Results 251 to 260 of about 1,801,897 (347)

A Model-Based Approach to Neuronal Electrical Activity and Spatial Organization Through the Neuronal Actin Cytoskeleton. [PDF]

Methods Protoc
Rafati AH, Joca S, Vontell RT, Mallard C, Wegener G, Ardalan M.   +5 more
europepmc   +1 more source

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

Functional imaging of nine distinct neuronal populations under a miniscope in freely behaving animals. [PDF]

Elife
Phillips ML, Urban NT, Salemi T, Dong Z, Yasuda R.   +4 more
europepmc   +1 more source

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +1 more source

Bioactive Extracts from Yucatán Marine Invertebrates as Modulators of Microalgal Dynamics. [PDF]

Mar Biotechnol (NY)
Pech-Puch D, Pires R, Rebelo BA, Grilo D, Gonzáles-Salas C, Calva-Pérez SE, Gomes SM, Villegas-Hernández H, Guillén-Hernández S, Forero AM, Rodriguez J, Jiménez C, Lenis-Rojas OA, Abranches R.   +13 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Mathematical Modeling and Computation of NM-Polynomial Indices for Physicochemical Properties Prediction.

Sci Rep
Tawhari QM, Naeem M, Koam ANA, Ahmad A, Oyelakin O.   +4 more
europepmc   +1 more source

The shifted convolution problem in function fields. [PDF]

Math Ann
Florea A, Lalín M, Malik A, Sahay A.
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

NTRU-MCF: A Chaos-Enhanced Multidimensional Lattice Signature Scheme for Post-Quantum Cryptography. [PDF]

Sensors (Basel)
Wang R, Yuan B, Yuan M, Li Y.
europepmc   +1 more source