Joshua L. Lansford

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..

Scaling of Transition State Vibrational Frequencies and Application of d-Band Theory to the Brønsted–Evans–Polanyi Relationship on Surfaces

D. Vlachos, Sophia J. Kurdziel, Joshua L. Lansford, 2021 .

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

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

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

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

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.

Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciences

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

Optimization of the facet structure of transition-metal catalysts applied to the oxygen reduction reaction

D. Vlachos, M. Núñez, J. Lansford, 2019, Nature Chemistry.