Metallic Phase–Free Zn-Al Mixed Oxide Dual Function Materials Enable High Co Selectivity in Reactive Carbon Capture from Dilute Co2 Streams DOI
Anh T. To, Alexander J. Hill, Chae Jeong-Potter

et al.

Published: Jan. 1, 2024

Language: Английский

Scaling up of photocatalytic systems for large-scale hydrogen generation DOI
Mani Preeyanghaa, Sulakshana Shenoy,

Prince J. J. Sagayaraj

et al.

Applied Physics Reviews, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 10, 2025

Scaling up photocatalytic systems for large-scale hydrogen generation holds transformative potential sustainable energy but faces significant technical and economic challenges in transitioning from lab-scale experiments to industrial applications. This review delves into recent innovations that drive progress this field, including advanced materials developed improved efficiency stability, as well innovative reactor designs optimize light capture reactant flow. It also examines practical strategies the integration of these with renewable sources, focusing on their scalability cost-effectiveness. Key addressed include mass transport limitations, utilization, catalyst longevity, accompanied by emerging solutions aim overcome hurdles. The comprehensively explores intersection technological advancements feasibility, emphasizing environmental considerations necessary implementation production. Emphasizing most developments strategic approaches, outlines a pathway advancing technologies.

Language: Английский

Citations

3
A Review of Large Language Models and Autonomous Agents in Chemistry DOI Creative Commons
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White

et al.

Chemical Science, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

Large language models (LLMs) have emerged as powerful tools in chemistry, significantly impacting molecule design, property prediction, and synthesis optimization. This review highlights LLM capabilities these domains their potential to accelerate scientific discovery through automation. We also LLM-based autonomous agents: LLMs with a broader set of interact surrounding environment. These agents perform diverse tasks such paper scraping, interfacing automated laboratories, planning. As are an emerging topic, we extend the scope our beyond chemistry discuss across any domains. covers recent history, current capabilities, design agents, addressing specific challenges, opportunities, future directions chemistry. Key challenges include data quality integration, model interpretability, need for standard benchmarks, while point towards more sophisticated multi-modal enhanced collaboration between experimental methods. Due quick pace this field, repository has been built keep track latest studies: https://github.com/ur-whitelab/LLMs-in-science.

Language: Английский

Citations

13
Data-driven analysis of property-performance correlations in dual functional materials for CO2 capture and utilization DOI
Lukas C. Buelens,

Louis Van de Voorde,

Varun Singh

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159596 - 159596

Published: Jan. 1, 2025

Language: Английский

Citations

0
Metallic phase–free Zn-Al mixed oxide dual function materials enable high CO selectivity in reactive carbon capture from dilute CO2 streams DOI Creative Commons
Alexander J. Hill, Chae Jeong-Potter, W. Wilson McNeary

et al.

Applied Catalysis B Environment and Energy, Journal Year: 2025, Volume and Issue: unknown, P. 125305 - 125305

Published: March 1, 2025

Language: Английский

Citations

0
Metallic Phase–Free Zn-Al Mixed Oxide Dual Function Materials Enable High Co Selectivity in Reactive Carbon Capture from Dilute Co2 Streams DOI
Anh T. To, Alexander J. Hill, Chae Jeong-Potter

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0