Results 161 to 170 of about 113,519 (298)

Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation

Advanced Physics Research, EarlyView.
Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
wiley   +1 more source

Reinforced molecular dynamics: Physics-infused generative machine learning model simulates protein motion. [PDF]

PNAS Nexus
Kolossváry I.
europepmc   +1 more source

Semantic Parsing with Semi-Supervised Sequential Autoencoders [PDF]

, 2016
Tomáš Kočiský, Gábor Melis, Edward Grefenstette, Chris Dyer, Ling Wang, Phil Blunsom, Karl Moritz Hermann   +6 more
openalex   +1 more source

Generative Deep Learning for Advanced Battery Materials

Batteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal, Adrian Cierpka, Britta Nestler, Arnd Koeppe   +3 more
wiley   +1 more source

Fast Fourier transform is a training-free, ultrafast, highly efficient, and fully interpretable approach for epigenomic data compression. [PDF]

Sci Rep
Ward M, Dao B, Datta A, Li Z.
europepmc   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

Rolling Bearing Fault Diagnosis Based on Multi-Source Domain Joint Structure Preservation Transfer with Autoencoder. [PDF]

Sensors (Basel)
Jiang Q, Shi T, Hou X, Miao B, Zhang Z, Jin Y, Wang Z, Zhou H.   +7 more
europepmc   +1 more source

A balanced mineral prospectivity model of Canadian magmatic Ni (± Cu ± Co ± PGE) sulphide mineral systems using conditional variational autoencoders

Lahiru M.A. Nagasingha, Charles L. Bérubé, C J M Lawley   +2 more
openalex   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Haplotype-based autoencoders can reduce the dataset dimension and estimate haplotype block effects in different crop species. [PDF]

BMC Bioinformatics
Heilmann PG, Grosch E, Frisch M, Herrmann M, Beuch S, Kurra V, Mascher M, Avni R, Oldach K, Röhrs I, Hanemann A, Mehta RR, Reinbrecht C, Serfling A, Stahl A, Stucke M, Abbadi A, Kox T, Zenke-Philippi C.   +18 more
europepmc   +1 more source