Results 141 to 150 of about 21,326 (297)

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Nudge, nudge, push, shove

, 2013
Taggart, Danny
core   +5 more sources

Evaluating digital nudge interventions for the promotion of cancer screening behavior: a systematic review and meta-analysis

BMC Medicine
Background Public adherence to cancer screening remains low and is influenced by both rational and non-rational factors, including decision biases that underestimate screening benefits.
Fangfang Wang, Yonglin Li, Chenxing Zhang, Rachel Arbing, Wei-Ti Chen, Feifei Huang   +5 more
doaj   +1 more source

Incorporation of Extrinsic Alkali Cations Modulates Ion Migration and Hysteresis in Lateral MAPbBr3 Devices

Advanced Electronic Materials, EarlyView.
Extrinsic alkali cations regulate field‐driven ion migration and hysteresis in lateral MAPbBr3 devices. Combined electrical measurements and DFT calculations reveal distinct ion‐dependent transport behaviors, with Li+ producing the strongest modulation due to its lower migration barrier.
Hongxin Yuan, Yahong Pu, Darrell Jun Jie Tay, Si En Ng Timothy, Yanfang Zhang, Chenguang Zhang, Teddy Salim, Natalia Yantara, Shixuan Du, Nripan Mathews, Kedar Hippalgaonkar   +10 more
wiley   +1 more source

Atomic‐Scale Mechanisms of Anisotropic Thermal Decomposition in GeSn Alloys With Stepwise Pinning

Advanced Electronic Materials, EarlyView.
Combining in situ TEM with DFT calculations, this work elucidates atomic‐scale anisotropic thermal decomposition in GeSn films, identifying laminar receding in defect‐free regions and stepwise pinning at stacking faults. Driven by crystallographic anisotropy and defect‐mediated energetic penalties, these findings establish a physical framework for ...
YiXin Wang, Qi Liu, XiYan Chang, Chi Xu, Tao Wang, XinZheng Li, ChunLai Xue   +6 more
wiley   +1 more source

Digital Nudging [PDF]

SSRN Electronic Journal, 2015
Markus Weinmann, Christoph Schneider, Jan vom Brocke   +2 more
openaire   +2 more sources

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

Breaking the Durability–Power Trade‐Off: Boron‐Directed Faceted O3 Cathodes for High‐Rate Sodium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song, Alexis Manche, Dongrui Xie, Bowen Liu, Chenglong Wu, Bo Dong, Reda Malakauskaite, Manoj Ovhal, David O. Scanlon, Emma Kendrick   +9 more
wiley   +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

Decoupling Thermodynamic and Kinetic Moisture Instability Reveals a Critical Humidity Threshold for Sodium Thiophosphate Solid Electrolyte

Advanced Energy Materials, EarlyView.
A quantitative exposure‐heat treatment framework identifies a critical humidity threshold (15%RH) and heat treatment temperature (80°C) that governs the recoverability of air‐exposed Na3PS4, revealing the decoupled thermodynamic and kinetic contributions to its moisture stability.
Boling Liu, Jingjing Liu, Ahmad Mandouh, Brenna Richardson, Cheng Xu, Soo Yeon Lim, Wenhui Zhu, Md. Monir Hossain, Ruigang Wang, Wei Lai, Chengcheng Fang   +10 more
wiley   +1 more source