Self-driving laboratories for chemistry and materials science
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …
Through the automation of experimental workflows, along with autonomous experimental …
Single atom catalysts based on earth-abundant metals for energy-related applications
Anthropogenic activities related to population growth, economic development, technological
advances, and changes in lifestyle and climate patterns result in a continuous increase in …
advances, and changes in lifestyle and climate patterns result in a continuous increase in …
Anion optimization for bifunctional surface passivation in perovskite solar cells
Pseudo-halide (PH) anion engineering has emerged as a surface passivation strategy of
interest for perovskite-based optoelectronics; but until now, PH anions have led to …
interest for perovskite-based optoelectronics; but until now, PH anions have led to …
Ni-rich layered cathodes for lithium-ion batteries: From challenges to the future
Extending the limited driving range of current electric vehicles (EVs) necessitates the
development of high-energy-density lithium-ion batteries (LIBs) for which Ni-rich layered …
development of high-energy-density lithium-ion batteries (LIBs) for which Ni-rich layered …
A survey on large language models: Applications, challenges, limitations, and practical usage
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
Machine learning-assisted low-dimensional electrocatalysts design for hydrogen evolution reaction
J Li, N Wu, J Zhang, HH Wu, K Pan, Y Wang, G Liu… - Nano-Micro Letters, 2023 - Springer
Efficient electrocatalysts are crucial for hydrogen generation from electrolyzing water.
Nevertheless, the conventional" trial and error" method for producing advanced …
Nevertheless, the conventional" trial and error" method for producing advanced …
Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
Hierarchical FeS2 cathode with suppressed shuttle effect for high performance magnesium-ion batteries
Abstract 2D transition metal sulfides (such as FeS 2) are promising cathode materials for
magnesium-ion batteries due to their high capacity, low cost, and abundance. However …
magnesium-ion batteries due to their high capacity, low cost, and abundance. However …
[HTML][HTML] Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation
Machine learning (ML) is rapidly emerging as a pivotal tool in the hydrogen energy industry
for the creation and optimization of electrocatalysts, which enhance key electrochemical …
for the creation and optimization of electrocatalysts, which enhance key electrochemical …
Modeling Single‐Atom Catalysis
Electronic structure calculations represent an essential complement of experiments to
characterize single‐atom catalysts (SACs), consisting of isolated metal atoms stabilized on a …
characterize single‐atom catalysts (SACs), consisting of isolated metal atoms stabilized on a …