Results 221 to 230 of about 1,474 (246)

Numerical bifurcation analysis of turing and symmetry broken patterns of a PDE model for vegetation dynamics. [PDF]

J Math Biol
Spiliotis K, Russo L, Siettos C, Giannino F.   +3 more
europepmc   +1 more source

Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications

Advanced Science, Volume 13, Issue 31, 4 June 2026.
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo, Hyun‐Jae Lee, Sungwoo Kang, Jung‐Hoon Lee   +3 more
wiley   +1 more source

Advancing Machine Learning Optimization of Chiral Photonic Metasurface: Comparative Study of Neural Network and Genetic Algorithm Approaches

Advanced Physics Research, Volume 5, Issue 6, June 2026.
Two methods for the optimization of chiral reflection by a metamaterial made of either GaP/Air or PMMA/Air interfaces are compared, showing approaches towards fast design exploration and high‐performance results: a neural‐network pipeline and a genetic algorithm. The structures considered are characterized by a periodic, chiral texturation with a shape
Davide Filippozzi, Alexandre Mayer, Nicolas Roy, Wei Fang, Arash Rahimi‐Iman   +4 more
wiley   +1 more source

Novel parallel inputs shift registers with set/reset terminals in QCA nanotechnology. [PDF]

Heliyon
Gholami M, Movahedi M, Amirzadeh Z.
europepmc   +1 more source

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi‐Fidelity Techniques

Biotechnology and Bioengineering, Volume 123, Issue 6, Page 1465-1480, June 2026.
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal, Uwe Aickelin, Ellen Otte   +2 more
wiley   +1 more source

The effect of trait choice on hybrid species distribution model projections under climate change

Ecography, Volume 2026, Issue 6, June 2026.
Species distribution models (SDMs) have been increasingly combined with thermal performance data to enhance their transferability and to provide a physiological explanation for the predicted geographic patterns. Yet, while it is widely acknowledged that thermal sensitivities may vary among biological traits, it remains largely unexplored to what extent
Soria Delva, Jorge Assis, Kenny A. Bogaert, Aisling J. Daly, Wissam Barhdadi, Jan M. Baetens, Bernard De Baets, Olivier De Clerck   +7 more
wiley   +1 more source

Advanced Design for High-Performance and AI Chips. [PDF]

Nanomicro Lett
Cao Y, Chen Y, Fan X, Fu H, Xu B.
europepmc   +1 more source

Fungal Frontiers in (Bio)sensing. [PDF]

Biosensors (Basel)
Grasso G.
europepmc   +1 more source

Quantum-dot cellular automata circuits with reduced external fixed inputs

Microprocessors and Microsystems, 2017
Nanotechnologies, notably quantum-dot cellular automata, have achieved world-wide attentions for their prominent features as compared to the conventional CMOS circuitry.
Milad Bagherian Khosroshahy, Mohammad Hossein Moaiyeri, Shaahin Angizi   +2 more
exaly   +2 more sources

A new quantum-dot cellular automata full-adder

Microelectronics Journal, 2010
A novel expandable five-input majority gate for quantum-dot cellular automata and a new full-adder cell are presented. Quantum-dot cellular automata (QCA) is an emerging technology and a possible alternative for semiconductor transistor based ...
Keivan Navi, Samira Sayedsalehi, Mostafa Rahimi Azghadi   +2 more
exaly   +2 more sources