activity
20192022
most citedFeatureless adaptive optimization accelerates functional electronic materials design

43 citations · 150 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ML2022

Fully Bayesian inference for latent variable Gaussian process models

Suraj Yerramilli, Akshay Iyer, Wei Chen +1

Real engineering and scientific applications often involve one or more qualitative inputs. Standard Gaussian processes (GPs), however, cannot directly accommodate qualitative input…

stat.ML2022★ 35 cited

Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design

Hengrui Zhang, Wei Wayne Chen, Akshay Iyer +2

Data-driven design shows the promise of accelerating materials discovery but is challenging due to the prohibitive cost of searching the vast design space of chemistry, structure,…

cs.LG2021★ 2 cited

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…

cond-mat.mtrl-sci2020★ 43 cited

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…

eess.IV2019★ 28 cited

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…

physics.app-ph2019★ 34 cited

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…

physics.app-ph2019★ 4 cited

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…

physics.comp-ph2019★ 4 cited

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…