Results 41 to 50 of about 6,643 (270)
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic +6 more
wiley +1 more source
Stein interpolation for the real interpolation method [PDF]
We prove a complex formulation of the real interpolation method, showing that the real and complex interpolation methods are not inherently real or complex.
Lindemulder, Nick, Lorist, Emiel
core +2 more sources
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
Some new Stein and Hardy type inequalities [PDF]
We prove a generalization of the pointwise Stein inequality, considering two truncated versions. More generally than in the Stein inequality, we assume that the kernel is dominated by a radial function almost decreasing after the division by a power ...
L. -E. Persson +3 more
core +1 more source
Stein interpolation for the real interpolation method [PDF]
We prove a complex formulation of the real interpolation method, showing that the real and complex interpolation methods are not inherently real or complex.
Lorist, E. (author) +1 more
core +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate +4 more
wiley +1 more source
Objective Epstein–Barr virus (EBV) has been implicated in the pathogenesis of multiple sclerosis (MS). Elevated immunoglobulin G (IgG) titers against EBV nuclear antigen 1 (EBNA1) represent the most consistent serological marker of MS risk, with levels remaining persistently elevated following disease onset.
Malina Behrens +9 more
wiley +1 more source
On the v-Picard Group of Stein Spaces
Abstract We study the image of the Hodge–Tate logarithm map (in any cohomological degree), defined by Heuer, in the case of smooth Stein varieties. Heuer, motivated by the computations for the affine space of any dimension, raised the question whether this image is always equal to the group of closed differential forms.
Ertl, Veronika +2 more
openaire +3 more sources
An anomeric amide‐enabled divergent aldehyde functionalization sequence provides one‐pot access to unsymmetrical ureas, carbamates, thiocarbamates, thioesters, and amides. Key to this transformation is the formation of N‐Boc‐hydroxamate intermediates, which serve as platforms for orthogonal activation via Lossen‐type rearrangements, single‐electron ...
Jasper L. Tyler +6 more
wiley +1 more source

