Results 51 to 60 of about 654,903 (239)

Effect of Foot Orthoses on Midfoot Pain and the Volume of Bone Marrow Lesions in the Midfoot: A Randomized Mechanism of Action Study

Arthritis Care &Research, EarlyView.
Objective Foot orthoses are thought to improve pain by potentially modifying internal mechanical forces. To test this, we explored whether foot orthoses can modify patterns of bone marrow lesions (BMLs) in people with midfoot pain. Methods Forty‐two people were recruited with midfoot pain, and magnetic resonance imaging–confirmed midfoot BMLs ...
Jill Halstead, Anne‐Maree Keenan, Philip G. Conaghan, Dennis McGonagle, Anthony C. Redmond   +4 more
wiley   +1 more source

Enhanced carbon dioxide drainage observed in digital rock under intermediate wetting conditions

Scientific Reports
Carbon dioxide (CO $$_2$$ 2 ) trapping in capillary networks of reservoir rocks is a pathway to long-term geological storage. At pore scale, CO $$_2$$ 2 drainage displacement depends on injection pressure, temperature, and the rock’s interaction with the
Jaione Tirapu Azpiroz, Ronaldo Giro, Rodrigo Neumann Barros Ferreira, Marcio Nogueira Pereira da Silva, Manuela Fernandes Blanco Rodriguez, Adolfo E. Correa Lopez, David A. Lazo Vasquez, Matheus Esteves Ferreira, Mariana Del Grande, Ademir Ferreira Da Silva, Mathias B. Steiner   +10 more
doaj   +1 more source

Accurate deep neural network inference using computational phase-change memory

Nature Communications, 2020
Designing deep learning inference hardware based on in-memory computing remains a challenge. Here, the authors propose a strategy to train ResNet-type convolutional neural networks which results in reduced accuracy loss when transferring weights to in ...
Vinay Joshi, Manuel Le Gallo, Simon Haefeli, Irem Boybat, S. R. Nandakumar, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou   +9 more
doaj   +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

Biobased Bionic Spider Silk via Electrostatic Complexation for Simultaneously Harvesting Atmospheric Water and Triboelectric Energy

Advanced Functional Materials, EarlyView.
Bio‐based bionic spider silk and spider web are first prepared using polyelectrolyte complexation technique for the simultaneous harvesting of water and triboelectric energy. The advantage of this process lies on entirely bio‐based materials, fully green water‐processable procedures, extremely high production rate (99.36%), excellent fog harvesting ...
Qin Chen, Araz Rajabi‐Abhari, Tongtong Fu, Haonan Zhang, Siqi Huan, Liang Chen, Jinchao Li, Cheng Hao, Yaping Zhang, Ning Yan   +9 more
wiley   +1 more source

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source

TBHubbard: tight-binding and extended Hubbard model dataset for metal-organic frameworks

Scientific Data
Metal-organic frameworks (MOFs) are porous materials composed of metal ions and organic linkers. Due to their chemical diversity, MOFs can support a broad range of applications in chemical separations.
Pamela Costa Carvalho, Federico Zipoli, Alan C. Duriez, Marco Antonio Barroca, Rodrigo Neumann Barros Ferreira, Barbara Jones, Benjamin Wunsch, Mathias Steiner   +7 more
doaj   +1 more source

Transparent UV‐Curable Self‐Sanitizing Coatings Applicable to Diverse Surfaces and High‐Touch Screens to Mitigate Deadly Pathogen Transmission

Advanced Functional Materials, EarlyView.
Development of a transparent, self‐sanitizing antimicrobial coating technology applicable to a wide range of materials and surfaces‐including touchscreens, transparent substrates, and metal, plastic, and glass‐regardless of pathogen type. The spray‐coated, UV‐cross‐linked imidazole‐based quaternary ammonium chloride materials provide broad‐spectrum ...
Surjith Kumaran, Sumin Han, Euna Oh, Chunghee Jo, Hyerin Shin, Dae‐Hong Ko, Hyo‐Jick Choi   +6 more
wiley   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip

Nature Communications
A Lite Bidirectional Encoder Representations from Transformers model is demonstrated on an analog inference chip fabricated at 14nm node with phase change memory.
An Chen, Stefano Ambrogio, Pritish Narayanan, Atsuya Okazaki, Charles Mackin, Andrea Fasoli, Malte J. Rasch, Alexander Friz, Jose Luquin, Takeo Yasuda, Masatoshi Ishii, Takuto Kanamori, Kohji Hosokawa, Timothy Philicelli, Seiji Munetoh, Vijay Narayanan, Hsinyu Tsai, Geoffrey W. Burr   +17 more
doaj   +1 more source