Landing a Job in PM) — contribution
June 1, 2023Contributed to a book/guide on preparing for product management interviews; event listing notes contribution by Akash Ramdas and Advaith Sridhar.