Results 151 to 160 of about 1,378,752 (293)
Optimal Binary Split Trees Revisited
Binary split trees were designed for static data sets and algorithms to construct optimal binary split trees have received some attention in the literature.
David A. Spuler, D. A. Spuler
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Binary Tree, dalam ilmu komputer, sebuah pohon biner adalah struktur data pohon di mana setiap node memiliki paling banyak dua anak, yang disebut sebagai anak kiri dan anak kanan. Definisi rekursif hanya menggunakan teori himpunan gagasan adalah bahwa (non-kosong) pohon biner adalah tiga (L, S, R), di mana L dan R adalah pohon biner atau himpunan ...
openaire +2 more sources
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Phylo2Vec: A Vector Representation for Binary Trees. [PDF]
Penn MJ +5 more
europepmc +1 more source
Untangling binary trees via rotations
In this paper we present a polynomial time algorithm for finding the shortest sequence of rotations that converts one binary tree into another when both binary trees are of a restricted form.
Joan M. Lucas
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The behaviors of semiflexible polymers such as DNA and protein are often reshaped by coupled interactions. Monte Carlo simulations assist in studying these systems. This work recasts the traditional chain‐growth strategy into a new framework: a fixed number of chains grow synchronously, while less relevant chains to the target system are removed and ...
Yihan Zhao, Jizeng Wang
wiley +1 more source
Enumeration of Binary Trees and Universal Types*
Binary unlabeled ordered trees (further called binary trees) were studied at leastsince Euler, who enumerated them. The number of such trees with n nodes is nowknown as the Catalan number. Over the years various interesting questions about the statistics
core

