Results 151 to 160 of about 8,941,456 (288)
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
pH‐Driven Actuation of Unmodified DNA Origami Rectangles
Unmodified DNA origami rectangles exhibit a reversible transition between planar and tubular states driven by near‐neutral pH changes. This behavior arises from crossover‐mediated mechanical coupling of overwound DNA and extends to dimers and nanoribbons, enabling the formation of nanotube architectures without added motifs or chemical modification ...
Diego A. Uehara +4 more
wiley +2 more sources
Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu +6 more
wiley +1 more source
3D Liquid Crystal Framework Enclosing Dual Compartments
A new type of liquid crystal phase is reported, having the conjugated rod‐like molecular cores form a 3D framework of elongated octahedral cages filled alternatively with alkyl and fluoroalkyl pendant chains. The cages are held together by flexible H‐bonding hinges, making them adaptable to thermal expansion and stable in a wide temperature range.
Yang‐yang Zhao +7 more
wiley +2 more sources
A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe +9 more
wiley +1 more source
Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev +9 more
wiley +1 more source
ABSTRACT Background Exposures to human pathogens and toxins in licensed facilities in Canada have been monitored by a federal surveillance system since 2015, yet the affected persons (APs) in these incidents remain uncharacterized. This study comprehensively describes APs, highlighting sector‐specific patterns and trends over time.
Emily F. Tran +4 more
wiley +1 more source
Renormalization techniques for inflation systems and some of their applications. [PDF]
Baake M +4 more
europepmc +1 more source
CL. V. Thom. Roccabellae Latinitate nunc primum donatus ... Operante Jacobo Lebleu, U.I.D. & Prof. Ordin.Nicht identisch mit VD17 39:150690S (vgl. Schlüssels. 4: S.
Roccabella, Tommaso
core
Rapid and high-quality formation of dodecagonal quasicrystals and their approximants using a purely mechanical approach. [PDF]
Jiang Z +6 more
europepmc +1 more source

