Results 111 to 120 of about 333,329 (255)
Scalable Thermal Engineering via Femtosecond Laser‐Direct‐Written Phononic Nanostructures
Advanced Functional Materials, EarlyView.This study demonstrates that femtosecond laser‐induced periodic surface structures (fs‐LIPSS) can function as phononic metasurfaces, reducing thermal conductivity below the plain thin‐film limit. Phonon Monte Carlo analysis reveals that the periodic structures restrict phonon mean free paths.
Hiroki Hamma +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Advanced Functional Materials, EarlyView.Applying a high electric field to a doped organic semiconductor heats up the charge carrier distribution beyond the lattice temperature, enhancing conductivity. It is shown that the associated effective temperature can be used to extract the effective localization length, which is a characteristic length scale of charge transport and provides ...
Morteza Shokrani +4 more
wiley +1 more source
Unveiling Multidimensional Physicochemical Design Principles for Tissue Processing Hydrogels
Advanced Functional Materials, EarlyView.This study establishes a materials‐based design framework for polymer hydrogels in tissue clearing, linking physicochemical properties to performance in tissue processing, labeling, and imaging. By analyzing rheology, swelling, porosity, antibody diffusion, mechanical performance, and thermochemical stability across platforms, this work provides a ...
Sangjae Kim +8 more
wiley +1 more source
Iranian Journal of Electrical and Electronic Engineering, 2021 Convolutional Neural Networks (CNNs) have been shown their performance in speech recognition systems for extracting features, and also acoustic modeling.
B. Nasersharif, N. Naderi
doaj
The Information Bottleneck: A Unied Information Theoretic View
, 2021 Technical University Berlin (TUB): Berlin, Germany, 5 July 2022: (Invited Talk): “The Information Bottleneck: A Unified Information Theoretic View”.
openaire +1 more source
Advanced Functional Materials, EarlyView.Alumina growth narrows surface pores and seals non‐selective defects, enhancing selectivity while preserving the nanoporous graphene architecture. Additionally, the deposition enables gradient‐controlled structural modification, with intergrown alumina acting as a physical cross‐linker that stabilizes the laminar structure.
Junhyeok Kang +8 more
wiley +1 more source
Inflation as an information bottleneck
, 2019 String Phenomenology 2019, Geneva, CERN, Switzerland, 24 Jun 2019 - 28 Jun ...
openaire +3 more sources
Recognizing Predictive Substructures With Subgraph Information Bottleneck [PDF]
IEEE Transactions on Pattern Analysis and Machine IntelligenceThe emergence of Graph Convolutional Network (GCN) has greatly boosted the progress of graph learning. However, two disturbing factors, noise and redundancy in graph data, and lack of interpretation for prediction results, impede further development of GCN.
Junchi Yu +5 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.Reducing power consumption in spintronic memory remains a major challenge due to the need for high current densities. A bilayer of gadolinium and holmium iron garnets enables purely temperature‐induced, nonvolatile magnetic switching with bistable states within a ±25 K range. This approach achieves up to 66‐fold lower energy use than current spin–orbit
Junseok Kim +3 more
wiley +1 more source