Results 81 to 90 of about 119,018,322 (196)

Topics in Extremal Graph Theory: Ramsey Numbers and the Turan Function [PDF]

open access: yes, 2001
Topics in Extremal Graph Theory: Ramsey Numbers and the Turan Function by Damon J ...
Gulczynski, Damon J. (Damon John)
core  

Motivating Generalized Extremal Problems

open access: yes, 2023
In this talk, we discuss the history of extremal graph theory, in particular motivating several generalizations of classical extremal questions which have become popular in recent years.
Halfpap, Anna
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker   +2 more
wiley   +1 more source

Various Problems in Extremal Combinatorics [PDF]

open access: yes, 2012
Extremal combinatorics is a central theme of discrete mathematics. It deals with the problems of finding the maximum or minimum possible cardinality of a collection of finite objects satisfying certain restrictions.
Huang, Hao
core  

PRISM, a Bidirectional NMR Foundation Model: From Peak List to Structure and Back

open access: yesAngewandte Chemie, EarlyView.
Structure elucidation from NMR can consume an expert for hours or even days. PRISM addresses this with a bidirectional transformer trained on 1.19 M real experimental spectra: it translates 1H and 13C peak lists into structures with 60.1% stereo‐aware top‐1 accuracy (72.5% stereo‐unaware), and, working in reverse, predicts spectra back from structures,
Ajnabiul Hoque, Frank Glorius
wiley   +2 more sources

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison   +4 more
wiley   +1 more source

On Combinatorial Problems of Extremal Nature and Games [PDF]

open access: yes, 2014
Extremal graph theory is a branch of discrete mathematics and alsothe central theme of extremal combinatorics. It studies graphs which areextremal with respect to some parameter under certain restrictions.A typical result in extremal graph theory is ...
Naves, Humberto Silva
core  

On several extremal problems in graph theory involving gromov hyperbolicity constant

open access: yes, 2017
In this Thesis we study the extremal problems of maximazing and minimazing the hyperbolicity constant on several families of graphs. In order to properly raise our research problem, we need to introduce some important definitions and make some remarks on the graphs we study.
openaire   +3 more sources

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

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