Results 171 to 180 of about 637,276 (316)

A Data‐Centric Approach to Quantifying the Forward and Inverse Relationship Between Laser Powder Bed Fusion Process Parameters and as‐Built Surface Roughness of IN718 Parts

Advanced Intelligent Systems, EarlyView.
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley   +1 more source

Sometimes Hot, Sometimes Not: The Relations Between Selected Situational Vocational Interests and Situation Perception

European Journal of Personality, EarlyView., 2020
Abstract Vocational interests are traditionally conceived as stable preferences for different activities. However, recent theorizing suggests their intraindividual variability. This preregistered experience sampling study examined intraindividual variation in selected vocational interests states and related situation and person factors (N = 237 ...
Lena Roemer, Kai T. Horstmann, Matthias Ziegler, Jan‐Erik Lönnqvist   +3 more
wiley   +1 more source

Addressing general measurements in quantum Monte Carlo

Nature Communications
Quantum Monte Carlo is one of the most promising approaches for dealing with large-scale quantum many-body systems. It has played an extremely important role in understanding strongly correlated physics. However, two fundamental problems, namely the sign
Zhiyan Wang, Zenan Liu, Bin-Bin Mao, Zhe Wang, Zheng Yan   +4 more
doaj   +1 more source

Conductivity of quantum spin chains: A quantum Monte Carlo approach [PDF]

, 2002
J. V. Alvarez, Claudius Gros
openalex   +1 more source

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

Advanced Intelligent Systems, EarlyView.
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang, Johyeon Kim, Sueyeon Kim, Hyunbo Cho, Jongwook Jeon   +4 more
wiley   +1 more source

Light‐Driven Competitive Selection in a Protein‐Catalyzed Dissipative Peptide Replication

Angewandte Chemie, EarlyView.
A structurally flexible protein catalyzes replication within a dissipative reaction network driven by UVA‐induced disulfide rearrangements. The protein accelerates templated autocatalytic cycles with replication emerging as the dominant pathway.
Éva Bartus, Edit Wéber, Attila Tököli, Ferenc Bogár, Momen R. F. Mohamed, Gábor Kecskeméti, Zoltán Szabó, Zoltán Kele, András Perczel, Márton Gadanecz, Zoltán Orgován, György M. Keserű, Tamás A. Martinek   +12 more
wiley   +2 more sources

Monte Carlo Simulations of Ferromagnetism inp−Cd1−xMnxTeQuantum Wells [PDF]

, 2005
D. Kechrakos, N. Papanikolaou, K. N. Trohidou, T. Dietl   +3 more
openalex   +1 more source

Ternary Content‐Addressable Memory Using One Capacitor and One Nanoelectromechanical Memory Switch for Data‐Intensive Applications

Advanced Intelligent Systems, EarlyView.
A charge‐domain ternary content‐addressable memory using one capacitor one nanoelectromechanical memory switch (1C‐1N TCAM) is proposed for energy‐efficient, high‐reliability computations. Integrated with the back‐end‐of‐line process, the 1C‐1N TCAM leverages the air gap capacitance to achieve a high capacitance ratio and ternary functionality.
Jin Wook Lee, Changha Kim, Geun Tae Park, Seung Hun Baek, Myeong Su Shin, Woo Young Choi   +5 more
wiley   +1 more source

Optimal Summation and Integration by Deterministic, Randomized, and Quantum Algorithms [PDF]

, 2001
We survey old and new results about optimal algorithms for summation of finite sequences and for integration of functions from Hoelder or Sobolev spaces. First we discuss optimal deterministic and randomized algorithms.
Heinrich, S., Novak, E.
core   +1 more source

Multiscale Kinetic Monte Carlo Simulation of Self-Organized Growth of GaN/AlN Quantum Dots [PDF]

, 2022
J. A. Budagosky, A. García‐Cristóbal
openalex   +1 more source