Results 161 to 170 of about 382,151 (263)

Derivation of probability density function of signal-to-interference-plus-noise ratio for the MS-to-MS interference analysis. [PDF]

ScientificWorldJournal, 2013
Son HK, Kim CY.
europepmc   +1 more source

Solvent Co‐Intercalation Enabled Ca Storage in MoS2 for Ca‐Ion Batteries

Advanced Functional Materials, EarlyView.
Regulating electrolyte solvation levels enables otherwise non‐intercalatable Ca2+ ions to reversibly co‐intercalate into molybdenum disulfide (MoS2) as ether‐solvated species. The intercalation reversibility is strongly governed by solvent chain length, as demonstrated using diethylene glycol dimethyl ether (G2) and tetraethylene glycol dimethyl ether (
Yudong Luo, Matthias Golomb, Yupei Han, Pan He, Neubi Xavier, Wanjun Ren, Yi Lu, Matthew Hopper, Henry R. Tinker, Qiong Cai, Yang Xu   +10 more
wiley   +1 more source

Applications of the line-of-response probability density function resolution model in PET list mode reconstruction. [PDF]

Phys Med Biol, 2015
Jian Y, Yao R, Mulnix T, Jin X, Carson RE.   +4 more
europepmc   +1 more source

Exploring an Alternative to mRNA Vaccine Cold Chain Storage: MRNA‐Lipid Nanoparticle Stability When Dried in a Polymer Matrix

Advanced Functional Materials, EarlyView.
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett, Shahad K. Alsaiari, John L. Daristotle, Timothy A. Forster, Alicia Lau, Dhruv Varshney, Rania Afaneh, Andrew R. Hanna, Charles Sloane, David Mankus, Haitao Yu, Jiali Zhai, DongSoo Yun, Lisa H. Tostanoski, Abigail Lytton‐Jean, Dan H. Barouch, Charlotte E. Conn, Robert Langer, Ana Jaklenec, Calum J. Drummond   +19 more
wiley   +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

Nanoparticle Shape Dictates Catalytic Performance in Selective Hydrogenation of Butadiene Over Au‐Pd Core‐Shell Nanoparticles

Advanced Functional Materials, EarlyView.
Controlling the exposed crystal facet of shape‐controlled Au‐Pd core‐shell catalysts though colloidal synthesis enhances their catalytic performance in the industrially relevant selective hydrogenation of butadiene. ABSTRACT Selective hydrogenation of butadiene is a critical step in purification of alkene feedstocks for polymer production and is ...
Marta Perxés Perich, Jan‐Willem Lankman, Petra E. de Jongh, Jessi E. S. van der Hoeven   +3 more
wiley   +1 more source

Assessment of a three-dimensional line-of-response probability density function system matrix for PET. [PDF]

Phys Med Biol, 2012
Yao R, Ramachandra RM, Mahajan N, Rathod V, Gunasekar N, Panse A, Ma T, Jian Y, Yan J, Carson RE.   +9 more
europepmc   +1 more source

Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN

Advanced Functional Materials, EarlyView.
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk, Danis I. Badrtdinov, Kenji Watanabe, Takashi Taniguchi, Cyrus E. Dreyer, Malte Rösner, Maciej Koperski   +6 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

Advanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source