Results 161 to 170 of about 1,583 (217)

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

London Dispersion versus Intramolecular Hydrogen Bond in Bis-Pyridines: How Accurate Is DFT for Competing Noncovalent Interactions in the Condensed Phase? [PDF]

Chemistry
Savoy A, Gorbachev V, Stindt CN, Chen P.
europepmc   +1 more source

Large‐Scale Growth of Self‐Poled Ferroelectric Rashba Semiconductor α‐GeTe(111) Thin Films: A Crucial Step Towards Future CMOS‐Compatible Ferroelectric Spintronic Devices

Advanced Science, EarlyView.
Ferroelectric Rashba semiconductors promise ultralow‐power devices but lack industry‐quality films. This work demonstrates CMOS‐compatible fabrication of high‐quality α‐GeTe(111) films via magnetron sputtering, enabled by a 5 nm Sb2Te3 seed layer. Structural and ferroelectric analyses show robust, switchable polarization comparable to MBE films, paving
Jules Lagrave, Nicolas Bernier, Thomas Jalabert, Yoann Brûlé, Damien Térébénec, Pierre Meilleur, Hervé Roussel, Jean‐Baptiste Dory, Oussama J. Mouawad, Thibault Chommaux, Cristian Mocuta, Dominique Thiaudière, Laurent Vila, Françoise Hippert, Pierre Noé   +14 more
wiley   +1 more source

Global understanding via local extraction for data clustering and visualization. [PDF]

Patterns (N Y)
Zhang Z, Li B.
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

A Millimeter‐Scale Implantable Magneto–Mechano–Electric Transducer Based on BTO Piezoelectric Ceramics for Remote Wireless Electrical Stimulation of Injured Sciatic Nerves

Advanced Science, EarlyView.
We report a fully wireless, circuit‐free neural stimulator built on a millimetric magneto‐mechano‐electric (MME) cantilever transducer (3 × 10 × 5 mm) with a barium titanate (BTO) piezoelectric ceramic core. Under low‐frequency alternating magnetic fields, the MME cantilever mechanically oscillates, inducing stress on the BTO element and thereby ...
Yijing Wang, Jingyu Tian, Zhe Xu, Cuiling Zhang, Jingen Wu, Ming Liu, Zhilu Ye, Xiaohui Zhang   +7 more
wiley   +1 more source

A New Approach to Large Multiomics Data Integration. [PDF]

Anal Chem
Dexter A, Thomas SA, Steven RT, Robinson KN, Taylor AJ, Elia EA, Nikula C, Campbell AD, Panina Y, Najumudeen AK, Yan B, Grabowski P, Hamm G, Swales J, Tripp A, Poulogiannis G, Yuneva MO, Barry S, Goodwin RJA, Sansom OJ, Takats Z, Bunch J.   +21 more
europepmc   +1 more source

Hydrogel Stack‐Tailored Logics and High‐Fidelity Multimodal Sensors Promoted by Precisely Evaluated Ionic Migration

Advanced Science, EarlyView.
Inspired by biological ion transport, this work introduces self‐powered multifunctional sensors utilizing tailored hydrogel stacks. Optimizing ionic migration with MXenes and carbon nanotubes achieves high‐performance energy harvesting and unique logic circuit functionality.
Haoran Chen, Hongjian Zhang, Zhonghui Shen, Taeuk Eom, Hyunseung Kim, Delong He, Jinbo Bai, Geon‐Tae Hwang, Yong Zhang, Chang Kyu Jeong   +9 more
wiley   +1 more source

Detecting comorbidity patterns in rare disease patients with machine learning. [PDF]

Front Epidemiol
Connor BM, Hill C, Bai L, McKnight AJ, Jurek-Loughrey A.   +4 more
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source