28 citations · 34 across the 3 of their papers we have counts for
6 papers
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors
Liwei Wang, Suraj Yerramilli, Akshay Iyer +3
Scientific and engineering problems often require the use of artificial intelligence to aid understanding and the search for promising designs. While Gaussian processes (GP) stand…
Featureless adaptive optimization accelerates functional electronic materials design
Yiqun Wang, Akshay Iyer, Wei Chen +1
Electronic materials exhibiting phase transitions between metastable states (e.g., metal-insulator transition materials with abrupt electrical resistivity transformations) are chal…
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods
Akshay Iyer, Biswadip Dey, Arindam Dasgupta +2
Microstructures of a material form the bridge linking processing conditions - which can be controlled, to the material property - which is the primary interest in engineering appli…
Designing Anisotropic Microstructures with Spectral Density Function
Akshay Iyer, Rabindra Dulal, Yichi Zhang +4
Materials' microstructure strongly influences its performance and is thus a critical aspect in design of functional materials. Previous efforts on microstructure mediated design mo…
Elongated Nano Domains and Molecular Intermixing induced Doping in Organic Photovoltaic Active Layers with Electric Field Treatment
Rabindra Dulal, Akshay Iyer, Umar Farooq Ghumman +5
The effects of the electric-field-assisted annealing on the bulk heterojunction nano-morphology in the P3HT/PCBM active layer of the organic photovoltaic cells (OPVCs) are presente…
Data-Centric Mixed-Variable Bayesian Optimization For Materials Design
Akshay Iyer, Yichi Zhang, Aditya Prasad +5
Materials design can be cast as an optimization problem with the goal of achieving desired properties, by varying material composition, microstructure morphology, and processing co…