Results 151 to 160 of about 25,460 (262)

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

The Mathematical Foundation of Post-Quantum Cryptography. [PDF]

Research (Wash D C)
Zong C.
europepmc   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

SRAM based Gaussian noise generation for post quantum cryptography. [PDF]

Sci Rep
Kim MS, Jeon SB, Kim S.
europepmc   +1 more source

Ligthweight + post-quantum cryptographies

, 2021
O objectivo do trabalho proposto passa por analisar a viabilidade de esquemas de assinatura digital “low-algebra” derivados de um dos algoritmos SPHINCS+ ou PICNIC recorrendo cada um a primitivas LWC das famílias ASCON e SKINNY. Para esse efeito comerçar-se-á por implementar cada um desses algoritmos em C seguindo-se uma seleção de quais as variáveis ...
openaire   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

A quantum resilient deepfake detection framework using enhanced resnext and post quantum cryptography defence. [PDF]

Sci Rep
Shreeya KN, Subburaj B, Saketh KSG, Padmavathy TV, Alphonse S, Subramanian G.   +5 more
europepmc   +1 more source

Post Quantum Cryptography Explained

ITNOW
Abstract Professor Bill Buchanan OBE FRSE considers the impact of advancements in quantum computing on cryptography and explores the methods available for safeguarding data.
openaire   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
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, Nicholas Ballard   +1 more
wiley   +1 more source

Secure edge-based IoMT framework for ICU monitoring with TinyML and post-quantum cryptography. [PDF]

Sci Rep
Khan UH, Qamar A, Khan R, Alturise F, Alshaabani AR, Alkhalaf S.   +5 more
europepmc   +1 more source