Results 91 to 100 of about 3,281,828 (252)
Diffusion in condensed matter: methods, materials, models
, 2005 Diffusion as the process of particle transport due to stochastic movement is a phenomenon of crucial relevance for a large variety of processes and materials.
Heitjans, Paul, Kärger, Jörg
core +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
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Light‐Driven Control of Polar Order in Ferroelectric Nematic Liquid Crystals
Angewandte Chemie, EarlyView.Light‐responsive ferroelectric nematics are achieved by molecularly matching azobenzene photo‐switches to the polar packing motif of DIO. This design yields intrinsically photo‐responsive ferroelectric nematic mesogens and optically addressable DIO blends, in which light reversibly modulates spontaneous polarization and switches between high‐ and low ...
Anjali Devi Das +5 more
wiley +2 more sources
Quasicrystals in soft condensed matter [PDF]
Acta Crystallographica Section A Foundations and Advances, 2015 openaire +1 more source
Advanced Intelligent Discovery, EarlyView.Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
50 th birthday of Christian von Ferber
, 2011 On May 15, 2011 Christian von Ferber – member of the Editorial Board of “Condensed Matter Physics” and renowned expert in the fields of soft matter physics and complex systems – celebrated his 50th ...
core
The Collective Power of Bacteria as a Blueprint for Emergent Intelligence
Advanced Intelligent Systems, EarlyView.Small cells, powerful collectives. Bacteria demonstrate how sophisticated behaviors can emerge from many simple individuals working together. We explore the remarkable world of bacterial communities and the mechanisms that underpin their complex emergent behaviors, enabling impressive adaptability, robustness, and responsiveness to changing ...
Johanna A. Blee +2 more
wiley +1 more source