S. Garcia

发表

Data-driven design of metal–organic frameworks for wet flue gas CO 2 capture

Peter G. Boyd, Andrzej, S. M. Moosavi, 2020 .

A Data-Science Approach to Predict the Heat Capacity of Nanoporous Materials

S. M. Moosavi, B. Smit, F. Noé, 2022, Nature Materials.

Process-informed adsorbent design guidelines for direct air capture

B. Smit, Mijndert van der Spek, S. Garcia, 2022, Chemical Engineering Journal.

Characterization of Chemisorbed Species and Active Adsorption Sites in Mg–Al Mixed Metal Oxides for High-Temperature CO2 Capture

B. Smit, K. Jablonka, J. Reimer, 2022, Chemistry of materials : a publication of the American Chemical Society.

Data-driven design of metal–organic frameworks for wet flue gas CO2 capture

Jeffrey A. Reimer, Tom K. Woo, Peter G. Boyd, 2019, Nature.

Deep learning for industrial processes: Forecasting amine emissions from a carbon capture plant

B. Smit, P. Moser, K. Jablonka, 2021 .

The impact of binary water-CO2 isotherm models on the optimal performance of sorbent-based direct air capture processes.

Mijndert van der Spek, E. García-Díez, S. Garcia, 2021, Energy & Environmental Science.

How to Decarbonize Our Energy Systems: Process‐Informed Design of New Materials for Carbon Capture

B. Smit, S. Garcia, 2023, Chemie Ingenieur Technik.

A reproducibility study of "Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space"

B. Smit, K. Jablonka, Brian Yoo, 2021, ArXiv.

Impact of High Capture Rates and Solvent and Emission Management Strategies on the Costs of Full-Scale Post-Combustion Co2 Capture Plants Using Long-Term Pilot Plant Data

P. Moser, Mijndert van der Spek, Juliana Monteiro, 2023, SSRN Electronic Journal.

The cost of direct air capture and storage can be reduced via strategic deployment but is unlikely to fall below stated cost targets

P. Renforth, J. Andresen, Mijndert van der Spek, 2023, One Earth.

Towards benchmarking and advancing solid-sorbent direct air capture

B. Smit, Mijndert van der Spek, E. García-Díez, 2022, SSRN Electronic Journal.

Machine learning for industrial processes: Forecasting amine emissions from a carbon capture plant

B. Smit, P. Moser, K. Jablonka, 2023, Science Advances.

A Robust Framework for Generating Adsorption Isotherms to Screen Materials for Carbon Capture

S. M. Moosavi, B. Smit, S. Garcia, 2023, Industrial & engineering chemistry research.

A Roadmap for Achieving Scalable, Safe, and Low-cost Direct Air Carbon Capture and Storage

Mijndert van der Spek, C. Maesano, L. Küng, 2023, Energy & Environmental Science.

Highly selective CO2 photoreduction to CO on MOF-derived TiO2

B. Smit, A. Beale, M. Maroto-Valer, 2023, RSC Sustainability.

Carbon capture and storage: making fossil fuels great again?

B. Smit, S. Garcia, 2020, Europhysics News.