Results 141 to 150 of about 5,651 (284)

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

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj   +2 more
wiley   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

open access: yesAdvanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh   +3 more
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

Relaxor Ferroelectrics

open access: yesJournal of the Ceramic Society of Japan, 1991
openaire   +2 more sources

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

Twist Engineering of Hybrid 2D van der Waals‐Transition Metal Oxide Membranes

open access: yesAdvanced Physics Research, EarlyView.
The integration of transition metal oxide membranes with 2D van der Waals materials offers exciting opportunities to study new interfacial phenomena. These interactions can create complex moiré patterns that change the materials' properties. Understanding these interactions, influenced by symmetry and distortion, poses significant challenges and ...
Mar Garcia Hernandez   +4 more
wiley   +1 more source

Halide perovskites in wide‐spectrum photodetection

open access: yesBulletin of the Korean Chemical Society, EarlyView.
Recent advances in perovskite‐based photodetectors (PPDs), phototransistors, and photoconductors are technically discussed in this review. Moreover, the mechanism behind different harvesting processes in perovskite following the energy of photons is explained, where the gamma or x‐rays are ionizing.
Somayeh Gholipour   +5 more
wiley   +1 more source

Defect engineering for highly efficient and stable perovskite top cells for Si tandems

open access: yesBulletin of the Korean Chemical Society, EarlyView.
Defect passivation in wide‐bandgap perovskites is essential for enabling high‐efficiency and stable perovskite/Si tandem solar cells. Bulk, surface, and buried‐interface passivation strategies focus on suppressing nonradiative recombination, ion migration, and halide segregation, thereby clarifying critical design principles for next‐generation tandem ...
Ju Yeong Hong   +2 more
wiley   +1 more source

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