Results 41 to 50 of about 2,130 (190)

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Safe-and-sustainable-by-design redox active molecules for energy storage applications

Energy, Sustainability and Society
Background Sustainability aspects have become a main criterion for design next to performance of material and product. Particularly the emerging field of energy storage and conversion is striving towards more sustainable solutions.
Clemens Wolf, Janine Maier, Julia Wenger, Georg Rudelstorfer, Christian Leypold, Julia Voglhuber-Höller, Matiss Reinfelds, Andrea Weiner, Arantza Muriana, Susanne Lux, Claudia Mair-Bauernfeind, Andreas Falk, Stefan Spirk   +12 more
doaj   +1 more source

The Data-Driven Approach in Transitioning Organizational Strategies and Capabilities: Insights from Indonesia's National Narcotics Agency

Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
Anti-narcotics prevention measures, such as urine sampling of suspect offenders, citizen reporting of suspect narcotic activities, public education, or legal consultations used to be performed at provincial and city levels.
Komang Ari Widani, Abdullah Hasan, Benny Ranti, Muhammad Rifki Shihab, Widha Utami Putri, Syam Fikry Mardiansyah   +5 more
doaj   +1 more source

Harnessing Thin‐Film Solid‐State Electrolytes: Enabling Breakthroughs in All‐Solid‐State Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Schematic illustration highlighting the advantages of transitioning from traditional thick solid‐state electrolytes (SSEs) to thin‐film SSEs. Thinning the electrolyte enables higher ionic conductivity, reduced interfacial polarization, improved flexibility, compact electrode contact, and enhanced energy density, offering a promising pathway toward high‐
Yitao He, Haoyang Cheng, Li Wang, Xiangming He   +3 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer

CoRR, 2021
Bayesian neural networks (BNNs) have become a principal approach to alleviate overconfident predictions in deep learning, but they often suffer from scaling issues due to a large number of distribution parameters. In this paper, we discover that the first layer of a deep network possesses multiple disparate optima when solely retrained.
Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou 0011, Li Shen 0008, Fengxiang He, Dacheng Tao   +6 more
openaire   +2 more sources

Interface Engineering of Boron Nitride–Polymer Composites for High Thermal Conductivity

Information &Functional Materials, EarlyView.
This review comprehensively discusses the impacts of interfacial design and fabrication strategies on boron nitride–polymer composites, and systematically classifies and summarizes recent advances in interfacial engineering based on the interaction modes between boron nitride fillers and polymer matrices.
Zhao Chen, Yuhang Meng, Chenyu Zhao, Xiangfen Jiang, Xuebin Wang   +4 more
wiley   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source

BAYESIAN NEURAL NETWORK RAINFALL MODELLING: A CASE STUDY IN EAST JAVA

Barekeng
Rainfall is an important parameter in meteorology and hydrology, and it measures the amount of rain that falls from the atmosphere to the ground surface in liquid form.
Suci Astutik, Nur Silviyah Rahmi, Diego Irsandy, Fang You Dwi Ayu Shalu Saniyawati, Fidia Raaihatul Mashfia, Evelin Dewi Lusiana, Intan Fadhila Risda, Mohammad Hilmi Susanto   +7 more
doaj   +1 more source

Responsive nitric oxide‐releasing antibacterial materials for biofilm‐associated infections: Mechanisms, design strategies, and applications

Responsive Materials, EarlyView.
This review summarizes the recent progress in responsive NO‐releasing materials and their applications in biofilm‐associated infectious diseases. The design principles and response mechanisms are given to provide inspiration toward the future development of multi‐responsive NO‐releasing materials.
Wenyue Sun, Meiqi Li, Di Nan, Jiaqi Zhao, Yu Chen, Yao Gao, Shichen Zhang, Kirsten L. Van Landuyt, Manlin Qi   +8 more
wiley   +1 more source