| Metal–organic frameworks as O 2-selective adsorbents for air separations DE Jaramillo, A Jaffe, BER Snyder, A Smith, E Taw, RC Rohde, MN Dods, ... Chemical science 13 (35), 10216-10237, 2022 | 17 | 2022 |
| Hybrid Approach for Selective Sulfoxidation via Bioelectrochemically Derived Hydrogen Peroxide over a Niobium (V)–Silica Catalyst J Griffin, E Taw, A Gosavi, NE Thornburg, I Pramanda, HS Lee, KA Gray, ... ACS sustainable chemistry & engineering 6 (6), 7880-7889, 2018 | 14 | 2018 |
| Accelerated Discovery of CH4 Uptake Capacity Metal–Organic Frameworks Using Bayesian Optimization E Taw, JB Neaton Advanced Theory and Simulations 5 (3), 2100515, 2022 | 9* | 2022 |
| Carbon capture phenomena in metal-organic frameworks with neural network potentials Y Shaidu, A Smith, E Taw, JB Neaton PRX Energy 2 (2), 023005, 2023 | 6 | 2023 |
| Entropic Effects on Diamine Dynamics and CO2 Capture in Diamine-Appended Mg2(dopbdc) Metal–Organic Frameworks Y Shaidu, W DeSnoo, A Smith, E Taw, JB Neaton The Journal of Physical Chemistry Letters 15, 1130-1134, 2024 | 1 | 2024 |
| Discovery of New Air Separation Metal-Organic Frameworks via Bayesian Optimization E Taw, J Neaton APS March Meeting Abstracts 2022, W32. 010, 2022 | 1 | 2022 |
| Bayesian Optimization Approach for Discovery of High-Capacity Small-Molecule Adsorption in Metal-Organic Frameworks E Taw, J Neaton APS March Meeting Abstracts 2021, E60. 012, 2021 | 1 | 2021 |
| Investigating Water Adsorption in Amine-Appended Metal-Organic Frameworks using Density Functional Theory-Derived Neural Network Potentials P Guimarães Martins, Y Shaidu, E Taw, A Smith, J Neaton Bulletin of the American Physical Society, 2024 | | 2024 |
| Equivarient Electron Density Predictions Accelerate Density Functional Theory Calculations T Koker, K Quigley, E Taw, L Li Bulletin of the American Physical Society, 2024 | | 2024 |
| Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials T Koker, K Quigley, E Taw, K Tibbetts, L Li arXiv preprint arXiv:2312.05388, 2023 | | 2023 |
| Prediction of Metal-Organic Framework Adsorption Isotherms Using Ab Initio Derived Neural Network Potentials PG Martins, Y Shaidu, E Taw, A Smith, JB Neaton 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations D Rothchild, AS Rosen, E Taw, C Robinson, JE Gonzalez, ... arXiv preprint arXiv:2311.01491, 2023 | | 2023 |
| Policy Analysis of CO2 Capture and Sequestration with Anaerobic Digestion for Transportation Fuel Production BE Leonhardt, RJ Tyson, E Taw, MS Went, DL Sanchez Environmental Science & Technology 57 (31), 11401-11409, 2023 | | 2023 |
| Efficient Discovery of Air Separation Adsorbents via Multi-Fidelity Bayesian Optimization E Taw, Y Yabuuchi, K Carsch, R Rohde, J Long, J Neaton APS March Meeting Abstracts 2023, F53. 004, 2023 | | 2023 |
| Prediction of Metal-Organic Framework Adsorption Isotherms using Ab Initio derived Neural Network Potentials P Guimarães Martins, Y Shaidu, E Taw, A Smith, J Neaton APS March Meeting Abstracts 2023, T60. 001, 2023 | | 2023 |
| Discovery of O2-Selective Metal-Organic Frameworks Via Bayesian Optimization E Taw, JB Neaton 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Accelerated Discovery of Metal-Organic Frameworks for Gas Separations Using Bayesian Optimization E Taw, JB Neaton 2021 AIChE Annual Meeting, 2021 | | 2021 |
| High-throughput discovery of metal-organic frameworks for cooperative CO2 adsorption E Taw, J Long, J Neaton, M Haranczyk Bulletin of the American Physical Society 65, 2020 | | 2020 |
| Waste water to chemicals via bioelectrochemically derived hydrogen peroxide and tandem catalysis E Taw, J Griffin, A Gosavi, K Gray, J Notestein, G Wells ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 255, 2018 | | 2018 |
| Green oxidation via bioelectrochemically derived hydrogen peroxide J Griffin, E Taw, A Gosavi, N Thornburg, K Gray, J Notestein, G Wells ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 255, 2018 | | 2018 |
Jeffrey B. NeatonUniversity of California, Berkeley & Lawrence Berkeley National LaboratoryVerified email at berkeley.edu
