Results 51 to 60 of about 2,520,335 (197)
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Optimizing quantum tomography via shadow inversion
In quantum information theory, the accurate estimation of observables is pivotal for quantum information processing, playing a crucial role in computational and communication protocols.
Andrea Caprotti +2 more
doaj +1 more source
A mechanochemically synthesized dual‐site electrocatalyst (RuNC@Fe1NC) accelerates alkaline hydrogen evolution via atomic‐level spatial decoupling. Oxophilic Fe single atoms effectively dissociate water, while adjacent Ru nanoclusters rapidly recombine hydrogen.
Jae‐Hoon Baek +9 more
wiley +1 more source
Increasing Lipid Nanoparticle mRNA Copy Number Improves Transfection Potency
As lipid nanoparticle (LNP) systems are the leading platform for in vivo nucleic acid delivery, improving transfection potency of these systems is of considerable interest. In this work, we explored a post‐mixing formulation method involving a two‐step buffer exchange that increased the number of mRNA copies within each LNP while reducing the number of
Yao Zhang +12 more
wiley +1 more source
Polymer‐derived SiCN(O) fibre mats enable anchoring of ultra‐low amounts of transition metals for efficient alkaline oxygen evolution. The distinct behaviour of Fe‐ and Ni‐based fibres highlights the importance of metal phase and support interactions in tailoring catalytic behaviour.
Eranezhuth Wasan Awin +5 more
wiley +1 more source
Three-dimensional (3-D) structural characterization of urban environments plays a vital role in smart city development, where SAR tomography (TomoSAR) has emerged as a pivotal technique for resolving vertical scatterer distributions.
Youjun Wang +6 more
doaj +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
This research introduces the Generalized Extreme Value Mixture Autoregressive (GEVMAR) model as an innovative approach for examining non-standard actuarial datasets within general insurance.
Chrisandi R. Lande +2 more
doaj +1 more source
Assessing the impact of tech-driven financial development and IT governance on environmental funds in emerging economies [PDF]
Type of the article: Research Article AbstractThe transition toward low-carbon economies has become a central environmental priority worldwide, requiring nations to allocate adequate resources for conservation efforts.
Alfonz Antoni +4 more
doaj +1 more source
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source

