Results 191 to 200 of about 30,090 (307)

Evaluation of a nanosecond dissipative soliton resonance fiber laser for multiphoton microscopy. [PDF]

Sci Rep
Kunio K, Bojęś P, Soboń G, Krzempek K, Bogusławski J.   +4 more
europepmc   +1 more source

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

Advanced 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, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Laser-Based QR Code Marking on Double Film-Coated Tablets: Balancing Marking Efficiency and Tablet Integrity-A Step Toward Safer Medicines. [PDF]

Pharmaceutics
Shammout H, Hopp B, Smausz T, Bohus J, Jójárt-Laczkovich O, Cseh M, Kopniczky J, Tari B, Saker R, Kristó K, Sovány T, Ludasi K.   +11 more
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Measurement of ion acceleration and diffusion in a laser-driven magnetized plasma. [PDF]

Nat Commun
Chu JTY, Halliday JWD, Heaton C, Moczulski K, Blazevic A, Schumacher D, Metternich M, Nazary H, Arrowsmith CD, Bell AR, Beyer KA, Bott AFA, Campbell T, Hansen E, Lamb DQ, Miniati F, Neumayer P, Palmer CAJ, Reville B, Reyes A, Sarkar S, Scopatz A, Spindloe C, Stuart CB, Wen H, Tzeferacos P, Bingham R, Gregori G.   +27 more
europepmc   +1 more source

Next‐Generation Water Treatment With Molybdenum Disulfide: Dual‐Functionality in Pollutant Adsorption and Photocatalysis

Advanced Materials Technologies, EarlyView.
ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi, Gunjan Chauhan, Phil Hart, Samarjeet Singh Siwal, Vijay Kumar Thakur   +4 more
wiley   +1 more source

Entanglement and electronic coherence in attosecond molecular photoionization. [PDF]

Nature
Koll LM, Suñer-Rubio AJ, Witting T, Bello RY, Palacios A, Martín F, Vrakking MJJ.   +6 more
europepmc   +1 more source

Controlling Film Formation in Inkjet‐printed MAPbBr3 Through Graphene Incorporation for Enhanced Photodetection

Advanced Materials Technologies, EarlyView.
This work highlights the impact of incorporating graphene nanoflakes into precursor inks of MAPbBr3 for inkjet‐printed optoelectronic device applications. A substantial modification of the crystallization dynamics is reported despite miniscule concentrations.
Kenneth Lobo, Javier Bartolomé, María Vila, Giovanni Vescio, Raúl I. Sánchez‐Alarcón, Junaid Khan, Júlia Marí Guaita, Francisco Palacio Bonet, Juan P. Martínez‐Pastor, Sergi Hernández, Blas Garrido, Carmen Coya, Albert Cirera   +12 more
wiley   +1 more source

Multimodal ion-gated transistor based on 2D superionic conductor for in-memory computing in deep learning. [PDF]

Nat Commun
Tong B, Du T, Du J, Yu X, Tong J, Xu J, Li W, Liu Z, Li C, Ren W.   +9 more
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source