Results 161 to 170 of about 403,915 (345)
Advanced Energy Materials, EarlyView.By combining emulsification electrospinning with a precision thermomechanical biaxial stretching process, ultrathin 3‐fold stretched polytetrafluoroethylene nanofiber (3‐sPTFE NF) reinforcements are developed that enable the fabrication of highly durable and high‐performing reinforced composite membranes (RCMs).
Ji Hyun Lee +11 more
wiley +1 more source
Controlled Interfacial Stress Platform for Electrochemical‐Mechanical Coupling Measurements
Advanced Energy Materials, EarlyView.Understanding electrochemical‐mechanical coupling in solid‐state batteries is vital for predicting their performance, degradation, and safety. Conventional screw‐jig platforms provide data but lack insights into stress effects on individual couplings.
Bhuvsmita Bhargava +9 more
wiley +1 more source
Device Performance of Emerging Photovoltaic Materials (Version 6)
Advanced Energy Materials, EarlyView.Efficiency of single junction perovskite (circles), organic (hexagons), dye sensitized (pentagons), kesterite (diamonds), Sb2Se3 (right triangle), and AgBiS2 (left triangles) solar cells at emerging‐pv.org over the last decade. ABSTRACT This 6th annual Emerging PV Report surveys peer‐reviewed advances since August 2024 across perovskite, organic ...
Osbel Almora +29 more
wiley +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
Advanced Intelligent Discovery, EarlyView.We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
wiley +1 more source
AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry
Angewandte Chemie, EarlyView.AIMNet2‐NSE enables accurate modeling of open‐shell radical chemistry through neural spin‐charge equilibration (NSE). This machine learning interatomic potential predicts radical reaction energies, barriers, and spin‐crossing events with near‐DFT accuracy while offering five orders of magnitude computational speedup, making high‐throughput exploration ...
Bhupalee Kalita +7 more
wiley +2 more sources
Ocean Sciences Directorate of the Office of Naval Research [PDF]
Oceanography, 1988 Melbourne Briscoe, Leonard Johnson
openaire +1 more source
Ships and Science, The Birth of Naval Architecture in the Scientific Revolution 1600-1800
, 2007 S. Kery
openalex +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source
Twisted Tin‐Chloride Perovskite Single‐Crystal Heterostructures
Angewandte Chemie, EarlyView.Replacing lead with tin in a single‐crystal halide perovskite heterostructure drives a twist between the perovskite (gray) and intergrowth (blue) layers. The accompanying structural distortions and interfacial strain change the calculated orbital composition of the band edges and enable high in‐plane optical anisotropy in the Sn analog.
Jamie L. Cleron +10 more
wiley +2 more sources