Results 161 to 170 of about 3,448 (215)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Monolithic 3D‐Integrated All‐Solid Ion‐Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi‐Timescale Reservoir Computing

Advanced Materials, EarlyView.
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung, Hanbin Cho, Yongwoo Lee, Seunghun Baek, Hyeongjun Kim, Yun Goo Ro, Hyunhyub Ko, Joonki Suh, Yong‐Young Noh, Jimin Kwon   +9 more
wiley   +1 more source

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Dynamic Energy Trading for Energy Harvesting Communication Networks: A Stochastic Energy Trading Game

IEEE Journal on Selected Areas in Communications, 2015
This paper studies energy-harvesting communication systems in which different energy-harvesting devices (EHDs) can harvest different amounts of energy and transmit different numbers of data packets in different time slots. We introduce a dynamic energy trading framework that allows the EHDs to transfer and trade their harvested energy with each other ...
Yong Xiao 0001, Dusit Niyato, Zhu Han 0001, Luiz A. DaSilva   +3 more
openaire   +1 more source

Energy (In)Security and the Arms Trade

SSRN Electronic Journal, 2016
We provide novel empirical models of the arms trade and focus on the role of energy dependence, in particular of oil, in explaining the trade of weapons between countries. Dramatic geopolitical events such as wars can cause significant disruptions in the supply of oil and increase oil prices. Oil-dependent economies have therefore incentives to provide
Bove, Vincenzo, Deiana, Claudio, Nisticò, Roberto   +2 more
openaire   +1 more source

Merchant Energy Trading in a Network

Operations Research, 2018
We formulate the merchant trading of energy in a network of storage and transport assets as a Markov decision process with uncertain energy prices, generalizing known models. Because of the intractability of our model, we develop heuristics and both lower and dual (upper) bounds on the optimal policy value estimated within Monte Carlo simulation.
Selvaprabu Nadarajah, Nicola Secomandi
openaire   +1 more source

Blockchain Based Energy Trading

TENCON 2018 - 2018 IEEE Region 10 Conference, 2018
In 21st century one of the revolutionary technologies is Blockchain. It can bring regularity ideas to public and private sectors which improve the present management failures. To permit peer-to-peer transactions, Blockchiain maintains continuously growing list of records as a distributive database.
Ravi Kishore Kodali, Subbachary Yerroju, Borra Yatish Krishna Yogi   +2 more
openaire   +2 more sources

Energy independence of energy trading system in microgrid

2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2017
In recent years, interest in smart grids has increased globally along with the trend to reduce greenhouse gas emissions. One of the smart grid research area actively being done is energy trading in a microgrid. In particular, an energy trading system in the microgrid within an island should consider the own energy independence of the microgrid very ...
Minkyung Kim 0001, Sangdon Park, Jun Kyun Choi, Joohyung Lee 0001   +3 more
openaire   +2 more sources