Results 151 to 160 of about 793 (231)

Single‐Crystal PZT‐Driven Organic Piezo‐Phototronic Adaptive Transistors Toward Advanced Spatiotemporal Visual Computing

open access: yesAdvanced Science, EarlyView.
Here, we propose a single‐crystal PZT‐based piezo‐phototronic organic adaptive memory transistor (OAMT), achieving a record memory window capacity factor (γ) of 0.87 at a low SS of 200 mV/decade via efficient multi‐field control. The device achieves a high recognition accuracy ∼ 90% in neuromorphic simulations, demonstrates robust fault tolerance under
Chenhao Xu   +8 more
wiley   +1 more source

Salt Water Drops Slide Faster: Ionic Modulation of Drop Friction

open access: yesAdvanced Science, EarlyView.
Salt ions markedly accelerate water drops on conductive substrates coated with nanometer‐thin hydrophobic layers. Across diverse electrolytes and surfaces, higher ion concentration consistently lowers kinetic friction by reducing contact angle hysteresis.
Dongho Shin   +6 more
wiley   +1 more source

Interleaved Quadratic Boost DC-DC Converter with Extended Voltage Gain and Reduced Switch Voltage Stress for Photovoltaic Applications. [PDF]

open access: yesOpen Res Eur
Ferreira D   +7 more
europepmc   +1 more source

Kinesin‐Induced Buckling Reveals the Limits of Microtubule Self‐Repair

open access: yesAdvanced Science, EarlyView.
This study shows that kinesin‐driven buckling induces extensive microtubule lattice damage that often exceeds intrinsic self‐repair and leads to filament failure. While curvature, motor motility, and force individually cause limited damage, their combination overwhelms repair.
Shweta Nandakumar   +9 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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