Results 201 to 210 of about 154,173 (259)

Deep Ensemble learning and quantum machine learning approach for Alzheimer's disease detection. [PDF]

Sci Rep
Jenber Belay A, Walle YM, Haile MB.
europepmc   +1 more source

Mechanistic Considerations for Battery Charging Protocol Design

Advanced Energy Materials, EarlyView.
This review bridges practical fast‐charging protocols with fundamental mechanisms of SOC‐dependent structural and compositional changes in electrode materials, kinetic limitations such as polarization and inhomogeneity, and heat generation characteristics shaped by protocol design.
Wenlong Li, Ayrton Yanyachi, Junyi Xia, Saravana Kuppan, Jigang Zhou, Yixian Wang, Yanfei Li, Piero Pianetta, Kejie Zhao, David Mitlin, Ofodike Ezekoye, Jie Xiao, Junmin Wang, Yijin Liu   +13 more
wiley   +1 more source

Publisher Correction: Overcoming the coherence time barrier in quantum machine learning on temporal data. [PDF]

Nat Commun
Hu F, Khan SA, Bronn NT, Angelatos G, Rowlands GE, Ribeill GJ, Türeci HE.   +6 more
europepmc   +1 more source

Δ-Quantum machine-learning for medicinal chemistry.

Phys Chem Chem Phys, 2022
Atz K, Isert C, Böcker MNA, Jiménez-Luna J, Schneider G.   +4 more
europepmc   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Transition role of entangled data in quantum machine learning. [PDF]

Nat Commun
Wang X, Du Y, Tu Z, Luo Y, Yuan X, Tao D.   +5 more
europepmc   +1 more source

Experimental kernel-based quantum machine learning in finite feature space. [PDF]

Sci Rep, 2020
Bartkiewicz K, Gneiting C, Černoch A, Jiráková K, Lemr K, Nori F.   +5 more
europepmc   +1 more source

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

Advanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said, Ghouti Abdellaoui, Mohammed Benali Kanoun   +2 more
wiley   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source