Results 91 to 100 of about 11,184 (259)
Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation
Advanced Materials, EarlyView.A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels +4 more
wiley +1 more source
Phase Diagrams Enable Solid‐State Battery Design
Advanced Materials Interfaces, EarlyView.Batteries are non‐equilibrium devices with inherent thermodynamic driving forces to react at interfaces, regardless of kinetics or operating conditions. Chemical potential mismatches across interfaces are dissipated via interfacial reactions. In this work, it is illustrated how phase diagrams and chemical potential maps predict degradation pathways but
Nathaniel L. Skeele, Matthias T. Agne
wiley +1 more source
Atomic Layer Deposition of Metallic Molybdenum Dioxide Thin Films Enabling High‐k Rutile Capacitors
Advanced Materials Interfaces, EarlyView.The first direct atomic layer deposition (ALD) process of molybdenum dioxide (MoO2) thin films is reported using molybdenum(II) acetate dimer (Mo2(OAc)4) and oxygen (O2) as precursors at 235°C–275°C. The films are crystalline, exceptionally pure, and conductive.
Alexey Ganzhinov +8 more
wiley +1 more source
Government and OppositionThis article surveys the recent literature on the politics of memory. It sets out the nature of research in this area over the last 25 years and distils its main trends and areas of focus. Investigating monographs and edited volumes published since the year 2000, it gives an overview of a rich and evolving area of study.
openaire +3 more sources
Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications
Advanced Materials Technologies, EarlyView.A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley +1 more source
Additively Manufactured Porous Ceramics as Tunable Dielectrics for Passive Temperature Sensing
Advanced Materials Technologies, EarlyView.Porous ceramic lattices, 3D‐printed from a multicomponent oxide ink, are integrated with LC resonators for passive wireless temperature sensing. By tuning porosity, the dielectric properties and RF response are engineered to produce distinct resonant frequency shifts with temperature. The results establish a structure‐driven approach to customizing the
Sogol Heidarishahrivar +5 more
wiley +1 more source
The Post-Dictatorship Memory Politics in Portugal Which Erased Political Violence from the Collective Memory. [PDF]
Integr Psychol Behav Sci, 2019 da Silva R, Ferreira AS.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays
Advanced Materials Technologies, EarlyView.Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley +1 more source
Advanced Materials Technologies, EarlyView.This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source