Results 121 to 130 of about 24,428 (295)

Generative Models for Crystalline Materials

open access: yesAdvanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni   +15 more
wiley   +1 more source

A Mechanistic Study of Bio‐Based Nanotemplated Carbon Nanofibers Derived From Water Processable Lignin Blends for Sustainable Energy Storage Applications

open access: yesAdvanced Materials, EarlyView.
As‐spun carbon materials produced from Lignosulfonate, gelatin, and alginate, selected for water solubility, and ability to produce templated sustainable carbon nanostructures. Gelatin and alginate are sacrificial during thermal processing, allowing the production of engineered high surface area nanostructures, which are further characterized for ...
Judith Miralda‐Jalle   +6 more
wiley   +1 more source

Charge Transfer States in Donor–Acceptor Bulk‐Heterojunctions as Triplet–Triplet Annihilation Sensitizer for Solid‐State Photon Upconversion

open access: yesAdvanced Materials Interfaces, EarlyView.
A near‐infrared photosensitizer that facilitates efficient solid‐state photon upconversion by recycling triplets formed within a fullerene‐based donor–acceptor bulk‐heterojunction system is demonstrated. Spectroscopic investigations reveal that the energy of photogenerated charge transfer states of triplet character (3CT) is subsequently transferred to
Maciej Klein   +4 more
wiley   +1 more source

Engineering Quantum Error Correction Codes Using Evolutionary Algorithms

open access: yesIEEE Transactions on Quantum Engineering
Quantum error correction and the use of quantum error correction codes are likely to be essential for the realization of practical quantum computing.
Mark A. Webster, Dan E. Browne
doaj   +1 more source

Phonon Engineering in Ultrathin Sn Films

open access: yesAdvanced Materials Interfaces, EarlyView.
When embedded in multilayer structures, ultrathin Sn layers demonstrate strongly modified vibrational density of states (VDOS). This allows engineering a drastic increase of the Lamb‐Mössbauer factor fLM$f_{\text{LM}}$ and thereby of the cross‐section for coherent excitation of the ultrasharp nuclear resonance of 119Sn$^{119}{\rm Sn}$. This enables the
Sven Velten   +9 more
wiley   +1 more source

Distributed quantum error correction for chip-level catastrophic errors [PDF]

open access: green, 2022
Qian Xu   +7 more
openalex   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

open access: yesAdvanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz   +5 more
wiley   +1 more source

Probing the Page transition via approximate quantum error correction

open access: yesJournal of High Energy Physics
In recent years, there is a huge progress in understanding the black hole information problem, and the key is that the black hole entropy of radiation should be calculated by the island formula, which describes the Page curve to ensure the unitarity of ...
Haocheng Zhong
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +1 more source

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