Results 51 to 60 of about 442,454 (245)

Artificial Intelligence‐Driven Inverse Design of Singlet Fission Candidates in the Acene family

Advanced Science, EarlyView.
In this work, we describe an AI‐driven inverse design platform predicting S1 and T1 energies across acenes with high accuracy. Using Hammett σ constants as descriptors and RNN models coupled with optimization algorithms, it efficiently explores ≈1014 structures, uncovering novel SF candidates from benzene to pentacene. Freely accessible at https://alba.
Rafael G. Uceda, Boris Pérez‐Cañedo, Sandra Míguez‐Lago, Carlos M. Cruz, Joaquín J. Torres, Omar Núñez, Luis Álvarez de Cienfuegos, Antonio J. Mota, Delia Miguel, Juan M. Cuerva   +9 more
wiley   +1 more source

A Multifunctional Unit for Designing Efficient RNS-Based Datapaths

IEEE Access, 2017
Inter-modulo operations are the most time consuming and costly operations of the residue number system (RNS), and one of the main obstacles to applying RNS in practice to the design of computing devices, namely for signed integer arithmetic.
Amir Sabbagh Molahosseini, Azadeh Alsadat Emrani Zarandi, Paulo Martins, Leonel Sousa   +3 more
doaj   +1 more source

Spatially Encoded Protocell Network for Non‐Cascaded Parallel Biocomputation

Advanced Science, EarlyView.
A non‐cascaded, hydrogel‐based proteinosome computational platform is developed, in which redox‐responsive proteinosomes serve as local computing units within a shared reaction–diffusion field. Reductant inputs, countered by an auxiliary glucose gradient, regulate spatially patterned proteinosome disruption, and generate population‐level boundaries ...
Shuqi Wu, Liangfei Tian
wiley   +1 more source

Sticker Valence Governs Chain Collapse and Liquid‐Liquid Phase Separation in Peptide‐Inspired Associative Polymers

Advanced Science, EarlyView.
Peptide‐inspired associative polymers with arginine‐like guanidinium stickers and lysine‐like ammonium spacers undergo chain collapse and liquid‐liquid phase separation induced by reversible sticker associations. Sticker valence and tunable association strength jointly control the phase behavior, chain conformation, and interfacial cohesion of these ...
Seung‐Hwan Oh, Jinhoon Lee, Seunghyun Lee, Raehyun Jung, Sangyeop Lee, Su‐Mi Hur, Dong Woog Lee, Soo‐Hyung Choi   +7 more
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Modular Calabi-Yau fourfolds and connections to M-theory fluxes

Journal of High Energy Physics
In this work, we study the local zeta functions of Calabi-Yau fourfolds. This is done by developing arithmetic deformation techniques to compute the factor of the zeta function that is attributed to the horizontal four-form cohomology.
Hans Jockers, Sören Kotlewski, Pyry Kuusela   +2 more
doaj   +1 more source

High Throughput Arithmetic Computing Unit for BFV Homomorphic Encryption

IEEE Open Journal of Circuits and Systems
Homomorphic Encryption (HE) enables secure computations on encrypted data, which is crucial for cloud and edge computing. The BFV scheme, widely used for integer arithmetic, faces performance bottlenecks in polynomial multiplication, especially in tensor
Rella Mareta, Ardianto Satriawan, Hanho Lee   +2 more
doaj   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

New Residue Arithmetic Based Barrett Algorithms: Modular Integer Computations

IEEE Access, 2016
In this paper, we derive new computational techniques for residue number systems (RNSs)-based Barrett algorithm (BA). The focus of this paper is an algorithm that carries out the entire computation using only modular arithmetic without conversion to ...
Hari Krishna Garg, Hanshen Xiao
doaj   +1 more source

Modular arithmetic

, 2016
This visually illustrates various properties of modular arithmetic by creating an "operation table" modulo n, where 0 is represented by black, 1 by white, and other values by intermediate colors. The allowed numbers can be restricted to be nonzero or the
Moretti, Christopher
core   +2 more sources