Results 241 to 250 of about 530,552 (358)

The Group-Algebraic Formalism of Quantum Probability and Its Applications in Quantum Statistical Mechanics. [PDF]

Entropy (Basel)
Gu Y, Wang J.
europepmc   +1 more source

THE GLIMM IDEAL SPACE OF A TWO-STEP NILPOTENT LOCALLY COMPACT GROUP [PDF]

, 2001
Eberhard Kaniuth, William Moran
openalex   +1 more source

A nondevelopable locally compact hausdorff space with a Gδ-diagonal

, 1972
D. Burke
semanticscholar   +1 more source

Sustainable Bioethanol Production from Soft Tissue Waste: Combining Hybrid Hydrolysis, Yeast Fermentation, and Membrane‐Based Separation

Advanced Energy and Sustainability Research, EarlyView.
This study offers a sustainable approach for converting soft tissue waste into bioethanol, promoting the transition from fossil fuels to renewable energy. Employing hybrid hydrolysis and the yeast Hanseniaspora uvarum, a glucose yield of 10.86 g L−1 is attained, with optimal bioethanol production reaching 7.55 g L−1, highlighting the potential of soft ...
Ahmed E. Mansy, Eman A. El Desouky, Ahmed I. Osman, Tarek H. Taha, Mohamed. A. Abu‐Saied, Hamada El‐Gendi, Zhen‐Yu Tian, Ranya A. Amer   +7 more
wiley   +1 more source

A General Strategy to Fine‐Tune Group 14 Rhodamines for Ultrahigh Signal‐to‐Noise Ratio Labeling In Vivo by Nano‐Aggregation

Aggregate, EarlyView.
Group 14 rhodamines are one of the most widely explored fluorogenic probes with high signal‐to‐noise ratio (SNR). We have boosted the SNR of group 14 rhodamines by nano‐aggregation via a novel strategy by manipulating their dynamic physical and chemical states for the first time. The ultrahigh SNR fluorescence imaging offers a fundamental understanding
Ning Wang, Ting Wang, Mengting Fan, Chen Li, Yue Tian, Xiaoyan Cui   +5 more
wiley   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

In‐Sensor Reservoir Computing Using Ferroelectric Optoelectronic Synapse for Near‐Infrared Face Recognition

Advanced Intelligent Systems, EarlyView.
Near‐infrared reservoir computing system has been realized by using α‐In2Se3 optoelectronic device with concise device and algorithm architecture, achieving high accuracy near 100% and noise robustness in face recognition tasks. These findings demonstrate 2D ferroelectric device‐based optoelectronic RC system as a compact and efficient computing ...
Wenyu Songlu, Quan Chen, Yi Cao, Han Wang, Han Chen, Weihui Sang, Yang Gan, Shijia Tian, Yuan Yu, Zhou Xin, Yukang Chen, Shuming Guo, Lin Wang, Xumeng Zhang, Tao Liu, Du Xiang   +15 more
wiley   +1 more source

A new approach to weighted Sobolev spaces. [PDF]

Mon Hefte Math
Kebiche D.
europepmc   +1 more source