Results 61 to 70 of about 88,519 (199)
Advanced Science, EarlyView.This study uncovers two overlooked bottlenecks in cryogenic laser cooling of solids: symmetry‐driven fluorescence trapping and water vapor condensation. We demonstrate that breaking sample symmetry enhances fluorescence escape, while condensation dominates parasitic heating below 135 K.
Biao Zhong +5 more
wiley +1 more source
Advanced Science, EarlyView.A bidirectionally thermochromic nanocolloid system is developed for facility agriculture. The bidirectional and wide‐temperature response dynamically modulates light radiation, stabilizing the indoor climate, improving supplemental lighting efficiency, and accelerating plant photosynthesis.
Qinbo Jiang, Jiayi Li, Hui Zhang
wiley +1 more source
Electrochemical Nitrate Reduction Reaction to Ammonia at Industrial‐Level Current Densities
Advanced Science, EarlyView.This review starts from the mechanism and theoretical basis of electrochemical nitrate reduction reaction (NO3−RR), and systematically summarizes and discusses the design strategies of industrial‐level current density catalysts. In addition, the progress of industrial‐level NO3−RR‐based electrolyzers, including flow reactor and membrane electrode ...
Zhijie Cui +4 more
wiley +1 more source
Robust C–V Ratio Technique for Profiling Defects in Proton‐Irradiated 4H‐SiC
Advanced Electronic Materials, EarlyView.A noise‐robust C–V ratio technique is introduced to profile radiation‐induced defects in proton‐irradiated 4H‐SiC Schottky diodes. By using analytical capacitance ratios instead of numerical differentiation, the method directly extracts trap‐density and effective trap‐energy profiles at room temperature.
Kibeom Kim +4 more
wiley +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 +21 more
wiley +1 more source
Shedding Light on Common Misinterpretations in Photocatalyst Characterization
Advanced Energy Materials, EarlyView.For heterogeneous semiconductor‐based photocatalysts, Marschall et al. highlight common misconceptions in material synthesis, characterization, and performance evaluation, together with detailed explanations on how to avoid them. The guidelines thus presented can help to improve reporting of photocatalyst performance in environmental applications, such
Roland Marschall +2 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
On the foundation of equilibrium quantum statistical mechanics
, 1997 We discuss the condition for the validity of equilibrium quantum statistical mechanics in the light of recent developments in the understanding of classical and quantum chaotic motion.
Casati, Giulio
core +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source