Results 151 to 160 of about 723,003 (246)

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Observation of Restored Adiabatic State Transfer in Time-Modulated Non-Hermitian Systems. [PDF]

Nat Commun
Wang X, Arkhipov II, Lin Q, Gao H, Qu D, Xiao L, Nori F, Xue P.   +7 more
europepmc   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Electron Affinity of Actinide (IV) Carboxylate Complexes From MN12-L Density-Functional Calculations and Explainable Machine Learning. [PDF]

J Comput Chem
Khairbek AA, Badawi MAA, Puchta R, Saleh DI, Mahmoud SF, Thomas R.   +5 more
europepmc   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

Hybrid Benzimidazole-Imidazole Carbodicarbene Ligands Control Deep-Red Emission from Photostable Borenium Ions. [PDF]

J Am Chem Soc
Deng CL, Zhang C, Tra BYE, Park K, Gilliard RJ.   +4 more
europepmc   +1 more source

Atomic Scale Control of Thermal Conductivity in LaMnO3/SrMnO3 Superlattices

Advanced Electronic Materials, EarlyView.
Interface‐dominated cross‐plane thermal transport in [(LaMnO3)m/(SrMnO3)n]10 superlattices can be controlled by the octahedral rotation/tilt angle φOOR of the MnO6 octahedra, which as well is controlled by the “m/n” ratio. ABSTRACT We report atomic scale structure and phonon thermal transport in (LaMnO3)m/(SrMnO3)n/SrTiO3(100) superlattices (LMO/SMO ...
H. Ulrichs, V. Roddatis, U. Roß, J. P. Bange, D. Meyer, S. Lopatin, V. Radisch, D. Metternich, I. V. Maznichenko, S. Ostanin, R. Egoavil, I. Lazić, V. Moshnyaga   +12 more
wiley   +1 more source

Maintenance of polymorphism in spatially heterogeneous environments. [PDF]

Genetics
Sakamoto T, Yeaman S.
europepmc   +1 more source

Core and π‐Bridge Engineering to Deconstruct Y6‐Series into Modular Non‐Fused Acceptors: DFT‐Guided Structure‐Property Map for Organic Solar Cells

Advanced Electronic Materials, EarlyView.
The rigid fused backbone of Y6‐series acceptors is deconstructed into a modular, non‐fused A‐π‐A′‐π‐A architecture. Comprehensive quantum chemical simulations reveal that strategic core and π‐bridge engineering preserves strong near‐infrared light‐harvesting and enhances intramolecular charge‐transfer character.
Qurat ul Ain, Waqas Akram, Hasan Yaqoob, Munazza Shahid, Abdul Majid, Muhammad Altaf, Christian B. Nielsen, Raja Shahid Ashraf   +7 more
wiley   +1 more source

Degradation of the Intermediate Band Caused by Disorder in Quantum-Dot Intermediate-Band Solar Cells. [PDF]

Micromachines (Basel)
Cuadra L, Pérez-Aracil J, Salcedo-Sanz S.   +2 more
europepmc   +1 more source