| Probing Interfacial Structure and Dynamics of Model and Natural Asphaltenes at Fluid-Fluid Interfaces F Fajardo-Rojas, D Pradilla, OA Alvarez Solano, JR Samaniuk Langmuir, 2020 | 15 | 2020 |
| Exploring pre-trained language models to build knowledge graph for metal-organic frameworks (mofs) Y An, J Greenberg, X Hu, A Kalinowski, X Fang, X Zhao, S McCLellan, ... 2022 IEEE International Conference on Big Data (Big Data), 3651-3658, 2022 | 5 | 2022 |
| Building open knowledge graph for metal-organic frameworks (mof-kg): Challenges and case studies Y An, J Greenberg, X Zhao, X Hu, S McCLellan, A Kalinowski, ... arXiv preprint arXiv:2207.04502, 2022 | 4 | 2022 |
| Deviation from equilibrium thermodynamics of an asphaltene model compound during compression–expansion experiments at fluid–fluid interfaces F Fajardo-Rojas, OA Alvarez Solano, JR Samaniuk, D Pradilla Langmuir 37 (5), 1799-1810, 2021 | 4 | 2021 |
| Theoretical assessments of Pd–PdO phase transformation and its impacts on H 2 O 2 synthesis and decomposition pathways M Vyas, F Fajardo-Rojas, DA Gómez-Gualdrón, S Kwon Catalysis Science & Technology 13 (13), 3828-3848, 2023 | 3 | 2023 |
| Framework-Topology-Controlled Singlet Fission in Metal–Organic Frameworks SS Rajasree, J Yu, F Fajardo-Rojas, HC Fry, R Anderson, X Li, W Xu, ... Journal of the American Chemical Society 145 (32), 17678-17688, 2023 | 2 | 2023 |
| Novel biosurfactants: Rationally designed surface-active peptides and in silico evaluation at the decane-water interface JV Pérez-Bejarano, F Fajardo-Rojas, O Alvarez, JC Burgos, LH Reyes, ... Process Biochemistry 125, 84-95, 2023 | 1 | 2023 |
| Active learning of alchemical adsorption simulations; towards a universal adsorption model. E Osaro, F Fajardo-Rojas, G Cooper, D Gómez-Gualdrón, Y Colón | | 2024 |
| Implications of Material Functionalization and Solvent Identity on the Synthesizability and Polymorph Selection of Metal-Organic Frameworks F Fajardo-Rojas, R Anderson, DG Gualdron 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Active Learning for Data-Efficient Training of Machine Learning Models to Predict Adsorption in Metal-Organic Frameworks (MOFs). E Osaro, F Fajardo-Rojas, DG Gualdron, Y Colón 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Predictions of Adsorption of NH3-Containing Mixtures for Screening of MOFs for Plasma-Assisted NH3 Synthesis and Complementary Energy and Environmental … TW Liu, JFF Rojas, DG Gualdron 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Probing Interfacial Structure and Dynamics of Asphaltenes and Model Asphaltenes at Fluid-Fluid Interfaces JF Fajardo-Rojas, DC Pradilla, A Solano, J Samaniuk 2019 AIChE Annual Meeting, 2019 | | 2019 |
Diego A. Gomez-GualdronAssociate Professor, Colorado School of MinesVerified email at mines.edu
