Results 181 to 190 of about 798,577 (242)

Self‐Healing and Stretchable Synaptic Transistor

Advanced 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, Sangyong Park, Yoonyi Jeong, Jaepyo Jang, Duhwan Seong, In Soo Kim, Myung‐Gil Kim, Mikyung Shin, Minah Suh, Donghee Son, Jin‐Hong Park   +10 more
wiley   +1 more source

Visualisation of gene expression within the context of tissues using an X-ray computed tomography-based multimodal approach. [PDF]

Sci Rep
Kairišs K, Sokolova N, Zilova L, Schlagheck C, Reinhardt R, Baumbach T, Faragó T, van de Kamp T, Wittbrodt J, Weinhardt V.   +9 more
europepmc   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Prediction Models of Mechanical Properties of Jute/PLA Composite Based on X-ray Computed Tomography. [PDF]

Polymers (Basel)
Zhao X, Li J, Su S, Jiang N.
europepmc   +1 more source

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

Advanced 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, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Photon-counting X-ray Computed Tomography Using a Cadmium Telluride Flat Panel Detector with High Spatial Resolutions and Dual-energy Selection. [PDF]

J Med Phys
Sato J, Sato E, Ito K, Moriyama H, Hagiwara O, Enomoto T, Watanabe M, Yoshida S, Yoshioka K, Nitta H.   +9 more
europepmc   +1 more source

Non-destructive visualization of internal structural changes in humidified magnesium oxide tablets using X-ray computed tomography. [PDF]

Sci Rep
Amemiya T, Suzuki K, Tomita T.
europepmc   +1 more source

Effect of grayscale threshold on X-ray computed tomography reconstruction of gas diffusion layers in polymer electrolyte membrane fuel cells. [PDF]

Heliyon
Li H, Qiao T, Ding X.
europepmc   +1 more source

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X‐ray‐transmission computed tomography

Medical Physics, 1977
The immediate goal of clinically based x‐ray‐transmission computed tomography (CT) is to provide a measurement of the x‐ray linear attenuation coefficient in cross section with the ultimate goal of impacting on patient managerment and care. To do this with the accuracy needed for clinical goals requires the careful integration of x‐ray physics ...
E C, McCullough, J T, Payne
openaire   +2 more sources