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Joshua L Lansford

Showing results (1-10 of 5) with videos related to

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ACS Nano|November 16, 2020
Spectroscopic Probe Molecule Selection Using Quantum Theory, First-Principles Calculations, and Machine LearningJoshua L Lansford, Dionisios G Vlachos
Nature Communications|April 7, 2020
Infrared spectroscopy data- and physics-driven machine learning for characterizing surface microstructure of complex materialsJoshua L Lansford, Dionisios G Vlachos
Nature Communications|November 30, 2017
Scaling relationships and theory for vibrational frequencies of adsorbates on transition metal surfacesJoshua L Lansford, Alexander V Mironenko, Dionisios G Vlachos
Science Advances|October 15, 2020
Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciencesJinchao Feng, Joshua L Lansford, Markos A Katsoulakis, et al.
Journal of Chemical Information and Modeling|October 14, 2022
Building Chemical Property Models for Energetic Materials from Small Datasets Using a Transfer Learning ApproachJoshua L Lansford, Brian C Barnes, Betsy M Rice, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
ACS Nano|November 16, 2020
Spectroscopic Probe Molecule Selection Using Quantum Theory, First-Principles Calculations, and Machine LearningJoshua L Lansford, Dionisios G Vlachos
Nature Communications|April 7, 2020
Infrared spectroscopy data- and physics-driven machine learning for characterizing surface microstructure of complex materialsJoshua L Lansford, Dionisios G Vlachos
Nature Communications|November 30, 2017
Scaling relationships and theory for vibrational frequencies of adsorbates on transition metal surfacesJoshua L Lansford, Alexander V Mironenko, Dionisios G Vlachos
Science Advances|October 15, 2020
Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciencesJinchao Feng, Joshua L Lansford, Markos A Katsoulakis, et al.
Journal of Chemical Information and Modeling|October 14, 2022
Building Chemical Property Models for Energetic Materials from Small Datasets Using a Transfer Learning ApproachJoshua L Lansford, Brian C Barnes, Betsy M Rice, et al.
Pageof 1