Results 201 to 210 of about 39,774 (284)

Aharonov-Bohm interference in even-denominator fractional quantum Hall states. [PDF]

Nature
Kim J, Dev H, Shaer A, Kumar R, Ilin A, Haug A, Iskoz S, Watanabe K, Taniguchi T, Mross DF, Stern A, Ronen Y.   +11 more
europepmc   +1 more source

Quantum Tunnelling to the Origin and Evolution of Life. [PDF]

Curr Org Chem, 2013
Trixler F.
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Imaging the sub-moiré potential using an atomic single electron transistor. [PDF]

Nature
Klein DR, Zondiner U, Keren A, Birkbeck J, Inbar A, Xiao J, Zamir Y, Sidorova M, Al Ezzi MM, Peng L, Watanabe K, Taniguchi T, Adam S, Ilani S.   +13 more
europepmc   +1 more source

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

Advanced 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, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

DNA as a quantum system in evolution. [PDF]

PLoS One
Garcia NA.
europepmc   +1 more source

Hardware‐Based On‐Chip Learning Using a Ferroelectric AND‐Type Array With Random Synaptic Weights

Advanced Intelligent Systems, EarlyView.
This work demonstrates an energy‐efficient on‐chip learning system using an Metal‐Ferroelectric‐Insulator‐Semiconductor FeAND synaptic array. By employing a feedback alignment scheme with a separate backward array using fixed random weights, the system overcomes directional limitations of AND‐type arrays and achieves robust, low‐power learning suitable
Minsuk Song, Changhyeon Han, Joonhyeok Choi, Jongwoo Lee, Hyun‐min Kim, Wongi Hong, Ujin Kim, Sung‐Tae Lee, Daewoong Kwon   +8 more
wiley   +1 more source

Radiofrequency cascade readout of coupled spin qubits. [PDF]

Nat Electron
Chittock-Wood JF, Leon RCC, Fogarty MA, Murphy T, von Horstig FE, Patomäki SM, Oakes GA, Williams J, Johnson N, Jussot J, Kubicek S, Govoreanu B, Wise DF, Morton JJL, Gonzalez-Zalba MF.   +14 more
europepmc   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

Physical explanations in evolutionary biology. [PDF]

Hist Philos Life Sci
Hermida M, Ladyman J.
europepmc   +1 more source