Machine Learning Apps

Under Development Apps

Smart_pH Inactive

Universal pH estimation via ANN from images of different six type of pH ( 1, bock; 2 block, and 4-block indicator) strips.

  • Inputs: Camera/Upload → crop → color stats (mean/median/mode)
  • Model: deep learrining ANN
  • Output: Predicted pH value
Soon
TPA-Based Dyes in DSSCs Inactive

Design and Predict the Potential of Triphenyle amine-Based Organic Dyes in Dye-Sensitized Solar Cells Using ANN Learning

  • Inputs: SMILE Structure
  • Model: ANN Learning
  • Output: Power conversion efficiency (PCE%)
  • Scintific Paper : under submition
||| Model Info Launch App | Demo

Completed Apps

Dye Max.Abs./TiO2Active

High-Throughput Deep Learning Prediction of D-Ï€-A Dye Absorption Maxima on Titania Surfaces

  • Inputs: SMILE Structure
  • Model: deep learrining ANN
  • Output: Absorption Maxima on Titania Surface
  • Scintific Paper DOI: 10.1002/slct.202501556
||| Launch App Scintific paper
Dye Max.Abs./ Solvents Active

Ultra-fast prediction of D-Ï€-A organic dye absorption maximum with advanced ensemble deep learning models.

  • Inputs: SMILE Structure
  • Model: deep learrining ANN
  • Output: Absorption Maxima on solvents
  • Scintific Paper DOI: 10.1016/j.saa.2024.125536
||| Launch App Scintific Paper
Imidazole-Based Dyes in DSSCs Active

Design and Predict the Potential of Imidazole-Based Organic Dyes in Dye-Sensitized Solar Cells Using Fingerprint Machine Learning

  • Inputs: SMILE Structure
  • Model: MLP Regressor
  • Output: Power conversion efficiency (PCE%)
  • Scintific Paper DOI: 10.1038/s41598-024-76739-6
||| Launch App Scintific Paper
pH-value Estimator (limited) Active

Facile and highly precise pH-value estimation using common pH paper based on machine learning techniques and supported mobile devices

  • Inputs: Camera/Upload
  • Model: ML KNN
  • Output: Predicted pH value
  • Scintific Paper DOI: 10.1038/s41598-022-27054-5
||| Launch App Scintific Paper