A Wireless, Passive Multimodal Wearable Sensor With Decoupled Sensing Capabilities
A wireless passive multimodal electronic skin is presented for the simultaneous perception of pressure, humidity, and odor through a frequency‐divided LC resonator array. The decoupled sensing architecture suppresses cross‐interference and enables independent signal readout under superimposed stimuli while maintaining high stability.
Wenjiang Han +8 more
wiley +1 more source
Energy management strategies for solar photovoltaic-based EV parking lots with consideration of battery degradation cost. [PDF]
Khan MO +5 more
europepmc +1 more source
Parametrization Of A Simplified Physical Battery Model [PDF]
Alexander Grimm, Anton Haumer
openaire +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Energy efficient thermal and hydraulic performance analysis of a serpentine liquid cooled lithium ion battery pack for electric vehicles. [PDF]
Dagnaw ES, Aga AG, Sufe G.
europepmc +1 more source
Chloride Ions: Essential Agents for Achieving Spontaneous Delamination of MXene
This work first identifies chloride ions as essential agents for spontaneous MXene delamination. Without Cl−, etched Ti3C2Tx remains multilayered; with Cl−, interlayer modification enables Li+ intercalation and osmotic swelling. The SPEED process couples HF‐assisted Al extraction, Cl−‐mediated interlayer expansion, and Li+‐driven swelling to produce ...
Sukhyeun Jang +11 more
wiley +1 more source
Analytical modeling of pcm-based cooling system for lithium-ion batteries. [PDF]
Farajollahi A +4 more
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
An expectile-based framework for risk-calibrated credible capacity evaluation of virtual power plants under wind and PV forecast uncertainties. [PDF]
Hua D +5 more
europepmc +1 more source
Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon +9 more
wiley +1 more source

