Results 201 to 210 of about 4,830 (264)
While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo +7 more
wiley +1 more source
Termination of DNA replication drives genomic instability via multiple mechanisms. [PDF]
Goodall DJ +7 more
europepmc +1 more source
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar +2 more
wiley +1 more source
Generative AI for Bayesian Computation. [PDF]
Polson N, Sokolov V.
europepmc +1 more source
Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao +4 more
wiley +1 more source
Structural time series modelling for weekly forecasting of enterovirus outpatient, inpatient, and emergency department visits. [PDF]
Chen CWS, Hsieh LL, Chu BXY.
europepmc +1 more source
A multiscale Bayesian optimization framework for process and material codesign
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley +1 more source
An index of multiple deprivation in Sweden: measuring area-level socio-economic inequalities. [PDF]
van der Velde L +7 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Antibacterial consumption before, during, and after the COVID-19 pandemic in a tertiary care pediatric hospital in Mexico. [PDF]
Pérez-Morales AM +10 more
europepmc +1 more source

