Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
The multilayer fiber‐based PGC sensor, fabricated via graphene‐mediated electroless copper deposition, demonstrates high sensitivity, mechanical durability, and fast response speed. Additionally, it features low‐temperature thermal assisted recovery and thermal resistance, providing a promising platform for wearable electronic devices and IoT ...
ByungJun Kim +5 more
wiley +1 more source
Energy, power, and infrastructure demands from electrifying airport ground support equipment at United States airports. [PDF]
He Y +5 more
europepmc +1 more source
A Dual‐Programmable 2M NOR Flash Architecture for Energy‐Efficient In‐Memory Computing
In conventional NOR Flash, the access transistor occupies area but stores no information. Here, it is repurposed as a programmable second memory device that plays two functional roles: an analog memory element that lowers the minimum read current from 72.7 nA to 4.22 pA, and a current‐path gating element enabling true‐off pruning and current‐range ...
Suhan Kim +4 more
wiley +1 more source
Electromagnetic interference safety margins of cardiac implantable electronic devices from electric vehicle charging stations. [PDF]
Vivarelli C +6 more
europepmc +1 more source
Coordinated Electronic‐Transport Regulation and Multiscale Phonon Scattering in Sb–La Co‐Doped GeTe
Synergistic Sb–La co‐doping simultaneously regulates hole concentration and creates strain‐field fluctuations and multiscale structural disorder in GeTe. Electrical transport is preserved, while electronic and lattice thermal conductivities are strongly suppressed.
Ting Lu +3 more
wiley +1 more source
EV charging station selection and routing flask application with ACO and NSGA-II including photovoltaic energy constraints. [PDF]
Belaid M +6 more
europepmc +1 more source
Existing machine learning potentials remain limited in their ability to generalize across the broad chemical and structural variability of C–S–H. Here, a representative DFT‐labeled dataset is constructed through large‐scale model generation, redundancy‐controlled screening, first‐principles optimization, and targeted sampling of non‐equilibrium ...
Yunjian Li +4 more
wiley +1 more source
Opportunities and challenges for decarbonised, adaptable and resilient transport systems in the United Kingdom. [PDF]
Sasidharan M +19 more
europepmc +1 more source

