Early Career Reviewer Hub: Paving the way for the next generation of peer reviewers. [PDF]
Fuentes S, De la Rosa MA.
europepmc +1 more source
Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells
Escaping the scaling relationships of the oxygen reduction reaction is vital for hydrogen fuel cells. This outlook examines how interfacial heterogeneity, spanning the subsurface lattice, chemisorption layer, and near‐interface solvation volume, mechanistically decouples intermediate binding energetics.
Muhammad Bilal Wazir +2 more
wiley +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Experiential knowledge and peer support in type 1 diabetes: insights from endurance running communities. [PDF]
Vauthier JC +5 more
europepmc +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu +6 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
A study of the effect of peer-led instruction on the improvement of swimming skills of university students. [PDF]
Xie D, Song W, Wang L, Lin X.
europepmc +1 more source
Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon +9 more
wiley +1 more source
Standardized Near-Peer Clinical Skills Training for Seven Student-Run Clinics: Assessing Impact on Student Confidence. [PDF]
Boetes J +4 more
europepmc +1 more source

