Strategies for Paired Electrolysis with Enhanced Efficiency
This review summarizes the fundamentals, challenges, and strategies for paired electrolysis, with examples in the chlor‐alkali, hydrogen production, CO2 reduction, and ammonia synthesis industries. Future directions include the development of advanced membranes, computational studies, process integration, scale‐up, and techno‐economic analysis.
Yuanyuan Yao +6 more
wiley +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Auger Recombination and Carrier-Surface Optical Phonon Interaction in Van Der Waals Heterostructures Composed of Graphene and 2D Transition Metal Chalcogenides. [PDF]
Mahdouani M, Bourguiga R, Gardelis S.
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Prediction of Two-Dimensional Janus Transition-Metal Chalcogenides: Robust Ferromagnetic Semiconductor with High Curie Temperature. [PDF]
Wang Z +9 more
europepmc +1 more source
Shining a light on transition metal chalcogenides for sustainable photovoltaics. [PDF]
Matthews PD +3 more
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Review of Transition Metal Chalcogenides and Halides as Electrode Materials for Thermal Batteries and Secondary Energy Storage Systems. [PDF]
Muthu P +6 more
europepmc +1 more source
Ultra‐High Spin Hall Angle in Sputtered Sb2Te3 Topological Insulators via Pt Interfacial Engineering
Topological insulator Sb2Te3 demonstrates exceptional charge‐to‐spin conversion efficiency and thermal stability up to 400°C, showing great promise for spin–orbit torque memory applications. This study achieves high‐quality Sb2Te3 films on silicon substrates through optimized sputtering and introduces an ultrathin Pt interlayer to suppress interfacial ...
Qi Zhang +9 more
wiley +1 more source

