Results 191 to 200 of about 96,436 (259)

SPICE‐Compatible Compact Modeling of Cuprate‐Based Memristors Across a Wide Temperature Range

Advanced Electronic Materials, EarlyView.
A physics‐guided compact model for YBCO memristors is introduced, incorporating carrier trapping, field‐induced detrapping, and a differential balance equation to describe their switching dynamics. The model is compared with experiments and implemented in LTspice, allowing realistic circuit‐level simulations.
Thomas Günkel, Aleix Barrera, Lluís Balcells, Narcís Mestres, Enrique Miranda, Anna Palau, Jordi Suñé   +6 more
wiley   +1 more source

Postexercise Lactate Clearance, T₂ Relaxation, and J-Modulation in Human Skeletal Muscle Measured With Double-Quantum Filtered ¹H MRS at 7 T. [PDF]

Magn Reson Med
Repnin K, Rocha Dos Santos VR, Cap V, Frass-Kriegl R, Trattnig S, Kemp GJ, Meyerspeer M.   +6 more
europepmc   +1 more source

Silicon Nitride Resistive Memories

Advanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis, Nikolaos Vasileiadis, Iosif‐Angelos Fyrigos, Emmanouil Stavroulakis, Caroline Bonafos, Pascal Normand, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis   +7 more
wiley   +1 more source

Adaptive intelligent controller for a lower limb rehabilitation robot using QAOA-based online membership optimization. [PDF]

Sci Rep
Abd-Elhaleem S, El-Garawany AH, El-Brawany M.   +2 more
europepmc   +1 more source

QuSim-Join: Provably Optimal Quadratic Speedup in Set Similarity Joins via Quantum Amplitude Estimation

Proceedings of the 3rd workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications
Prateek P. Kulkarni, A. Alam
semanticscholar   +1 more source

Engineering a Correlated Narrow‐Gap Semiconductor: Effects of Ga Substitution in EuZn2P2

Advanced Electronic Materials, EarlyView.
ABSTRACT The effect of Ga substitution on the electronic, magnetic, and low‐energy responses of the Zintl phase EuZn2P2${\rm EuZn}_2 {\rm P}_2$ is investigated by electrical transport, electron spin resonance (ESR), and terahertz time‐domain spectroscopy (THz‐TDS). Incorporating Ga into EuZn2P2${\rm EuZn}_2 {\rm P}_2$ (EuZn1.8Ga0.2P2${\rm EuZn}_{1.8} {\
Mateus Dutra, Esteban Marulanda, Gustavo G. Vasques, Jaime Ferreira Oliveira, Pedro C. Sabino, Rebeca Brigato Delgado, Leticie Mendonça‐Fereira, Adriano R. V. Benvenho, Elisa Baggio‐Saitovitch, Ricardo K. Machado, Nicolas M. Kawahala, Julian Munevar, Marcos A. Avila, Felix G. G. Hernandez   +13 more
wiley   +1 more source

Shallow entangled circuits for quantum time series prediction on IBM devices. [PDF]

Sci Rep
Laskar MR, Goel R.
europepmc   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Coalition of explainable artificial intelligence and quantum computing in precision medicine. [PDF]

Comput Struct Biotechnol J
Ray S, Bhattacharya P, Mattar EA, Mukhopadhyay A.   +3 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source