Results 121 to 130 of about 259,803 (278)

Self‐Cooling Molecular Spin Qudits

Advanced Materials, EarlyView.
A material made of [GdEr] molecular dimers can encode a qudit and perform as a magnetic refrigerant. Microwave resonant pulses coherently manipulate its 16 spin states, while direct demagnetization measurements cool the material and a device down to temperatures below 1 K.
Elías Palacios, David Aguilà, David Gracia, Diamatoula Maniaki, Leoní A. Barrios, Alessandro Chiesa, Jesús I. Martínez, Valentin Novikov, Olivier Roubeau, Stefano Carretta, Marco Evangelisti, Guillem Aromí, Fernando Luis   +12 more
wiley   +1 more source

Using Differential Evolution to avoid local minima in Variational Quantum Algorithms. [PDF]

Sci Rep, 2023
Faílde D, Viqueira JD, Mussa Juane M, Gómez A.   +3 more
europepmc   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

Biomolecular and quantum algorithms for the dominating set problem in arbitrary networks. [PDF]

Sci Rep, 2023
Wong R, Chang WL, Chung WY, Vasilakos AV.   +3 more
europepmc   +1 more source

Excited State Opto‐Ionic Reservoir Computing in Hybrid Perovskite Electrochemically‐Gated Luminescent Cells

Advanced Materials, EarlyView.
A neuromorphic computing system exploiting opto‐ionic modulation in lead halide perovskite microcrystals demonstrates high‐dimensional reservoir dynamics with diffraction‐limited node resolution. Leveraging ultrafast excited‐state interactions, it achieves efficient computation (800 pJ/node‐operation), robustly distinguishing 4‐bit pulse sequences ...
Philipp Kollenz, Carina Herrle, Leonard Göhringer, Nasrin Solhtalab, Tom Wickenhäuser, Wolfram Pernice, Rüdiger Klingeler, Felix Deschler   +7 more
wiley   +1 more source

On the Robustness of Quantum Algorithms for Blockchain Consensus. [PDF]

Sensors (Basel), 2022
Ullah MA, Setiawan JW, Ur Rehman J, Shin H.   +3 more
europepmc   +1 more source

Operando X‐ray Spectroscopy Study of Pd and Pd–Au Laterally Condensed Catalysts during Selective Acetylene Hydrogenation: The Role of Carbon

Advanced Materials, EarlyView.
The selective hydrogenation of acetylene over laterally condensed Pd and Pd–Au catalysts (LCCs) was investigated using operando X‐ray absorption and photoelectron spectroscopy in combination with density functional theory. Pd‐LCCs were found to incorporate significantly more carbon into the metal lattice than Pd–Au LCCs, where the carbon uptake governs
Eylül Öztuna, Thomas Götsch, Daniel Cruz, Patrick Zeller, Olga V. Vinogradova, Zehua Li, Christian Rohner, Franz‐Philipp Schmidt, Zahra Gheisari, Alexander Steigert, Martin Muske, Michael Hävecker, Eugen Stotz, Iryna Antonyshyn, Frank Girgsdies, Olaf Timpe, Thomas Lunkenbein, Vanessa J. Bukas, Karsten Reuter, Robert Schlögl, Katarzyna Skorupska, Axel Knop‐Gericke, Beatriz Roldán Cuenya   +22 more
wiley   +1 more source

Implementation of Quantum Algorithms via Fast Three-Rydberg-Atom CCZ Gates. [PDF]

Entropy (Basel), 2022
Tang S, Yang C, Li D, Shao X.
europepmc   +1 more source

The geometry of quantum learning

, 2003
Concept learning provides a natural framework in which to place the problems solved by the quantum algorithms of Bernstein-Vazirani and Grover. By combining the tools used in these algorithms--quantum fast transforms and amplitude amplification--with a ...
Hunziker, Markus, Meyer, David A., Park, Jihun, Pommersheim, James, Rothstein, Mitch   +4 more
core   +2 more sources

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source