By tuning the pore size of mesoporous N‐doped carbon (MPNC) nanospheres as support material for molybdenum sulfide, the electrochemical activity of the composite material for the hydrogen evolution reaction can be optimized. An ideal MPNC pore size of 60 nm allows a high number of molybdenum sulfide active sites while maintaining efficient proton and ...
Niklas Ortlieb +3 more
wiley +1 more source
Predicting the diabetic foot in patients with type 2 diabetes mellitus based on machine learning. [PDF]
Zhang H, Fan W, Li P, Chen X, Yin S.
europepmc +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Artificial intelligence (AI) for virtual reality exposure therapy (VRET): A systematic review. [PDF]
Bergsnev K, Sánchez Laws AL.
europepmc +1 more source
High-Accuracy and Efficient Simulation of Numerical Control Machining Using Tri-Level Grid and Envelope Theory [PDF]
Zhengwen Nie, Zhengyan Zhao
openalex +1 more source
From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics
We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou +3 more
wiley +1 more source
Spectral Quantum Chemistry and Infrared Resonance Library for Data-Driven Molecular Spectroscopy. [PDF]
Krishnadas A +3 more
europepmc +1 more source
Combining Pixel-Based and Object-Oriented Support Vector Machines using Bayesian Probability Theory [PDF]
Mahmoud Salah
openalex +1 more source
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source

