Results 91 to 100 of about 136,791 (265)

Intrinsic Photoactive Star ZnPc–Poly(glutamate) Nanoplatforms for Multimodal Glioblastoma Therapy and Brain‐Targeted Delivery

Advanced Functional Materials, EarlyView.
An intrinsic photoactive star‐shaped zinc phtalocyanine‐poly(L‐glutamic acid) (ZnPc‐PGA) nanoplatform for multimodal glioblastoma (GBM) therapy and brain‐targeted elivery. A ZnPc‐PGA‐based multifunctional theranostic nanocarrier platform enables image‐guided, multimodal GBM therapy. ZnPc‐PGA nanocarriers support the integration of fluorescence imaging,
Amina Benaicha‐Fernández, Teodora Ranđelović, Ana Armiñán, Víctor Sebastián, Manuel Fuentes, Cristián Huck‐Iriart, Esther Masiá, Paula Carrascosa‐Marco, Pablo Juanes‐Velasco, Snežana Đorđević, Clara Bayona, Ignacio Ochoa, Maria Medel, Inmaculada Conejos‐Sánchez, María J. Vicent   +14 more
wiley   +1 more source

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

Advanced 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, Nahyun Kim, Seok Hee Hong, Ho Jin Lee, Jin Suk Oh, Jae Seong Park, Tae Geun Kim   +6 more
wiley   +1 more source

Rationally Designed Bilayer Passivation Strategy for High‐Performance Vacuum‐Processed Perovskite Solar Cells

Advanced Functional Materials, EarlyView.
A bilayer “Anchor‐and‐Seal” passivation strategy using EDAI2 and 4MeO‐PEAI effectively mitigates surface defects in vacuum‐processed perovskite films through synergistic hydrogen bonding and Lewis base coordination. This approach optimizes interfacial energy alignment and suppresses non‐radiative recombination, enabling vacuum‐deposited p‐i‐n ...
Mohammadhossein Kohan, Sang‐Heon Lee, Jaswinder Singh, Sung‐Nam Kwon, Seok‐In Na   +4 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

Formation of Orthogonal Input Value Components in Micro-Processor Current Protection of Distribution Network Lines

Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2009
The paper considers formers of orthogonal components with even number read-out and also investigates their frequency and dynamic properties.
F. A. Romaniuk, O. A. Huryanchyk
doaj  

Resolving the Cu(bdc) Conundrum: Identifying Non‐Porous Packing of Prototypical Coordination‐Network Thin Films Combining Advanced Diffraction Techniques and Computational Modelling

Advanced Functional Materials, EarlyView.
Solution‐processed Cu(bdc) forms prototypical MOF thin films for which a multitude of not fully satisfactory structural models have been suggested. Combining rotating grazing‐incidence diffraction and X‐ray reflectivity on two complementary samples with density‐functional theory, we first discard the previously suggested models and then identify a non ...
Narges Taghizade, Mario Fratschko, Robbin Steentjes, Mercedes Linares‐Moreau, Paolo Falcaro, Christof Wöll, Roland Resel, Egbert Zojer   +7 more
wiley   +1 more source

Principal Orthogonal Latent Components Analysis (POLCA Net)

CoRR
Representation learning is a pivotal area in the field of machine learning, focusing on the development of methods to automatically discover the representations or features needed for a given task from raw data. Unlike traditional feature engineering, which requires manual crafting of features, representation learning aims to learn features that are ...
Jose Antonio Martin H., Freddy Jose Perozo Rondon, Manuel Lopez   +2 more
openaire   +2 more sources

Formation of Orthogonal Components of Input Signals in Microprocessor Protection of Electric Installations

Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2006
The paper considers obtaining of orthogonal components by means of digital adaptive drivers with preliminary analogous filtration and also investigates their frequency and dynamic characteristics.
F. A. Romaniuk, O. A. Gurjanchik
doaj  

Invisible Polymer Walls Enhance Reorientational Optical Nonlinearity in Oligothiophene‐Doped Liquid Crystals

Advanced Functional Materials, EarlyView.
The polymer wall stabilized dye‐doped liquid crystals (PWLCs) enhance the sensitivity of photoinduced molecular reorientation in dye‐doped LC systems. The PWLC with an invisible polymer wall successfully reduces the threshold intensity and functions as an optical limiter under the incidence of low intensity light laser source.
Junki Yokota, Yuya Nakata, Erika Katayama, Miho Aizawa, Kyohei Hisano, Shoichi Kubo, Atsushi Shishido   +6 more
wiley   +1 more source

Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure

Revista Colombiana de Estadística, 2013
Segregation and matching are techniques to estimate variance components in mixed models. A question arising is whether segregation can be applied in situations where matching does not apply.
SANDRA S. FERREIRA, DÁRIO FERREIRA, CÉLIA NUNES, JOÃO T. MEXIA   +3 more
doaj