Results 151 to 160 of about 24,728 (260)

Water‐Mediated Phosphoryl Wires Stabilize Pathological Tau Fibrils

Angewandte Chemie, EarlyView.
Extended 1D phosphoryl “wires” stabilize in‐register amyloid tau fibrils, as demonstrated by multiple‐quantum spin‐counting NMR, TEM, and MD simulations, using fibrils of tau peptide jR2R3‐P301L (tau295–313) with phosphorylation at S305 or Y310. ABSTRACT Hyperphosphorylation of tau is a hallmark of tauopathies, with specific phosphorylation sites ...
Lokeswara Rao Potnuru, Austin DuBose, Fiona Mon, Mesopotamia S. Nowotarski, Michael Vigers, Boqin Zhang, Chung‐Ta Han, John E. Straub, Songi Han   +8 more
wiley   +2 more sources

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

On the Ability of Bismuth to Couple Weakly Coordinating Anions

Angewandte Chemie, EarlyView.
Motivated by the growing number of catalytic processes based on high‐valent Bi, we investigated in silico the reductive elimination step responsible for the coupling of weakly coordinating anions. Relativistic contributions appeared to be decisive to the electronic description of the intermediates involved in this process.
Lucas Mele, Reena Balhara, Dimitrios A. Pantazis, Josep Cornella   +3 more
wiley   +2 more sources

Identifying Dynamical Quantum Phase Transitions With a Migratable Quantum‐Classical Hybrid Neural Network

Advanced Intelligent Systems, EarlyView.
A hybrid quantum‐classical architecture is introduced to accurately identify dynamical quantum phase transitions from time‐evolved quantum states. The QCNN serves as a quantum dynamical feature extractor, while the classical network learns temporal correlations from a low‐dimensional readout sequence. The framework attains high accuracy, remains robust
Daili Li, Xin–Xin Yang, Xiaoting Wang, Wei Zhang   +3 more
wiley   +1 more source

Glycine‐Induced Unique Crystal Packing of Octacyanidetungstates With Strong Intermolecular Antiferromagnetic Interaction, Near‐Infrared Emission, and Second Harmonic Generation

Angewandte Chemie, EarlyView.
Glycine molecules induce a unique crystal packing into a supramolecular one‐dimensional columnar structure of octacyanidotungstates, which exhibits exceptionally strong antiferromagnetic superexchange interactions of J = −42.41(2) K between adjacent octacyanidotungstate units.
Tatsuya Konishi, Koji Nakabayashi, Kunal Kumar, Takeshi Suzuki, Kozo Okazaki, Masataka Kobayashi, Hidefumi Akiyama, Kouji Chiba, Shin‐ichi Ohkoshi   +8 more
wiley   +2 more sources

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Ising Solver Using Vertical NAND Flash Memory

Advanced Intelligent Systems, EarlyView.
Commercial V‐NAND flash memory is repurposed as a discrete‐time Ising solver by exploiting in‐memory current summation and read‐voltage‐controlled intrinsic noise. The system implements Hopfield neural‐network updates with simulated‐annealing‐like behavior, solving max‐cut problems with high accuracy and energy efficiency while using mass‐produced ...
Sung‐Ho Park, Yeongheon Yang, Jong‐Won Back, Jiseong Im, Ryun‐Han Koo, Jonghyun Ko, Dongseok Kwon, Jong‐Ho Lee   +7 more
wiley   +1 more source

Effective Mode Approximation for Probabilistic Verification of Collective Hamiltonians in Large Continuous-Variable Quantum Systems. [PDF]

Entropy (Basel)
Rosas-Bustos JR, Van Griensven Thé J, Fraser RA, Said N, Ratto Valderrama S, Pecen M, Truskovsky A, Thanos A.   +7 more
europepmc   +1 more source

A Superintegrable Quantum Field Theory. [PDF]

Commun Math Phys
De Clerck M, Evnin O.
europepmc   +1 more source

Production and transfer of energy and information in Hamiltonian systems. [PDF]

PLoS One, 2014
Antonopoulos CG, Bianco-Martinez E, Baptista MS.   +2 more
europepmc   +1 more source