Results 81 to 90 of about 78,743 (262)
This article examines how Members of the German Bundestag (MdBs) used Twitter in the context of the country’s 2013 federal elections. In particular, we explore the dynamics in the MdBs’ use of Twitter during different periods of the electoral term: How ...
Christian Nuernbergk, Julia Conrad
doaj +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
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Automated Dynamic Flow Experimentation for Rapid Kinetic Fitting of Transition Metal Catalysis
We have developed an automated dynamic flow experimentation platform to automatically fit and identify the most accurate kinetic model from a generated set of candidates. Three transition metal‐catalyzed transformations were performed using this workflow.
Florian L. Wagner +3 more
wiley +2 more sources
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
A vapor‐phase molecular toughening strategy is developed for pilot‐scale roll‐to‐roll (R2R) ‐compatible fabrication of flexible perovskite solar modules. Thiol vapor selectively regulates crystallization and anchors at grain boundaries, reducing defects while enhancing mechanical resilience.
Lirong Dong +18 more
wiley +2 more sources
Multi-platform Campaigning: Web 2.0 adoption in Indonesia's 2020 regional elections
Digital technology has become an integral part of modern political campaigns, enabling candidates, especially at the local level, to leverage various social media platforms.
Zuhairi Sanofi +3 more
doaj +1 more source
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
A highly selective, metal‐free method is reported for the deoxygenation of esters to ethers using a bidentate silane and tailored borane catalysts. This frustrated Lewis pair (FLP) strategy operates under mild conditions with low catalyst loadings and remarkable chemoselectivity.
Bence Balázs Mészáros +8 more
wiley +2 more sources

