The Current Understanding of Mechanistic Pathways in Zeolite Crystallization

AJ Mallette, K Shilpa, JD Rimer - Chemical Reviews, 2024 - ACS Publications
Zeolite catalysts and adsorbents have been an integral part of many commercial processes
and are projected to play a significant role in emerging technologies to address the …

Catalytic recycling of plastics into value-added products

T Wei, P Zhou, W Liu, X Liu, T Kuang - Nano Research, 2024 - Springer
The overuse and ineffective management of plastics have led to significant environmental
pollution. Catalytic upcycling into value-added chemicals has emerged as a promising …

Exploration and Insights on Topology Adjustment of Giant Heterometallic Cages Featuring Inorganic Skeletons Assisted by Machine Learning

MH Du, Y Dai, LP Jiang, YM Su, MQ Qi… - Journal of the …, 2023 - ACS Publications
Inorganic molecular cages are emerging multifunctional molecular-based platforms with the
unique merits of rigid skeletons and inherited properties from constituent metal ions …

Challenges and solutions to the scale-up of porous materials

M Nazari, F Zadehahmadi, MM Sadiq… - Communications …, 2024 - nature.com
With increasing pace, crystalline open frameworks are moving to larger scale, mature
applications that stretch as broadly as catalysis, separation, water purification, adsorption …

A stable zeolite with atomically ordered and interconnected mesopore channel

P Lu, J Xu, Y Sun, R Guillet-Nicolas, T Willhammar… - Nature, 2024 - nature.com
Zeolites are crystalline microporous materials constructed by corner-sharing tetrahedra (SiO
4 and AlO 4), with many industrial applications as ion exchangers, adsorbents and …

Inorganic synthesis-structure maps in zeolites with machine learning and crystallographic distances

D Schwalbe-Koda, DE Widdowson, TA Pham… - Digital …, 2023 - pubs.rsc.org
Zeolites are inorganic materials known for their diversity of applications, synthesis
conditions, and resulting polymorphs. Although their synthesis is controlled both by …

Zeolite membrane with sub-nanofluidic channels for superior blue energy harvesting

R Wei, X Liu, L Cao, C Chen, I Chen, Z Li… - Nature …, 2024 - nature.com
Blue energy, a clean energy source derived from salinity gradients, has recently drawn
increased research attention. It can be harvested using charged membranes, typically …

Synergistic Machine Learning Accelerated Discovery of Nanoporous Inorganic Crystals as Non‐Absorbable Oral Drugs

L **ang, J Chen, X Zhao, J Hu, J Yu, X Zeng… - Advanced …, 2024 - Wiley Online Library
Abstract Machine learning (ML) has taken drug discovery to new heights, where effective ML
training requires vast quantities of high‐quality experimental data as input. Non‐absorbable …

Machine learning insights into predicting biogas separation in metal-organic frameworks

I Cooley, S Boobier, JD Hirst, E Besley - Communications Chemistry, 2024 - nature.com
Breakthroughs in efficient use of biogas fuel depend on successful separation of carbon
dioxide/methane streams and identification of appropriate separation materials. In this work …

Rapid Synthesis of Nine-Membered-Ring STT Aluminosilicate Zeolite from Chain Rearrangement of Lamella MWW Zeolite and Its Catalytic Performance in the …

W Huang, H Wu, X Yan, J Zhang, Z Feng… - Industrial & …, 2024 - ACS Publications
Nine-membered-ring (9-MR) STT zeolites hold immense potential in studying the impact of
pore structure on catalytic performance. However, synthesizing pure-phase STT zeolites …