Results 131 to 140 of about 146,281 (291)

Metal‐Organic Open‐Framework Molecular Magnet Based on Vanadium Hexacyanoferrate Prussian Blue Analogs as Cathode Material for Advanced Potassium Ion Aqueous Battery

Advanced Energy and Sustainability Research, EarlyView.
An aqueous potassium‐ion battery using vanadium hexacyanoferrate (VHCF) as the cathode and graphite as the anode is presented. During charge/discharge, K+ ions shuttle between electrodes through the electrolyte, enabling energy storage. The VHCF material demonstrates high capacity (≈121 mAh g−1), fast kinetics, and eco‐friendliness, making it a ...
Nilasha Maiti, Pramod Bhatt, Mayuresh D. Mukadam, Manoj K. Sharma, Sher Singh Meena, Himal Bhatt, Katsuya Inoue, Kenya Shimada, Masahiro Sawada, Frank M. F. de Groot, Seikh Mohammad Yusuf   +10 more
wiley   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Quantum Interference Effect in Saturated Systems: Effect of Anchoring Group Position on Conductance of Bipiperidines and their in‐situ Derived Dithiocarbamates

Angewandte Chemie, EarlyView.
This study illustrates distinct quantum interference effect in saturated systems as compared to their unsaturated counterparts and the origin of multiple conductance features observed in single molecule conductance experiments of different isomers of bipiperdine and their in‐situ generated dithiocarbamates.
Umar Rashid, Abdalghani H. S. Daaoub, PA. Sreelakshmi, Sara Sangtarash, Hatef Sadeghi, Veerabhadrarao Kaliginedi   +5 more
wiley   +2 more sources

Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars

Advanced Intelligent Systems, EarlyView.
The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and implementation for practical (non‐ideal) NP‐hard problems with destabilizing self‐feedback (non‐zero diagonal) and non‐binary Hamiltonian representations under analog
Jinzhan Li, Suhas Kumar, Su‐in Yi
wiley   +1 more source

Spin Interactions in Supramolecular Assemblies of Porphyrin Oligomer Radical Anions

Angewandte Chemie, EarlyView.
Double‐strand porphyrin ladder complexes offer an excellent way to hold two spin centers in a well‐defined structure. Nutation experiments on the dianion of such complexes confirm the presence of doublet and triplet species. Spin dynamics simulations show that the emergence of these higher multiplicities can be fully accounted for by considering the ...
Janko Hergenhahn, Sebastian M. Kopp, Henrik Gotfredsen, Kan Tang, Stephen Barlow, Seth R. Marder, Christiane R. Timmel, Harry L. Anderson   +7 more
wiley   +2 more sources

Is Computing with Light All You Need? A Perspective on Codesign for Optical Artificial Intelligence and Scientific Computing

Advanced Intelligent Systems, EarlyView.
This perspective article considers what computations optical computing can and should enable. Focusing upon free‐space optical computing, it argues that a codesign approach whereby materials, devices, architectures, and algorithms are simultaneously optimized is needed.
Prasad P. Iyer, Gaurang R. Bhatt, Saaketh Desai, Elliot J. Fuller, Corinne M. Teeter, François Léonard, Craig M. Vineyard   +6 more
wiley   +1 more source

Nucleic Acid‐Based Molecular Machines for Biological Applications

Advanced NanoBiomed Research, EarlyView.
Molecular machines are devices assembled from molecules with specific functions. In this review, the development of DNA nanostructures, which are then assembled into molecular machines, is summarized. Their classification and biological applications, such as biosensing, targeted therapy, and molecular circuits are introduced.
Yirong Guo, Xiaolei Zuo, Fangfei Yin
wiley   +1 more source

Signatures of the Correlated‐Hopping Interaction in Non‐Linear Transport Through a Quantum Dot

Annalen der Physik, EarlyView.
Non‐linear thermoelectric transport through a quantum dot is studied, in order to elucidate the signatures of so‐called correlated hopping. The line shapes of the differential conductance and the Seebeck coefficient as functions of gate voltage are clear indicators of this important interaction term.
Ulrich Eckern, Karol I. Wysokiński
wiley   +1 more source

Benefits of Open Quantum Systems for Quantum Machine Learning

Advanced Quantum Technologies, EarlyView., 2023
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio, Lucas Lamata, Jesús Casado‐Pascual   +2 more
wiley   +1 more source

Comparison of Two Optimization Methods for a Rydberg Quantum Gate

Annalen der Physik, EarlyView.
Quantum gates are the backbone of digital quantum computing. A shortcut‐to‐adiabaticity is compared with a numerically optimized protocol for a Rydberg gate. The counterdiabatic method offers an analytical framework for accelerating high‐fidelity gates by mimicking the time evolution of a counterdiabatic Hamiltonian using fast‐oscillating fields.
Luis S. Yagüe Bosch, Sandro Wimberger
wiley   +1 more source