Results 211 to 220 of about 37,534 (304)

Dielectric Permittivity Tensor of Muscovite for Next Generation All Van Der Waals Broadband Photonic Components

Advanced Optical Materials, EarlyView.
Low‐index and low‐loss vdW muscovite represents an emerging robust dielectric platform for the creation of next‐generation all‐vdW nanophotonic architectures. Its utilization as a low‐index building‐block in all‐vdW multilayers enables extreme optical contrast when paired with MoS2, paving the way to the realization of few‐layer ultrathin DBS ...
Meri H. Hayrapetyan, Maksim L. Sargsyan, Davit A. Karakhanyan, Ani P. Khachatryan, Maria A. Levonyan, Dmitrii Litvinov, Maciej Koperski, Artsruni V. Margaryan, Makars Šiškins, Konstantin S. Novoselov, Davit A. Ghazaryan   +10 more
wiley   +1 more source

Turning Light Into Matter: Programmable Microstructures Via Dose Control in Two‐Photon Polymerization

Advanced Optical Materials, EarlyView.
This work augments two‐photon polymerization with point‐wise dose control, enabling structures with heterogeneous material properties such as refractive index. An open source toolbox and superior calibration methodology for the refractive index pave the way for bio‐mimicking or numerically optimized structure designs, and enhance the synergy between 3D
Michał Ziemczonok, Koen Vanmol
wiley   +1 more source

AI-assisted automation will reduce the need for medical physics trainees and entry-level workforce. [PDF]

J Appl Clin Med Phys
Xia J, McMillan A, Wang D.
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

Cross-anatomical evaluation of a deep-learning auto-contouring system: qualitative, geometric, and dosimetric validation. [PDF]

J Appl Clin Med Phys
Endo S, Nakamura M, Fujisawa T, Hojo H, Tachibana H.   +4 more
europepmc   +1 more source

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

Mapping patients' and professionals' perceptions of artificial intelligence in radiotherapy: a scoping review. [PDF]

Tech Innov Patient Support Radiat Oncol
Carstensen FV, Irankunda BB, Molan D, van den Bongard D, Maraldo MV.   +4 more
europepmc   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Multimodal deep learning to support delineation of neuro-oncology organs based on the EPTN international neurological contouring atlas. [PDF]

Phys Imaging Radiat Oncol
Barragán-Montero AM, Huet-Dastarac M, Di Perri D, Hofstede D, Birimac NE, Geerts M, Roberfroid B, Quéré E, Lee JA, Roelofs E, van Elmpt W, Eekers DBP, Zegers CML.   +12 more
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source