Web App
CRSSI
Predicting the passivation current density (ipass) of Cr-passivated Fe-based alloys (including stainless steels) as a function of chemical composition, environmental conditions, and phase fractions.
Products
What we have built
Research Products
Code, datasets, and web apps that come out of our published work.
Software/Data
Expert-Grounded Prompt Engineering for Lattice Constant Extraction
Repository for expert-grounded prompt engineering that extracts lattice constants of high-entropy alloys from scientific publications using large language models.
Web App
AIRHEAD
Predicting phase and mechanical properties of multi-principal element alloys (including high entropy alloys) using a suite of ML methods.
Web App
CVD MoS2 ML
Predicting the formation of monolayer MoS2 as a function of CVD parameters using ML methods.
Web App
Electrocalorics
Predicting adiabatic temperature change (ΔT) as a function of chemical composition, temperature, phase, and applied electric field (E) in barium titanate-based ferroelectrics.
Web App
Multicalorics
Predicting magnetostructural transition temperature and hysteresis as a function of chemical composition in MnNiSi-based multicaloric materials.