**Abstract:** This research investigates a novel approach to selectively converting carbon dioxide (CO₂) into ethylene oxide (EO) via electrochemical reduction utilizing specifically functionalized copper nanocatalysts. Unlike existing methods hampered by low selectivity and catalyst degradation, our approach leverages a dynamic electrochemical parameter optimization framework combined with advanced computational modeling to achieve unprecedented EO yield and stability. The resultant system presents a highly practical and scalable pathway toward sustainable EO production, a key petrochemical building block, with immediate commercial viability.

**Abstract:** This paper details the development and characterization of enhanced palladium-gold (PdAu) alloy nanocatalysts for selective hydrogenation reactions, specifically targeting the conversion of cinnamaldehyde to hydrocinnamaldehyde. The approach combines statistical mechanics modeling to predict alloy composition-dependent catalytic activity, with a reinforcement learning (RL) driven experimental optimization loop. This hybrid methodology vastly accelerates catalyst discovery and optimization, exceeding traditional trial-and-error approaches by a projected order of magnitude.

**Abstract:** This paper presents a novel and scalable approach to synthesizing highly active and selective cobalt-iron nanocatalysts for ethylene epoxidation via a process integrating dynamic reactive distillation (DRD) with Bayesian hyperparameter optimization (BHPO). Current cobalt-iron catalysts suffer from suboptimal performance due to uncontrolled nanoparticle size distribution and inconsistent active site formation. This methodology addresses these limitations by precisely controlling reaction kinetics and catalyst morphology during synthesis, leading to a 15-20% improvement in ethylene conversion and epoxide selectivity compared to conventional precipitation methods.

**Abstract:** This study proposes a novel method for analyzing and optimizing the surface electronic band structures of β-MnO₂ nanocatalysts to enhance their catalytic activity for selective CO oxidation. Utilizing a hyperdimensional representation of the catalyst’s electronic structure combined with a multi-layered evaluation pipeline, we quantitatively assess structural and compositional variations, predict reaction pathways, and establish a HyperScore for guiding catalyst design.

**Abstract:** This paper details a novel catalytic system leveraging dynamically switchable gold nanocatalysts (AuNCs) stabilized within a hierarchical metal-organic framework (MOF) architecture for enhanced selectivity in CO2 hydrogenation to methane (CH4). The hierarchical MOF structure facilitates efficient mass transport and hotspot creation, while a precisely engineered AuNC coating exhibiting phase-switching behavior allows for dynamic control over catalytic activity and methane selectivity.

**Abstract:** This work investigates a novel method for dynamically controlling peptide self-assembly at the bio-mineral interface using precisely tuned oscillating electric fields. By manipulating the electrostatic interactions between short peptide sequences and hydroxyapatite (HAp), we achieve controlled nucleation and growth of peptide-based nanocatalysts. These nanocatalysts, in turn, enhance the osteogenic differentiation of human mesenchymal stem cells (hMSCs), providing a potentially transformative approach for bone tissue engineering.

Liquid gallium is employed as a reaction medium to synthesize uniquely structured solid–liquid–solid core–shell–shell nanoparticles, enabling the fabrication of diverse metallic nanostructures with ex...

**Abstract:** This research presents a novel methodology for optimizing the catalytic conversion of carbon dioxide (CO₂) to ethylene (C₂H₄) using a copper-based nanocatalyst supported on a specifically-engineered zeolite framework. The approach combines advanced experimental techniques with multi-objective optimization algorithms and detailed kinetic modeling to identify a high-performance catalyst formulation and reaction conditions. Leveraging existing zeolite synthesis and nanocatalyst deposition techniques, this work demonstrates a pathway towards a commercially viable process for efficient and sustainable ethylene production from CO₂, contributing to both carbon capture and utilization strategies and lessening reliance on traditional fossil fuel-based production.

**Abstract:** Current hydrogen evolution reaction (HER) catalysts often suffer from limited efficiency due to complex interplay of surface properties and reaction kinetics. This study introduces a novel methodology for automated design and optimization of bifunctional Pt/TiO₂ nanocatalysts for enhanced HER performance. Utilizing a multi-layered evaluation pipeline, coupled with reinforcement learning (RL) hyperparameter optimization, we systematically explore the relationship between TiO₂ surface hydroxylation density, Pt nanoparticle size distribution, and resultant HER activity.

This review highlights how in situ Raman spectroscopy elucidates oxygen reduction reaction (ORR) mechanisms. Different enhanced Raman strategies, including shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS), the “borrowing” surface-enhanced Raman spectroscopy (SERS) strategy, and tip-enhanced Raman spectroscopy (TERS), have been employed to reveal ORR pathways and intermediates on model and nanocatalysts, such as single crystals, nanocatalysts, and single-atom crystals. These studies provide molecular-level insights into ORR mechanisms and structure-activity relationships for rational catalyst design.

arXiv abstract link

This study presents a breakthrough in sustainable hydrogen production from seawater using chloride-resistant Ru nanocatalysts for direct electrolysis. The crystalline/amorphous Ru heterostructure exhibits 37× higher activity than commercial Pt catalysts in alkaline water electrolysis, enabling cost-effective hydrogen generation. By harnessing abundant oceanic resources, this approach enhances energy security, reduces fossil fuel dependence, accelerates decarbonization across various sectors, and paves the way for scalable, sustainable hydrogen infrastructure.

In the relentless pursuit of sustainable and clean energy sources, hydrogen stands out as a beacon of hope, promising vast amounts of energy coupled with zero carbon emissions. However, the widescale deployment of hydrogen production technologies faces significant hurdles, notably in the availability of freshwater and the corrosive nature of seawater’s chloride ions. A pioneering research effort led by Assistant Professor Haeseong Jang from Chung-Ang University and Professor Xien Liu from Qingdao University of Science and Technology has forged a new path, unveiling an innovative ruthenium-based catalyst capable of efficient and durable hydrogen evolution directly from seawater.