Results 161 to 170 of about 153,226 (252)

Channel gain calibrated signal space projection using variational Bayesian estimation for optically pumped magnetometers. [PDF]

Imaging Neurosci (Camb)
Suzuki K, Takeda Y, Hiroe N, Holmes N, Yamashita O.   +4 more
europepmc   +1 more source

Balancing Carrier Cooling in InN/GaN Quantum Wells via Point Defect Engineering

Advanced Electronic Materials, EarlyView.
Nitrogen vacancies in the InN/GaN interface regulate carrier relaxation in polar quantum wells by reconstructing the conduction‐band decay pathway and enhancing nonadiabatic coupling. No deep midgap state is introduced in the neutral single‐vacancy model, enabling faster hot‐electron cooling, improved electron‐hole balance, reduced electron overflow ...
Yuxin Yang, Zhiming Shi, Zi‐Hui Zhang, Su‐Huai Wei, Xiaojuan Sun, Dabing Li   +5 more
wiley   +1 more source

Acoustic Vector Sensor-Based UAV Sound Source Localization via Covariance Enhancement and Confidence Guidance Tracking. [PDF]

Sensors (Basel)
Hou J, He T, Chen D.
europepmc   +1 more source

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

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Entorhinal Silencing Reveals Energy Cascade Organization of Hippocampal Oscillations. [PDF]

Hippocampus
Zhao B, Qin Y, Burke SN, Maurer AP.
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

Ultrafast decoherence in solid-state high-harmonic generation induced by nuclear-electronic entanglement. [PDF]

Sci Adv
Hu S, Chen Q, Zhao R, Xu Q, Gu Q, Wang E, Meng S.   +6 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

An error measurement method for electricity meters based on dynamic test signal modeling with random measurements. [PDF]

Sci Rep
Qi J, Liu Z, Zhong Q, Tao Y.
europepmc   +1 more source