Results 171 to 180 of about 234,306 (282)

Tunable unconventional spin orbit torque magnetization dynamics in van der Waals heterostructures. [PDF]

Nat Commun
Pandey L, Zhao B, Tenzin K, Ngaloy R, Lamparská V, Bangar H, Ali A, Abdel-Hafiez M, Zhang G, Wu H, Chang H, Sjöström L, Rout P, Sławińska J, Dash SP.   +14 more
europepmc   +1 more source

Transport Resistance Dominates the Fill Factor Losses in Record Organic Solar Cells

Advanced Energy Materials, EarlyView.
Organic photovoltaics are a promising solar cell technology, but even the record devices with 20% efficiency have significant fill factor losses due to low active layer conductivities. In this Perspective, the authors describe the origin of these losses, discuss experimental methods for their quantification, and explain how to minimize them to optimize
Chen Wang, Roderick C. I. MacKenzie, Uli Würfel, Dieter Neher, Thomas Kirchartz, Carsten Deibel, Maria Saladina   +6 more
wiley   +1 more source

Current scaling of the magnetoresistance peaks in the microwave radiation induced magnetoresistance oscillations. [PDF]

Sci Rep
Poudel R, Wijewardena UK, Nanayakkara TN, Kriisa A, Reichl C, Wegscheider W, Mani RG.   +6 more
europepmc   +1 more source

Hybrid Molecular Photoanodes for Water Oxidation Based on Electropolymerized Cu Macrocyclic Complexes on BiVO4‐WO3

Advanced Energy Materials, EarlyView.
Hybrid photoanodes based on WO3/BiVO4 and Cu‐based molecular catalysts are developed for solar water oxidation. The molecular catalyst enables efficient hole transfer and passivates recombination centers, leading to enhanced photocurrent and long‐term stability.
Carlos G. Bellido, Michele Mazzanti, Koushik Ranu, Alberto Piccioni, Raffaello Mazzaro, Federico Boscherini, Fernando F. Salomón, Sergi Grau, Xavier Sala, Luca Pasquini, Antoni Llobet, Stefano Caramori   +11 more
wiley   +1 more source

A generalized framework for the collinear restricted four-body problem with a central dominant mass. [PDF]

Sci Rep
Idrisi MJ, Suraj MS, Ershkov S, Abouelmagd EI, Beza D.   +4 more
europepmc   +1 more source

Spin Matters: A Multidisciplinary Roadmap to Understanding Spin Effects in Oxygen Evolution Reaction During Water Electrolysis

Advanced Energy Materials, EarlyView.
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne, Priscila Vensaus, Vadim Ratovskii, Seenivasan Hariharan, Jan Behrends, Cesare Franchini, Jonas Fransson, Sarnjeet S. Dhesi, Felix Gunkel, Florian Gossing, Georgios Katsoukis, Ulrike I. Kramm, Magalí Lingenfelder, Qianqian Lan, Yury V. Kolen'ko, Yang Li, Ramsundar Rani Mohan, Jeffrey McCord, Lingmei Ni, Eva Pavarini, Rossitza Pentcheva, David H. Waldeck, Michael Verhage, Anke Yu, Zhichuan J. Xu, Piero Torelli, Silvia Mauri, Narcis Avarvari, Anja Bieberle‐Hütter, Christoph Baeumer   +29 more
wiley   +1 more source

Programmable state switching based on higher-order exceptional points in anti-parity-time symmetric microcavity systems. [PDF]

Sci Rep
Laha A, Beniwal D, Ghosh S, Miranowicz A.   +3 more
europepmc   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Imaging of electric-field-induced domain structure in DyMnO 3 nanocrystals. [PDF]

Discov Nano
Najeeb MA, Morrison R, Mokhtar AH, Porter DG, Lichtenberg F, Bombardi A, Newton MC.   +6 more
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source