Results 221 to 230 of about 13,287 (308)

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Harmonic-Recycling Passive RF Energy Harvester with Integrated Power Management. [PDF]

Micromachines (Basel)
Li R, Hu Y, Li H, Jin H, Liao D.
europepmc   +1 more source

Alcohol‐Adduct Mediated Precursor Stabilization Strategies for Conformal SnO2 Layers in Highly Efficient and Stable Perovskite Solar Modules

Advanced Energy Materials, EarlyView.
An alcohol‐adduct‐mediated strategy is employed to stabilize tin isopropoxide for the formation of a homogeneous double electron transport layer (ETL) incorporating SnO2 nanoparticles (NPs). This double‐ETL exhibits improved optical and charge‐transport properties due to reduced defect density and better energy level alignment, resulting in high ...
You‐Hyun Seo, Eun Young Park, Chan Su Moon, Dong Gyu Lee, Junho Park, Fabian Rotermund, Gill Sang Han, Tae Kyung Lee, Nam Joong Jeon, Bong Joo Kang, Young Yun Kim   +10 more
wiley   +1 more source

Release and recapture of silica nanoparticles from an optical trap in weightlessness. [PDF]

NPJ Microgravity
Prakash G, Herrmann S, Bergmann RB, Vogt C.   +3 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Ultraviolet-C to mid-infrared supercontinuum generation in periodically poled lithium tantalate waveguides. [PDF]

Light Sci Appl
Xiong H, Yao X, Zhang M, Yao Q, Li H, Yu Z, Zhang G, Liu L, Shi Y, Tsang HK, Dai D.   +10 more
europepmc   +1 more source

Harmonics Elimination in power generation using active power filter

, 2020
openaire   +2 more sources

Molecular Design Strategies for High‐Voltage Organic Cathodes

Advanced Energy Materials, EarlyView.
This work proposes molecular engineering strategies for high‐voltage organic cathode materials for Li‐ion batteries: (1) increase Li‐O coordination number (CN), (2) achieve a greater increase in aromaticity upon reduction (∆Aromaticity), and (3) add an electron‐withdrawing group (EWG), through a combined experimental and computational study on reported
Sungil Hong, Alae Eddine Lakraychi, Artur Lyssenko, Abhishek Ashwin Panchal, Harshan Reddy Gopidi, Pieremanuele Canepa, Rafael Gómez‐Bombarelli, Yan Yao, Rajeev Surendran Assary   +8 more
wiley   +1 more source

Application of stochastic fractal search algorithm in novel harmonic blocking filter design for optimizing harmonic mitigation and hosting capacity in electric distribution systems. [PDF]

PLoS One
Aldosary A, Ali ZM, Abdel Aleem SHE, Zobaa AM.   +3 more
europepmc   +1 more source

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao, Simon Meister, Lucie Maruejols, Xiaohua Yu   +3 more
wiley   +1 more source