Results 61 to 70 of about 182,296 (219)

Heterointerface Engineering of Bismuth Nanosheets/Nitrogen‐Doped Carbon Nanoleaves Enables High‑Performance Electrochemical Dechlorination

open access: yesAdvanced Science, EarlyView.
Bismuth nanosheets integrated with nitrogen‐doped carbon nanoleaves are constructed via a 2D‐on‐2D heterointerface engineering strategy. The resulting BiNS/NCL electrode delivers high chloride adsorption capacity, fast kinetics, and stable cyclability. A built‐in electric field at the heterointerface promotes chloride electrosorption and stabilizes the
Bohan Liu   +11 more
wiley   +1 more source

Practical Lithium–Sulfur Batteries: An Integrated Design Roadmap from High‐Loading Cathodes to High‐Energy Pouch Cells

open access: yesAdvanced Science, EarlyView.
This review presents an integrated design roadmap for practical lithium–sulfur batteries, moving beyond isolated material breakthroughs to the synergistic combination of three interdependent frontiers: Scale‐Up, Electrolyte‐Cathode Synergy, and AI/ML Data‐Driven Design.
Shihzad Shakil   +6 more
wiley   +1 more source

Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections

open access: yesAdvanced Electronic Materials, EarlyView.
The inverse design of electrically large wave devices often uses reduced‐order multiport models with discrete optimization, requiring many evaluations of complex interconnections between subsystems that differ only in a few blocks. This paper introduces a closed‐form framework enabling efficient Woodbury low‐rank updates of related, previous ...
Hugo Prod'homme, Philipp del Hougne
wiley   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos   +4 more
wiley   +1 more source

Computing invariants of algebraic group actions in arbitrary characteristic

open access: yes, 2007
Let G be an affine algebraic group acting on an affine variety X. We present an algorithm for computing generators of the invariant ring K[X]^G in the case where G is reductive.
Derksen, Harm, Kemper, Gregor
core   +3 more sources

Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays

open access: yesAdvanced Electronic Materials, EarlyView.
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter   +7 more
wiley   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Topological Materials and Related Applications

open access: yesAdvanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti   +9 more
wiley   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez   +10 more
wiley   +1 more source

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