Results 141 to 150 of about 131,454 (265)

Laterally gated ferroelectric field effect transistor (LG-FeFET) using α-In₂Se₃ for stacked in-memory computing array. [PDF]

Nat Commun, 2023
Park S, Lee D, Kang J, Choi H, Park JH.
europepmc   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

All-Optical Control of Bidirectional Polarization Switching in Ferroelectric Heterostructures for Neuromorphic and In-Memory Computing. [PDF]

Adv Sci (Weinh)
Niu J, Lyu J, Li J, Samantaray KS, Jang C, Lee Y, Park JS, Lee S.   +7 more
europepmc   +1 more source

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. [PDF]

Nat Commun, 2023
Rasch MJ, Mackin C, Le Gallo M, Chen A, Fasoli A, Odermatt F, Li N, Nandakumar SR, Narayanan P, Tsai H, Burr GW, Sebastian A, Narayanan V.   +12 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Advances of Emerging Memristors for In-Memory Computing Applications. [PDF]

Research (Wash D C)
Chen Q, Lu L, Meng J, Xu M, Wang T.
europepmc   +1 more source

Achieving software-equivalent accuracy for hyperdimensional computing with ferroelectric-based in-memory computing. [PDF]

Sci Rep, 2022
Kazemi A, Müller F, Sharifi MM, Errahmouni H, Gerlach G, Kämpfe T, Imani M, Hu XS, Niemier M.   +8 more
europepmc   +1 more source

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

Advanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco, Valerio Francesco Annese, Valerio Galli, Ilaria Penna, Debora Russo, Marina Veronesi, Rita Scarpelli, Stefania Sabella, Mario Caironi   +8 more
wiley   +1 more source

Nonvolatile Reconfigurable Synthetic Antiferromagnetic Devices Induced by Spin-Orbit Torque for Multifunctional In-Memory Computing. [PDF]

Nanomaterials (Basel)
Song M, Liu J, Zhu Z.
europepmc   +1 more source

Device quantization policy in variation-aware in-memory computing design. [PDF]

Sci Rep, 2022
Chang CC, Li ST, Pan TL, Tsai CM, Wang IT, Chang TS, Hou TH.   +6 more
europepmc   +1 more source