Results 141 to 150 of about 131,549 (259)

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

RETRACTED: Jiang et al. Measuring Liquid Droplet Size in Two-Phase Nozzle Flow Employing Numerical and Experimental Analyses. <i>Micromachines</i> 2022, <i>13</i>, 684. [PDF]

Micromachines (Basel)
Jiang L, Rao W, Deng L, Incecik A, Królczyk G, Li Z.   +5 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Marine exometabolites correlate with benthic fungal diversity and community structure in the South China Sea. [PDF]

Microbiol Spectr
Liu X, Ma S-D, Li J-M, Liu H, Zhong Z-X, Zhang G-R, Hu W-H, Li H-J, Lan W-J.   +8 more
europepmc   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Marine Algae Hydrogels as Emerging Biomaterials for Medicine. [PDF]

Gels
Pereira L, Valado A.
europepmc   +1 more source

One‐Shot Multimaterial 3D Printing of a Flexible Spine for a Robotic Fish Prototype

Advanced Intelligent Systems, EarlyView.
A one‐shot multimaterial 3D printing approach enables a monolithic soft robotic fish integrating a compliant spine and rigid vertebrae. Electromagnetic linear actuators drive tendon‐based transmission, producing controlled tail oscillations. Finite element modeling and experiments show strong agreement, while optimized material selection improves ...
Marco Colletta, Alessio Pricci, Luca Di Leo, Gianluca Percoco   +3 more
wiley   +1 more source

Uncovering Aggregation‐Induced Emission in Carbon Dots for Color‐Changing Hydrogels and Information Encryption

Angewandte Chemie, EarlyView.
Red‐emissive carbon dots (R‐CDs) exhibiting aggregation‐induced emission (AIE) and aggregation‐caused quenching (ACQ) effects are synthesized from citric acid and urea. They display weak blue fluorescence in water but strong red emission in DMF due to aggregation.
Jiafeng Wan, Shiyi Chen, Haopu Su, Tim Muschik, Tongtong Cui, Yosuke Akae, Dominik Voll, Christian W. Schmitt, Stefan Bräse, Tao Chen, Andreas‐Neil Unterreiner, Patrick Théato   +11 more
wiley   +2 more sources

Butenolide Exerts Antifouling Effects on the Bryozoan <i>Bugula neritina</i> through Activating NO/cGMP Signaling Pathway. [PDF]

Integr Org Biol
Liu HL, Qiu JW, Wong YH, Yang MJ, Xie JQ, Xiao RD, Huang XL, Xu Y, Hu ZL, Zhang Y.   +9 more
europepmc   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

Advanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti, Weng Buxiu, Petr Trunin, Muhammad Sunny Nazeer, Lucia Beccai, Perla Maiolino, Cecilia Laschi   +6 more
wiley   +1 more source