Results 231 to 240 of about 370,356 (314)

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source

Mechanically Spatio‐Chimeric Fibrin Assembly Enables Vascular‐Integrated Muscle Reconstruction for Volumetric Muscle Loss Repair

Advanced Materials, EarlyView.
SPARC (spatio‐chimeric, plasma‐based, anisotropic, and shear‐responsive construct) that integrates myogenic and vascular microenvironments within a single construct. The dual‐modulus matrix directs aligned myotube formation and endothelial network development, enabling a vascularized muscle implant that seamlessly anastomoses with host tissue and ...
Su Hyun Jung, Minjun Kim, Da‐Yoon Kim, Min Kyu Kim, Sieun Lee, Yoonhee Jin, Joo H. Kang   +6 more
wiley   +1 more source

Robotized Incremental Sheet Forming Trajectory Control Using Deep Neural Network for Force/Torque Compensator and Task-Space Error Tracking Controller

In Robotized Incremental Sheet Forming (ISF), achieving precise geometrical accuracy is a challenging task due to trajectory tool center point (TCP) position errors at the forming tool attached to the robot’s end-effector.
TO, Xuan Dung, OUAIDAT, GHINWA, RAKOTONDRABE, Micky, ZIMMER-CHEVRET, Sandra, RAHARIJAONA, Thibaut, NOUREDDINE, Farid   +5 more
core  

Alzheimer's disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization. [PDF]

PeerJ Comput Sci
S SV, P J.
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Retraction: Fast fault diagnosis of smart grid equipment based on deep neural network model based on knowledge graph. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Bubble Formation Control: Fabrication of Centimeter‐Sized Tissue‐Like Constructs by Catalase‐Coated Oxygen‐Releasing Hydrogel

Advanced Materials, EarlyView.
Oxygen‐releasing hydrogels are widely used to support cell survival in 3D cultures and to promote wound healing. However, incorporating catalase to convert H2O2 into O2 often generates additional oxygen bubbles, leading to material instability which rarely addressed.
Sukulya Bunuasunthon, Isabel F. Amaral, Ana P. Pêgo, Michiya Matsusaki   +3 more
wiley   +1 more source

VerteRo: A Fully Automated Deep Neural Network Tool for Estimating Axial Vertebral Body Rotation in Adolescent Idiopathic Scoliosis. [PDF]

Global Spine J
Kotheeranurak V, Sunpaweravong S, Pongyanpat K, Thanasuttiwat J, Jaroenwareekul S, Panya-Amornwat T, Singhatanadgige W, Limthongkul W, Honsawek S, Lipikorn R.   +9 more
europepmc   +1 more source

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

Advanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar, Carlos Alejandro Jimenez‐Rodriguez, Railia Biktimirova, Ilka Hermes, Thomas Kurth, My Duyen Pham, Mikhail Tsurkan, Jens Friedrichs, Francis L. C. Morgan, Hans Kleemann, Olga Guskova, Uwe Freudenberg, Peter Fratzl, Carsten Werner, Christoph Tondera, Ivan R. Minev   +15 more
wiley   +1 more source

Hybrid deep neural network with PCA based features optimization for enhancing brain tumor classification. [PDF]

Sci Rep
Pandey BK, Pandey D, Lee TF, Lelisho ME.
europepmc   +1 more source