Results 141 to 150 of about 33,969 (261)
Near-Term Quantum Classification Algorithms Applied to Antimalarial Drug Discovery. [PDF]
Dorsey MA +6 more
europepmc +1 more source
Synergy of Pd Clusters and TiO2 {101} for Photocatalytic Nonoxidative Coupling of Methane
This study presents photocatalytic nonoxidative coupling of methane over cal‐Pd0.05/TiO2{101}, achieving near 100% selectivity and long‐term stability under mild flow conditions through synergistic single atoms and clusters catalysis. ABSTRACT Photocatalytic nonoxidative coupling of methane (NOCM) offers a sustainable route to valorize CH4 into C2 ...
Jianlong Yang +2 more
wiley +1 more source
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue +6 more
wiley +1 more source
Experimentally Validated Quantum-Secure Federated Learning over a Multi-user Quantum Network. [PDF]
Liu ZP +8 more
europepmc +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Hybrid quantum-classical neural networks for real-time fault detection in power systems. [PDF]
Hashmi H +7 more
europepmc +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning in the NISQ Era. [PDF]
Placidi L +6 more
europepmc +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source

