Results 71 to 80 of about 2,281,992 (231)

Active Phase of Nickel Electrocatalysts Driving Alkaline Hydrogen Evolution

Advanced Materials, EarlyView.
Using depth‐resolved and operando spectroscopic measurements coupled with electrochemical mass spectrometry, the authors uncover the critical role of sub‐surface oxidised species in increasing the activity and durability of Ni‐based cathodes for hydrogen evolution.
Yifeng Wang, Eleanor Ender, Santosh Kumar, Cindy Tseng, Guangmeimei Yang, Boxi Ye, Caiwu Liang, Youli Yu, Norton West, Inderjeet Chauhan, Jun H. Ng, Sid Halder, Sang Gu Ji, Georg Held, Mary P. Ryan, Katie L. Moore, Alex S. Walton, Reshma R. Rao   +17 more
wiley   +1 more source

Extreme Bond Ionicity in Mg─Te Chalcogenides for Ultrathin Low Voltage Selector‐Only Memory beyond the Leakage Scaling Limit

Advanced Materials, EarlyView.
Mg─Te chalcogenides address the leakage scaling trade‐off in ultrathin selector‐only memory. Structural partitioning in multiphase Mg─Te, combined with highly ionic Mg─Te bonding and Hf interfacial engineering, supports reliable 5 nm thickness operation at low write voltage with suppressed leakage current, narrow threshold voltage distributions, 10 ns ...
Yoori Seo, Dongmin Kim, Yu Bin Park, Jangseop Lee, Tae Hoon Lee, Hyunsang Hwang   +5 more
wiley   +1 more source

Iterative Selection of DNA Nanostructures for Cellular Uptake

Advanced Materials, EarlyView.
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar, Lisa Eichhorn, Jakub Palacka, Sandra Ly, Erik Benson   +4 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Atom–Cluster Synergy in Scalable Fe–Ru Dual‐Site Architectures Accelerates Alkaline Hydrogen Evolution

Advanced Materials, EarlyView.
A mechanochemically synthesized dual‐site electrocatalyst (RuNC@Fe1NC) accelerates alkaline hydrogen evolution via atomic‐level spatial decoupling. Oxophilic Fe single atoms effectively dissociate water, while adjacent Ru nanoclusters rapidly recombine hydrogen.
Jae‐Hoon Baek, Seong Hyeon Kweon, Sun Gwan Cha, Se Jung Lee, Jinwoo Baek, Dong Hyeok Kwon, Hojeong Lee, Youngkook Kwon, Sang Kyu Kwak, Jong‐Beom Baek   +9 more
wiley   +1 more source

Fiber‐Format Flexible Linear Electrostatic Motors

Advanced Materials, EarlyView.
A flexible coaxial fibre‐format electrostatic motor enables backdrivable and reversible linear actuation with high force density and functionality under bending, offering a scalable actuation platform for soft and wearable robotics. ABSTRACT Linear motion is fundamental to robotics, yet existing solutions are either rigid electromagnetic motors or ...
Sylvain Schaller, Herbert Shea
wiley   +1 more source

Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model

Energy and AI
Renewable energy production and the balance between production and demand have become increasingly crucial in modern power systems, necessitating accurate forecasting.
Amir Miraki, Pekka Parviainen, Reza Arghandeh   +2 more
doaj   +1 more source

Forecasting the Intermittent Demand for Slow-Moving Items [PDF]

Organizations with large-scale inventory systems typically have a large proportion of items for which demand is intermittent and low volume. We examine different approaches to forecasting for such products, paying particular attention to the need for ...
Adrian Beaumont, Keith Ord, Ralph Snyder
core  

Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization

Advanced Materials Interfaces, EarlyView.
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan, Thomas D. Small, Gregory F. Metha, Mahmoud Adel Hamza, Thomas J. O'Dea, Yideng Shen, Cameron J. Shearer   +6 more
wiley   +1 more source

A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques

Results in Engineering
The dynamic variations in connected loads and the intermittent nature of renewable energy sources significantly impact smart grid reliability. Accurate load and generation forecasting stand pivotal for enhancing grid reliability and efficient operations.
Muhammad Sajid Iqbal, Muhammad Adnan, Salah Eldeen Gasim Mohamed, Muhammad Tariq   +3 more
doaj   +1 more source