Results 61 to 70 of about 202,082 (276)

Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries

Advanced Functional Materials, EarlyView.
Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu, Zhenfeng Li, Yue Fei, Ali Mohammadi, Ge Li   +4 more
wiley   +1 more source

A High-Performance Triple Patterning Layout Decomposer with Balanced Density [PDF]

, 2013
Triple patterning lithography (TPL) has received more and more attentions from industry as one of the leading candidate for 14nm/11nm nodes. In this paper, we propose a high performance layout decomposer for TPL.
Ding, Duo, Lin, Yen-Hung, Lucas, Kevin, Luk-Pat, Gerard, Pan, David Z., Yu, Bei   +5 more
core   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

Species-wise Assessment of Above-Ground Biomass and Carbon Sequestration Potential in the Mangroves of Maharashtra, India [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Mangroves are highly productive ecosystems and are considered the largest potential sinks of atmospheric carbon. However, variability among species and communities significantly influences total carbon stock.
S. Pardeshi, M. Chavan, M. Kale, M. Khare, N. Lele   +4 more
doaj   +1 more source

Analysis on tailed distributed arithmetic codes for uniform binary sources [PDF]

, 2016
Distributed Arithmetic Coding (DAC) is a variant of Arithmetic Coding (AC) that can realise Slepian-Wolf Coding (SWC) in a nonlinear way. In the previous work, we defined Codebook Cardinality Spectrum (CCS) and Hamming Distance Spectrum (HDS) for DAC. In
Cheng, Samuel, Fang, Yong, Stankovic, Vladimir, Yang, En-hui   +3 more
core   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Comprehensive Study of Entanglement Photon Source: Bulk Optics, Waveguides and Integrated Photonic Chip Hardware [PDF]

EPJ Web of Conferences
In quantum technology, entanglement is the key resource to perform experiments in quantum computing, quantum communication, quantum sensing and metrology.
H Sai Sidhartha, P Poonguzhali
doaj   +1 more source

Improved DAC driving scheme for OFDM applications [PDF]

, 2010
Presented is a 'Redundant Signed Digit' driving scheme for binary weighted D/A conversion. This scheme retains the simplicity of conventional binary weighted D/A conversion, but has greatly improved robustness with regard to parasitic effects, especially
Catteau, Benoit, Rombouts, Pieter, Weyten, Ludo   +2 more
core   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

EXPLORING MACHINE LEARNING CLASSIFICATION ALGORITHMS FOR CROP CLASSIFICATION USING SENTINEL 2 DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Crop Classification and recognition is a very important application of Remote Sensing. In the last few years, Machine learning classification techniques have been emerging for crop classification.
Neetu, S. S. Ray
doaj   +1 more source