Results 161 to 170 of about 31,150 (293)

Controlled Hydrogen Delivery by Single‐Atom Ru Accelerates Electrocatalytic Ammonia Synthesis

open access: yesAngewandte Chemie, EarlyView.
Single Ru atoms anchored on Co3O4 guide reactants along a hydrogen‐rich surface pathway, enabling efficient and selective conversion of NO to NH3. By linking atomic design to catalytic performance, this strategy clarifies the reaction mechanism and offers a versatile platform for engineering oxide catalysts for electrochemical ammonia synthesis ...
Zheng Liu   +15 more
wiley   +2 more sources

From Word2Vec to Transformers: Text‐Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts

open access: yesAdvanced Intelligent Discovery, EarlyView.
With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley   +1 more source

Enantioselective C-H Activations by Metallaelectro-Catalysis. [PDF]

open access: yesAcc Chem Res
Peters SE, Trienes S, Li Y, Ackermann L.
europepmc   +1 more source

The utilization of ions in seawater for electrocatalysis

open access: yes
Electrocatalysis in water offers a sustainable pathway for synthesizing hydrogen and hydrocarbons, leveraging water as a source of protons and hydroxides.
Jiang, Y.   +5 more
core   +1 more source

Particle Swarm Optimization as a Noise‐Tolerant Strategy for High‐Entropy Alloy Research

open access: yesAdvanced Intelligent Discovery, EarlyView.
A customized particle swarm optimization algorithm is benchmarked against batch Bayesian optimization across four high‐entropy alloy oxygen‐reduction landscapes. While both methods locate the global optimum comparably under noise‐free conditions, Bayesian optimization’s surrogate model tends to overfit noisy data.
Ahmad Tirmidzi   +2 more
wiley   +1 more source

From Atoms to Reactors: A Critical Review of a Decade of Machine Learning in Heterogeneous Catalysis (2017–2026)

open access: yesAngewandte Chemie, EarlyView.
Machine learning has digitalized heterogeneous catalysis from the top of the length scale downward: prediction at the atom and the material is now mature, yet the reactor and the process remain the open frontier. This critical review traces a decade of progress across the full catalytic value chain and asks where the next decade of impact must be won ...
Rafael Larraz, Avelino Corma
wiley   +2 more sources

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

Interfacial Water‐Networks Regulate the Anodic Stability of Carbon Electrodes

open access: yesAngewandte Chemie, EarlyView.
The hydrogen‐bonding networks of interfacial water serve as active stability descriptors for carbon anodes: disrupted water‐networks accelerate anodic carbon corrosion, whereas strongly hydrogen‐bonded networks suppress it. This principle enables extension of the stable potential window of carbon electrodes through ionomer‐defined interfaces, as ...
Junsic Cho   +12 more
wiley   +2 more sources

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