Results 141 to 150 of about 159,413 (329)

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev   +2 more
wiley   +1 more source

Translational buffering by ribosome stalling in upstream open reading frames

open access: yes, 2023
Thesis (Ph.D.)--University of Washington, 2023Upstream open reading frames (uORFs) are present in over half of all human mRNAs. uORFs can potently regulate the translation of downstream open reading frames through several mechanisms: siphoning away ...
Bottorff, Ty
core  

Microenvironmental Reprogramming by 3D Anisotropic Cardiac Extracellular Matrix Induces Nuclear Remodeling and Epigenetic Maturation of Chemically Induced Cardiomyocytes

open access: yesAdvanced Functional Materials, EarlyView.
A 3D anisotropic hydrogel derived from heart extracellular matrix guides cytoskeletal alignment and nuclear remodeling in reprogrammed cardiomyocyte‐like cells. This study reveals how matrix alignment modulates nuclear envelope dynamics and chromatin state, triggering transcriptional and functional maturation.
Seung Ju Seo   +7 more
wiley   +1 more source

Multiplex Modular Nanorobotic Systems with Catalytic Activity under Magnetic Navigation

open access: yesAdvanced Functional Materials, EarlyView.
We present modular nanorobots composed of a magnetic propulsion module and different extension modules carrying functional activities, assembled via DNA base pairing. The system integrates propulsion, optical tracking, enzymatic catalysis, and cell docking in a programmable manner.
Voichita Mihali   +7 more
wiley   +1 more source

Maximum-Likelihood phylogenetic tree showing relationship distances obtained by comparing CCHFV M- and L-segment open-reading frames.

open access: yes, 2016
Maximum-Likelihood phylogenetic tree showing relationship distances obtained by comparing CCHFV M- and L-segment open-reading frames.
Stuart D. Dowall (534412)   +9 more
core   +1 more source

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

open access: yesAdvanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo   +2 more
wiley   +1 more source

Memristor‐Driven Active‐Matrix Organic Light‐Emitting Diode for Energy Efficient and High‐Resolution Displays

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates that memristors can replace conventional 2T–1C driving circuits with simplified 1T–1 m architectures by exploiting resistance switching. With ultra‐low switching voltages (< ±0.2 V) and multi‐level resistance states, the memristors precisely control the current injected into organic light‐emitting diodes (OLEDs).
Dong Hyun Kim   +6 more
wiley   +1 more source

Self‐Healing and Stretchable Synaptic Transistor

open access: yesAdvanced Functional Materials, EarlyView.
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo   +10 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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