Results 151 to 160 of about 1,208,657 (304)

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

A view of mining activities on the King River, Tasmania, operated by Mount Lyell Mining and Railway Co. Ltd.

, 2016
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/227292A ...
Mount Lyell Mining And Railway Co. Ltd
core  

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Joint UAV trajectory and offloading optimization with robust secrecy for intelligent mining. [PDF]

Sci Rep
Darem AA, Almalki K, Alzahrani A, Alharbi KNR, Alhashmi AA, Darem LA.   +5 more
europepmc   +1 more source

Discovery of Novel Materials with Giant Dielectric Constants via First‐Principles Phonon Calculations and Machine Learning

Advanced Intelligent Discovery, EarlyView.
We discovered novel materials with giant dielectric constants by combining first‐principles phonon calculations and machine learning. Screening 525 perovskites identified six candidates. RbNbO3 was synthesized under pressure and showed ε ≈ 800–1000. This validates our framework as a powerful tool for high‐performance dielectric materials discovery.
Hiroki Moriwake, Kazuki Shitara, Rie Yokoi, Takeharu Kato, Isao Tanaka, Ayako Yamamoto, Kimitoshi Murase, Yosuke Hamasaiki, Yoshitaka Ehara, Mitsuru Itoh   +9 more
wiley   +1 more source

Self-powered sensing platform based on triboelectric nanogenerators towards intelligent mining industry. [PDF]

Nat Commun
Liu L, Shang Y, Berbille A, Willatzen M, Wang Y, Li X, Li L, Luo X, Chen J, Yang B, Du C, Wang ZL, Zhu L.   +12 more
europepmc   +1 more source

CurriM : Curriculum mining

, 2012
Curriculum mining includes three main kinds of tasks: (i) actual curriculum model discovery, i.e. constructing complete and compact academic curriculum models that are able to reproduce the observed behavior of students, (ii) curriculum model conformance
Yudelson, Michael, Zaiane, Osmar R., Hershkovitz, Arnong, Trcka, N., Yacef, Kalina, Pechenizkiy, M., Toledo, Pedro A., De Bra, P.M.E.   +7 more
core  

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Memory-Augmented 3D Point Cloud Semantic Segmentation Network for Intelligent Mining Shovels. [PDF]

Sensors (Basel)
Cui Y, Zhang Z, An Y, Zhong Z, Yang F, Wang J, He K.   +6 more
europepmc   +1 more source