Correlation based feature importance analysis for improving machine learning stability predictions in hybrid PV systems. [PDF]
Swarnkar V +4 more
europepmc +1 more source
Additive Manufacturing of NiTi Shape Memory Alloys for Elastocaloric Applications: A Review
Additive manufacturing enables complex NiTi architectures that overcome key limitations in elastocaloric refrigeration, including poor heat transfer and high mechanical work input. This review surveys recent advances in LPBF‐ and DED‐fabricated NiTi shape memory alloys for elastocaloric applications, highlighting process–structure–performance ...
Ignatius Andre Setiawan +7 more
wiley +1 more source
Fuzzy time series for short-term residential load forecasting in smart grids. [PDF]
Kazim U +7 more
europepmc +1 more source
4D‐Printed Magneto‐Plasmonic Microrobots for Programmable Spatiotemporal De‐Icing
A 4D‐printing strategy is introduced to achieve programmable de‐icing devices. By aligning gold–magnetite nanofillers within a photosensitive resin, the printed structures exhibit dual magnetic and plasmonic functionalities, enabling precise spatio‐temporal ice removal through thermoplasmonic effects.
Amélie Pérot +7 more
wiley +1 more source
A hybrid optimal feature selection and Conv-LSTM model (OFSCL) for short-term energy demand forecasting in distribution substations of Ahvaz, Iran. [PDF]
Mehr MM, Farzin H, Mashhour E.
europepmc +1 more source
Parallel 3D Bioprinting on SLIPS‐Microarrays
This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg +3 more
wiley +1 more source
Deep residual networks with convolutional feature extraction for short-term load forecasting. [PDF]
Liu J +4 more
europepmc +1 more source
Uncovering the Origin of Efficiency Roll‐Off in TADF OLEDs
OLEDs based on thermally activated delayed fluorescent (TADF) materials often suffer from a severe drop in efficiency at high brightness levels. This work presents a technique to uncover the source of this efficiency drop, and quantifies the exciton‐exciton and exciton‐polaron annihilation processes responsible for efficiency losses in our TADF OLEDs ...
Liam G. King +3 more
wiley +1 more source
Machine Learning Assisted Hybrid Cuckoo Search for Predictive Optimization in Renewable Energy Systems. [PDF]
Dalaf N, Abbas IT.
europepmc +1 more source
Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee +7 more
wiley +1 more source

