Results 151 to 160 of about 527 (251)

First 20 Years of Orbitrap Mass Spectrometry as the Mainstream Analytical Technique

Mass Spectrometry Reviews, EarlyView.
ABSTRACT This review traces the first 20 years of Orbitrap mass spectrometry as a mainstream high‑resolution and accurate‑mass (HR/AM) technology. It outlines the historical development of the Orbitrap analyzer, the evolution of major instrument families, and the key technological innovations that enabled its widespread adoption. Particular emphasis is
Alexander Makarov
wiley   +1 more source

Emergent topological semimetal from quantum criticality. [PDF]

Nat Phys
Kirschbaum DM, Chen L, Zocco DA, Hu H, Mazza F, Karlich M, Lužnik M, Nguyen DH, Larrea Jiménez J, Strydom AM, Adroja D, Yan X, Prokofiev A, Si Q, Paschen S.   +14 more
europepmc   +1 more source

A Stopped‐Flow Instrument for Millisecond Timescale Reaction Monitoring on a Standard NMR Spectrometer

Magnetic Resonance in Chemistry, EarlyView.
A new stopped‐flow instrument allows kinetic measurements of reactions 10 milliseconds after initiating them by mixing in a flow cell inserted into a standard NMR probe and spectrometer. High‐speed video, pressure and NMR line‐shape data are used to characterise mixing and stopping, and a protodeboronation reaction with a 5‐millisecond half‐life used ...
Andrew M. R. Hall, Edward J. King, Lloyd A. L. Mitchell, George A. Steedman, Stuart Johnstone, Clark Landis, Guy C. Lloyd‐Jones   +6 more
wiley   +1 more source

A compact, lightweight, variable-energy cyclotron for conventional and FLASH ion beam radiotherapy. [PDF]

Front Oncol
Winklehner D, Minervini JV, Bromberg L, Forton E, Mandrillon J, Michael PC, Radovinsky A.   +6 more
europepmc   +1 more source

A Modified Balanced Steady State Free Precession Sequence for Overhauser Magnetic Resonance Imaging

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Low‐ and ultralow‐field magnetic resonance imaging (ULF MRI) have inherently low signal‐to‐noise ratio (SNR) by design. Overhauser dynamic nuclear polarization (ODNP) stands out as an effective solution for continuous signal enhancement.
Kai Buckenmaier, Friedemann Bullinger, Georgiy Alekseevich Solomakha, Marcel Schneider, Jörn Engelmann, Philipp Pohlmann, Pavel Povolni, Laura Kuebler, André Ferreira Martins, Klaus Scheffler   +9 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Pretreatment Multi-sequence Contrast-Enhanced MRI to Predict Response to Immunotherapy in Unresectable Hepatocellular Carcinoma Using Transformer: A Multicenter Study. [PDF]

J Cancer
Chen J, Chen J, Ye Y, Lu L, Guo X, Gao S, Liu L, Yang H, Lin C, Chen X.   +9 more
europepmc   +1 more source

Application of Superconducting Technology to Electric Power Apparatuses. Superconducting Transformers.

The Journal of The Institute of Electrical Engineers of Japan, 1997
openaire   +2 more sources

A comprehensive monitoring of physico‐chemical properties of water by magnetization and impedance spectroscopy

River, EarlyView.
Abstract This study describes the effect of electromagnetic field (EMF) treatment on the chemical and electrical properties of tap water. It also contributes to a better understanding of the influence of this technique on the physicochemical properties of water exposed to different treatment times by an EMF generated by the Aqua 4D.
Abderrahmane Elmelouky, Hillary Musungu, Mohammad S. Islam, Ahmed M. Tawfeek, Mohammed Salah, George G. Njema, Joshua K. Kibet   +6 more
wiley   +1 more source

Learning high-accuracy error decoding for quantum processors. [PDF]

Nature
Bausch J, Senior AW, Heras FJH, Edlich T, Davies A, Newman M, Jones C, Satzinger K, Niu MY, Blackwell S, Holland G, Kafri D, Atalaya J, Gidney C, Hassabis D, Boixo S, Neven H, Kohli P.   +17 more
europepmc   +1 more source