Results 101 to 110 of about 1,570,866 (257)

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

Advanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger, Maximilian M. Horn, Eva Röck, Diego Rosas Villalva, Lize Bynens, Jochen Vanderspikken, Christina Kousseff, Silène Gobeil, Olivier Bardagot, Nesibe Akmanşen‐Kalayci, Sarah H. Tolbert, Iain McCulloch, Wouter Maes, Demetra Tsokkou, Natalie Banerji   +14 more
wiley   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Multivariate Gram-Charlier Densities [PDF]

This paper introduces a new family of multivariate distributions based on Gram-Charlier and Edgeworth expansions. This family encompasses many of the univariate seminonparametric densities proposed in the financial econometrics as marginal distributions ...
Perote, Javier, Ñíguez, Trino-Manuel, Del Brio, Esther B.   +2 more
core  

Evolution of OLED Lamination Technology With Development of Display Form Factors

Advanced Materials Technologies, EarlyView.
This review evaluates the evolution of organic light‐emitting diode (OLED) lamination technologies alongside advancing display form factors. It contrasts optically clear adhesives and resins, highlighting uniformity control for rigid screens, bubble‐free optimization for bended architectures, and visible‐light curing for foldable layers.
Kwan‐Young Han, Ji‐Hoon Park
wiley   +1 more source

Fitting discrete multivariate distributions with unbounded marginals and normal-copula dependence

, 2009
In specifying a multivariate discrete distribution via the NORmal To Anything (NORTA) method, a problem of interest is: given two discrete unbounded marginals and a target value r, find the correlation of the bivariate Gaussian copula that induces rank ...
Avramidis, Athanassios
core   +2 more sources

Upscaling Pulsed Laser Fragmentation in Liquids by Advanced Free‐Flow Setups

Advanced Materials Technologies, EarlyView.
Advanced flow setups providing thin colloid films are introduced to upscale pulsed laser fragmentation in liquids for sustainable nanoparticle synthesis. Their potential is demonstrated by yielding remarkably small ZnO nanoparticles of <7 nm. Numerical simulations complement the study, revealing that the superior performance can be attributed to ...
Jan Lino Kricke, Zongwen Fu, Sebastian Burgmann, Uwe Janoske, Carlos Doñate‐Buendía, Bilal Gökce   +5 more
wiley   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

A systematic literature review of multivariate normal variance-mean mixture representations in pharmacokinetic studies

Proceedings of the Nigerian Society of Physical Sciences
The NVMM framework is an integrated approach that extends the normal distribution by including heavy-tail properties. In spite rapid methodological advances in this distribution family, large amount of literature only focuses on mixing densities that ...
Chukwuemeka Lawrence Ani, Musa Tasi’u, Abubakar Usman, Yahaya Zakari   +3 more
doaj   +1 more source