arrow
Back
T

Tom K. Woo

university of ottawa

58H-index
244Paper Count
1.4WCitation Count
Published Papers 90
Publication Date
How well do conventional atomistic simulations predict adsorption binding sites in metal–organic frameworks compared to experiment?
err2026-04-03
err0
errOAAI
errJake Burner †; Olivier Marchand †; Sari Warshawsky; Marco Gibaldi; Tom K. Woo
errShare
errSave
Generalizable classification of crystal structure error types using graph attention networks
err2025-09-30
err0
errOAAI
errMarco Gibaldi; Jun Luo; Andrew J. White; R. Alex Mayo; Cécile Pereira; Tom K. Woo
errShare
errSave
MEPO-ML: a robust graph attention network model for rapid generation of partial atomic charges in metal-organic frameworks
err2024-09-18
err1
errOAAI
errLuo, Jun; Said, Omar Ben; Xie, Peigen; Gibaldi, Marco; Burner, Jake; Pereira, Cecile; Woo, Tom K.
errShare
errSave
Hydrogen Adsorption in Ultramicroporous Metal-Organic Frameworks Featuring Silent Open Metal Sites
err2023-11-01
err2
errOAAI
errChiu, Nan Chieh; Compton, Dalton; Gladysiak, Andrzej; Simrod, Scott; Khivantsev, Konstantin; Woo, Tom K.; Stadie, Nicholas P.; Stylianou, Kyriakos C.
errShare
errSave
ARC-MOF: A Diverse Database of Metal-Organic Frameworks with DFT-Derived Partial Atomic Charges and Descriptors for Machine Learning
err2023-01-20
err51
errOAAI
errBurner, Jake; Luo, Jun; White, Andrew; Mirmiran, Adam; Kwon, Ohmin; Boyd, Peter G.; Maley, Stephen; Gibaldi, Marco; Simrod, Scott; Ogden, Victoria; Woo, Tom K.
errShare
errSave
Inverse design of nanoporous crystalline reticular materials with deep generative models
err2021-01-11
err236
errOAAI
errYao, Zhenpeng; Sanchez-Lengeling, Benjamin; Bobbitt, N. Scott; Bucior, Benjamin J.; Kumar, Sai Govind Hari; Collins, Sean P.; Burns, Thomas; Woo, Tom K.; Farha, Omar K.; Snurr, Randall Q.; Aspuru-Guzik, Alan
errShare
errSave
High-Performing Deep Learning Regression Models for Predicting Low-Pressure CO2 Adsorption Properties of Metal-Organic Frameworks
err2020-12-09
err65
PREAI
errBurner, Jake; Schwiedrzik, Ludwig; Krykunov, Mykhaylo; Luo, Jun; Boyd, Peter G.; Woo, Tom K.
errShare
errSave
errShare
errSave
Prediction of MOF Performance in Vacuum Swing Adsorption Systems for Postcombustion CO2 Capture Based on Integrated Molecular Simulations, Process Optimizations, and Machine Learning Models
err2020-02-24
err136
PREAI
errBurns, Thomas D.; Pai, Kasturi Nagesh; Subraveti, Sai Gokul; Collins, Sean P.; Krykunov, Mykhaylo; Rajendran, Arvind; Woo, Tom K.
errShare
errSave
Interfacial properties of hydrocarbon/water systems predicted by molecular dynamic simulations
err2019-03-20
err32
PREAI
errNaeiji, Parisa; Woo, Tom K.; Alavi, Saman; Varaminian, Farshad; Ohmura, Ryo
errShare
errSave
Imparting gas selective and pressure dependent porosity into a non-porous solid via coordination flexibility
err2019-01-01
err18
PREAI
errNandi, Shyamapada; De Luna, Phil; Maity, Rahul; Chakraborty, Debanjan; Daff, Thomas; Burns, Thomas; Woo, Tom K.; Vaidhyanathan, Ramanathan
errShare
errSave
Design Strategy for the Controlled Generation of Cationic Frameworks and Ensuing Anion-Exchange Capabilities
err2018-12-28
err11
PREAI
errBrunet, Gabriel; Robeyns, Koen; Huynh, Racheal P. S.; Lin, Jian-Bin; Collins, Sean P.; Facey, Glenn A.; Shimizu, George K. H.; Woo, Tom K.; Murugesu, Muralee
errShare
errSave
Idealized Carbon-Based Materials Exhibiting Record Deliverable Capacities for Vehicular Methane Storage
err2018-12-06
err17
errOAAI
errCollins, Sean P.; Perim, E.; Daff, Thomas D.; Skaf, Munir S.; Galvao, Douglas S.; Woo, Tom K.
errShare
errSave