Results 221 to 230 of about 25,119 (260)

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +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

Information-Theoretic Framework for Quantum State Purification and Error Correction via Symmetric Subspace Projection. [PDF]

Entropy (Basel)
Tang J, Wang MJ.
europepmc   +1 more source

Experimentally Determined Spatiotemporal Charge Carrier Dynamics for the Development of Particulate Photocatalysts

Advanced Energy Materials, EarlyView.
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley   +1 more source

OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions. [PDF]

Sensors (Basel)
Ahmed S, Osman Y, Cue L, Almazyad I, Albalawi NS, Saeed MK, Khokhar A.   +6 more
europepmc   +1 more source

Multi‐modal Operando Analysis of Lithium–Sulfur Batteries: A Comparative Study on the Influence of Electrolyte Composition

Advanced Energy Materials, EarlyView.
The influence of different electrolytes on Lithium–sulfur batteries is investigated. Multimodal operando analysis, including Raman, UV–vis, and Impedance spectroscopy is used to study degradation mechanisms. The solubility of polysulfides in the electrolyte is crucial for battery capacity and lifetime.
Oliver Löhmann, Pouya Partovi‐Azar, Mirco Ruttert, Sebastian Risse   +3 more
wiley   +1 more source

An entangling gate for dual-rail erasure qubits. [PDF]

Nature
D-Wave Quantum Inc..
europepmc   +1 more source

Correction to "Less is More: Can Low Quantum Capacitance Boost Capacitive Energy Storage?" [PDF]

J Phys Chem Lett
Verkholyak T, Kuzmak A, Kornyshev AA, Kondrat S.   +3 more
europepmc   +1 more source

Correction to "Vanadium Carbide Quantum Dots Exert Efficient Anti-Inflammatory Effects in Lipopolysaccharide-Induced BV2 Microglia and Mice". [PDF]

Small Sci
europepmc   +1 more source

Composable free-space continuous-variable quantum key distribution using discrete modulation. [PDF]

Sci Adv
Jaksch K, Dirmeier T, Weiser Y, Richter S, Bayraktar Ö, Hacker B, Rößler C, Khan I, Petscharning S, Grafenauer T, Hentschel M, Ömer B, Pacher C, Kanitschar F, Upadhyaya T, Lin J, Lütkenhaus N, Leuchs G, Marquardt C.   +18 more
europepmc   +1 more source