Results 241 to 250 of about 2,318,055 (330)

Broadband Directional Thermal Radiation with Asymmetric Femtosecond Laser‐Processed Surfaces

Advanced Optical Materials, EarlyView.
Femtosecond laser processing is used to scalably create self‐organized angled microstructures which exhibit highly directional emissivity that occurs for all polarizations. Laser parameters are tuned to alter the surface features, control the direction of emission, and enhance the directional emissivity. Electromagnetic modeling is performed to analyze
Andrew Butler, Andrew Reicks, Jack Schulz, Patrick Hayden, Alireza Kalantari Dehaghi, Kira Marr, Linxiao Zhu, Christos Argyropoulos, Craig Zuhlke   +8 more
wiley   +1 more source

Morphological characteristics of lumbar vertebral bodies and regional distribution patterns of bone mineral density: a CT study. [PDF]

Front Physiol
Li X, Lv F, Tang X, Jia P, Gao Y.
europepmc   +1 more source

Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning

Advanced Optical Materials, EarlyView.
Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam, Chan Y. Park, Min Seok Jang   +2 more
wiley   +1 more source

Data-driven combination of METAR observations and CAMS reanalysis aerosols to enhance satellite retrieval of surface solar irradiance. [PDF]

Sci Rep
Roy A, Heinemann D, Schroedter-Homscheidt M, Lezaca Galeano JE.   +3 more
europepmc   +1 more source

Harnessing Ultrafast Optical Pulses for 3D Microfabrication by Selective Tweezing and Immobilization of Colloidal Particles in an Integrated System

Advanced Photonics Research, Volume 6, Issue 5, May 2025.
Microfabrication using nano‐ to micron‐sized blocks has transformative potential for next‐gen electronics, optoelectronics, and materials. Traditional methods are limited by scalability and precision. STIC, a single‐laser system for precise colloid manipulation and immobilization using femtosecond lasers, is introduced that enables efficient 3D ...
Krishangi Krishna, Jieliyue Sun, Wenyu Liu, Robert H. Hurt, Kimani C. Toussaint Jr.   +4 more
wiley   +1 more source

Gradient-Driven Physics Informed Neural Networks for Conduction Heat Transfer and Incompressible Laminar Flow. [PDF]

J Comput Nonlinear Dyn
Lu T, Shahadat MRB, Liu Q, He R, Jiang X, Li Z.   +5 more
europepmc   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Multi-UAV-Borne Surveillance Radar Trajectory Planning Method Based on Imitation Learning. [PDF]

Sensors (Basel)
Gao X, Li M, Guan K, Ge J.
europepmc   +1 more source

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Development of automated machine learning models in predicting colorectal adenoma in metabolic-associated steatotic liver disease. [PDF]

Front Med (Lausanne)
Liu L, Zhang H, Zhao Z, Xu C, Qu S.
europepmc   +1 more source