J. L. Lansford

Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciences

Jinchao Feng, D. Vlachos, M. Katsoulakis, 2020, Science Advances.

Scaling relationships and theory for vibrational frequencies of adsorbates on transition metal surfaces

D. Vlachos, J. L. Lansford, A. V. Mironenko, 2017, Nature Communications.

Non-parametric correlative uncertainty quantification and sensitivity analysis: Application to a Langmuir bimolecular adsorption model

Jinchao Feng, D. Vlachos, M. Katsoulakis, 2018 .

Infrared spectroscopy data- and physics-driven machine learning for characterizing surface microstructure of complex materials

D. Vlachos, J. L. Lansford, J. Lansford, 2020, Nature Communications.

Building Chemical Property Models for Energetic Materials from Small Datasets Using a Transfer Learning Approach

Brian C. Barnes, K. Jensen, B. Rice, 2022, J. Chem. Inf. Model..

Spectroscopic Probe Molecule Selection Using Quantum Theory, First-Principles Calculations, and Machine Learning.

D. Vlachos, J. L. Lansford, J. Lansford, 2020, ACS nano.