Reset
Showing 20 of 194 academic articles

Recent advances in autonomous synthesis of materials

Yucen Li, Lingling Xia, Yiming Fan, Qinyue Wang et al. • ChemPhysMater (2022)

The synthesis of materials has been an important task throughout human history, and the ability to perform successful and efficient syntheses has been a factor in industrial revolutions and societal development. Recently, the rapid developm...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.chphma.2021.10.002

Modeling the Dynamics of Two Cooperating Robots

Andrzej Burghardt, Wincenty Skwarek • Applied Sciences (2021)

The paper presents a description of the dynamics of two mobile robots cooperating in the transport of a bulky load in the form of a beam. The purpose of modeling such a system was to obtain a mathematical model in an appropriate form. Lagra...

DOAJ Open Access (DOAJ) DOI: 10.3390/app11136019

Interaction with LLM-Based Systems: A Structured Review and Taxonomy of Mechanisms and Autonomy

Dino Nejašmić, Saša Mladenović, Andrina Granić • Applied Sciences (2026)

Large language models (LLMs) are increasingly integrated into interactive systems across domains such as software development, robotics, and education. As these systems evolve from simple chat interfaces to autonomous, tool-using agents, th...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16105001

A Novel Passive Implantable Differential Mechanism to Restore Individuated Finger Flexion during Grasping following Tendon Transfer Surgery: A Pilot Study

Suraj Chakravarthi Raja, Won Suk You, Kian Jalaleddini, Justin C. Casebier et al. • Applied Sciences (2023)

Tendon transfer surgery is often used to restore hand grasp function following high median-ulnar nerve palsy. This surgery typically reroutes and sutures the tendon of the extensor carpi radialis longus (ECRL) muscle to all four flexor digi...

DOAJ Open Access (DOAJ) DOI: 10.3390/app13095804

Recall Performance for Content-Addressable Memory Using Adiabatic Quantum Optimization

Jonathan Schrock, Alex J. McCaskey, Kathleen E. Hamilton, Travis S. Humble et al. • Entropy (2017)

A content-addressable memory (CAM) stores key-value associations such that the key is recalled by providing its associated value. While CAM recall is traditionally performed using recurrent neural network models, we show how to solve this p...

DOAJ Open Access (DOAJ) DOI: 10.3390/e19090500

Interplay Between Vertical and Horizontal Schemes of Computation: From Bayesian Inference to Quantum Logic via Gluing Boolean Algebras

Yukio-Pegio Gunji, Kyoko Nakamura, Kazuto Sasai, Iori Tani et al. • Entropy (2026)

Artificial intelligence is typically formulated as an information-processing system composed of artificial neurons, where computation is understood as recursive operations connecting inputs and outputs. However, real neural systems are mate...

DOAJ Open Access (DOAJ) DOI: 10.3390/e28050498

Multiplexed Quantum Random Number Generation

Ben Haylock, Daniel Peace, Francesco Lenzini, Christian Weedbrook et al. • Quantum (2019)

Fast secure random number generation is essential for high-speed encrypted communication, and is the backbone of information security. Generation of truly random numbers depends on the intrinsic randomness of the process used and is usually...

DOAJ Open Access (DOAJ) DOI: 10.22331/q-2019-05-13-141

Quantum computing of magnetic-skyrmion-like patterns in Heisenberg ferromagnets

Matej Komelj, Vinko Sršan, Kristina Žužek, Sašo Šturm • Physical Review Research (2025)

We diagonalize the quantum two-dimensional spin-1/2 Heisenberg model with Dzyaloshinsky-Moriya interaction (DMI) by applying the variational quantum eigensolver, running on a quantum-computer simulator, which turns out to be a more efficien...

DOAJ Open Access (DOAJ) DOI: 10.1103/lq2d-s6zm

Decoherence-free many-body Hamiltonians in nonlinear waveguide quantum electrodynamics

Aviv Karnieli, Offek Tziperman, Charles Roques-Carmes, Shanhui Fan • Physical Review Research (2025)

Enhancing interactions in many-body quantum systems, while protecting them from environmental decoherence, is at the heart of many quantum technologies. Waveguide quantum electrodynamics is a promising platform for achieving this, as it hos...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.7.L012014

Using an Inspired Quantum-Classical Sequential Neural Network to Segment Liver Tumor Images Accurately

Sonwane Suchitra Shivaji Rao, K. Gangadhara Rao • Journal of Applied Science and Engineering (2026)

Medical analytics based on multimodal intelligence are essential to contemporary healthcare, especially in the diagnosis and detection of liver cancer. However, low contrast, varied textures, and irregular tumor forms in medical imaging con...

DOAJ Open Access (DOAJ) DOI: 10.6180/jase.202701_36.052