Results 151 to 160 of about 1,020 (183)

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

Ambiguity and free will: the topology of decision in quantum and quantum-like sciences. [PDF]

Philos Trans A Math Phys Eng Sci
Plotnitsky A.
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

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

The QCML dataset, Quantum chemistry reference data from 33.5M DFT and 14.7B semi-empirical calculations. [PDF]

Sci Data
Ganscha S, Unke OT, Ahlin D, Maennel H, Kashubin S, Müller KR.   +5 more
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Mathematical discoveries from program search with large language models. [PDF]

Nature
Romera-Paredes B, Barekatain M, Novikov A, Balog M, Kumar MP, Dupont E, Ruiz FJR, Ellenberg JS, Wang P, Fawzi O, Kohli P, Fawzi A.   +11 more
europepmc   +1 more source

Planned synchronization for multi-robot systems with active observations. [PDF]

Auton Robots
Zhong P, Rossi F, Shell DA.
europepmc   +1 more source

Tablet-based arithmetic fluency assessment reveals developments in math cognition and math achievement from childhood to adolescence. [PDF]

NPJ Sci Learn
Roy E, Guillaume M, Van Rinsveld A, Project iLead Consortium, McCandliss BD.   +4 more
europepmc   +1 more source

Adaptive Transition-State Refinement with Learned Equilibrium Flows. [PDF]

J Chem Inf Model
Darouich S, Tong V, Bien T, Kästner J, Niepert M.   +4 more
europepmc   +1 more source