Results 171 to 180 of about 112,755 (263)

Aligning entity of knowledge graph based on graph convolutional network with maximum translated similarity. [PDF]

PLoS One
Zhou J, Gao Y, Zhao X, Guo Y, Zhang X.
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A leakage-aware genomic prediction pipeline for meropenem resistance in <i>Klebsiella pneumoniae</i> using transformer-based resistome representation learning. [PDF]

Bioinform Adv
Kervancı İS.
europepmc   +1 more source

Hydrogel‐Based Airway‐on‐Tube With Perfusable Endothelial Lumen and Outward Epithelialization

Advanced Materials, EarlyView.
A hydrogel‐based airway‐on‐tube platform featuring a perfusable endothelial lumen and outward epithelialization is presented. The system supports primary human bronchial epithelial and lung microvascular endothelial coculture under air‐liquid interface conditions.
Ali Doryab, Jack F. Murphy, Michael Bartolf‐Kopp, Jenny C‐C Hsin, Alice Chernaik, Frank McCaughan, Yan Yan Shery Huang, Tomasz Jungst, Jürgen Groll   +8 more
wiley   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

ARGformer: learning on ancestral recombination graphs with transformers. [PDF]

Bioinformatics
Bonet D, Shanks C, Cara MC, Abante J, Ioannidis AG.   +4 more
europepmc   +1 more source

Unveiling Exsolution‐Induced Giant Electronic and Magnetic Property Changes in Non‐Stoichiometric Titanate Perovskite Thin Films

Advanced Materials, EarlyView.
A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim, June Ho Lee, Yaolong Xing, Dongchang Kim, Haeseong Jeong, Mongjun Jeong, Manuel Valvidares, Stuart S. P. Parkin, Sang Ho Oh, Donghwa Lee, Hyojin Yoon, Hyeon Han   +11 more
wiley   +1 more source

A Foundation Model of Cancer Genotype Enables Precise Predictions of Therapeutic Response. [PDF]

Cancer Discov
Kong J, Lee I, Boecher D, Singhal A, Kelly MR, Moon J, Ahn CH, Ock CY, Pratt D, Kumar T, Sears TJ, Laub D, Wright S, Wall P, Carter H, Wang Z, Ideker T.   +16 more
europepmc   +1 more source